Biometric Security

NETSCOUT®, a provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, announces enhancements to its Arbor Edge Defense (AED) solution that helps enterprises maintain the availability of revenue-generating and mission-critical applications against sophisticated DDoS attacks that evade or bypass content delivery network (CDN) DDoS defences. The enhancements identify malicious sources concealed behind shared CDN infrastructure and apply precise, service-specific countermeasures to block attacks without denying access to legitimate customers using the same CDN. Accelerating digital experiences “Cybercriminals launch DDoS attacks for many reasons, but the ultimate outcome is to drain the targeted organisation’s resources,” said Christopher Rodriguez, research director, security and trust, IDC. “These attacks pose significant operational and financial risk because adversaries can target multiple layers of an organisation’s infrastructure and rapidly shift attack methods. Effective DDoS defence must be dynamic, highly performant, and broad enough to protect critical services across the attack surface.” Organisations rely on CDNs to accelerate digital experiences and absorb large-scale traffic surges, but CDN deployment alone does not eliminate DDoS risk. Dynamic applications, APIs, authentication services, uncached requests, and exposed origin infrastructure can remain vulnerable. Attackers exploit these gaps by sending DDoS attacks disguised as application-layer traffic that resembles legitimate user activity. CDN DDoS defences can miss this traffic because they focus on detecting volumetric DDoS attacks and rely on generic protections that are not customised to the individual customer applications being protected. Inspect application traffic These advanced application-layer DDoS attacks bypass CDN DDoS protections to the customer data centre, causing outages and impacting revenue. Defenders must either allow the attack through or block it, including the legitimate traffic along with it. NETSCOUT restores source-level visibility and enables precise mitigation of all CDN traffic closer to the protected service. The enhanced AED solution enables enterprises to: Reveal attack sources hidden by CDN proxies: AED integrates a high-performance TLS transparent proxy to decrypt and inspect application traffic, identify its true source from application headers, and apply precise application-layer DDoS countermeasures to block DDoS traffic that CDNs do not Stop application layer attacks: Detect traffic designed to exhaust application, API, authentication or infrastructure resources Protect applications with service-specific policies: Apply countermeasures tailored to the behaviour and requirements of each protected service Preserve legitimate customer access: Block malicious traffic precisely without denying service to broad ranges of users behind shared CDN infrastructure and without impacting other traffic arriving from the CDN proxy Defend direct and CDN-mediated traffic paths: Mitigate attacks that pass through the CDN as well as attacks that bypass it and target origin infrastructure directly Extend existing CDN investments: Add an independent layer of protection and visibility without requiring the enterprise to replace their CDN provider Mimicking legitimate traffic “Enterprises cannot assume that putting a CDN in front of an application protects every path attackers can use to reach it,” said Scott Iekel-Johnson, AVP, product management, NETSCOUT. “Attackers increasingly look for ways around defences, including targeting origin infrastructure directly or slipping through the CDN by mimicking legitimate traffic. AED closes those gaps by extending DDoS protection beyond the CDN, closer to the application itself, securing the paths attackers still exploit, enabling enterprises to protect critical applications precisely while keeping legitimate customers connected.” Business-critical applications The AED enhancements extend NETSCOUT’s established DDoS protection portfolio into an increasingly important point of enterprise exposure: the connection between shared cloud delivery infrastructure and business-critical applications. By complementing existing CDN investments rather than requiring organisations to replace them, AED helps customers address a significant area of exposure while extracting greater security value from current infrastructure investments. For enterprises whose revenue, operations and public services depend on application availability, this provides an additional layer of resilience at the point where an attack can have the greatest business impact.

F5, the global pioneer in delivering and securing every app and API, introduces significant enhancements to the F5 AI Gateway and integrated the solution into the F5 AI Security Platform. The enhanced F5 AI Gateway seamlessly enforces policies on every AI request, giving enterprises a unified control plane to govern how AI models, agents, and tools are accessed and used, while optimising the economics of AI at scale. Enterprises have moved past AI experimentation, but governance has not kept pace. AI traffic still moves through a patchwork of standalone proxies and monitoring tools that were never built for AI, with no guardrails in between. Unified control plane According to F5’s 2026 State of Application Strategy Report, 77% of organisations say inference, rather than model training or tuning, is now their dominant AI activity, and organisations are managing an average of seven AI models. As inference scales, tokenomics is becoming an increasingly important consideration, with every model request carrying implications for cost, performance, and security. Yet the piecemeal approach to standalone tools to secure AI traffic leaves enterprises without consistent control over how models and agents are accessed and used. Customers accelerate innovation "We're watching enterprises race to deploy AI while struggling to control it," said Kunal Anand, Chief Product Officer at F5. "Every AI request carries economic, security, and governance implications, yet most organisations are relying on fragmented tools that address only part of the problem. The result is rising costs, increased risk, and operational complexity. F5 AI Gateway, integrated into the F5 AI Security Platform, provides a single control point for managing AI across models, clouds, agents, and applications. We believe every enterprise will need an intelligent control layer for AI. F5 is building that foundation, helping customers accelerate innovation while maintaining visibility, security, and control." F5 AI Gateway brings three critical functions together in a single integrated solution: Model Gateway for model access and cost optimisation MCP Gateway for agent-to-tool governance AI Guardrails for prompt and response protection Single integrated solution Budgets, model routing policies and agent access controls are set once centrally and enforced across distributed environments wherever the models, agents and AI apps run, providing a single operations pane for AI platform ops, AI Security ops and finance teams. Rapid adoption of AI is fueling the need for AI gateways. According to a recent Gartner® report, "AI gateways have emerged as a critical part of AI infrastructure, as enterprises need tools to support safe, efficient and controlled access to AI models and MCP servers. Adoption of AI gateways will continue to accelerate among large enterprises." Fine-grained access controls Organisations that cannot see which teams, models, and providers are consuming tokens cannot assess the value and costs of using AI. F5 AI Gateway puts tokenomics under control: the Model Gateway function attributes every token by provider, model, team, and user, per-team budgets enforce limits as spend occurs rather than after the invoice arrives; and automated optimisation — smart routing and model tiering, semantic caching, and GPU-aware load balancing — routes each request to the right model at the right cost. The solution is designed to reduce token spend by up to 60 percent, with no application changes. As agents multiply, so do the MCP servers they call, usually with no central registry, no per-tool authorisation, and no record of what agents are doing. The MCP Gateway function of F5 AI Gateway provides fine-grained access controls that limit agents to the resources they are explicitly authorised to use, including APIs, data sources, and RAG systems. Redacting sensitive data A complete audit trail captures what was accessed, when, by which agent, and on whose behalf. MCP server registry gives teams a single source of truth for approved MCP servers, thereby removing friction for developers who would otherwise find it challenging to discover which servers and tools exist. Personal data, health records, and intellectual property move through AI applications every day, and that data usually reaches external models uninspected while injection and jailbreak attempts go undetected. F5 AI Guardrails inspect every prompt and response, redacting sensitive data before it reaches the model, blocking injection and jailbreak attempts, and failing closed when a request cannot be evaluated. Full audit trails, SIEM export, data residency controls, and alignment with SOC 2, ISO, and HIPAA frameworks give regulated industries the evidence they need before putting AI into production. Hybrid multicloud environments F5 introduced the F5 AI Security Platform earlier this year to give teams continuous visibility, governance, and protection across enterprise AI applications, models, agents, and the APIs connecting them. Four integrated pillars — AI governance, AI usage control, AI security testing, and AI runtime protection — plus an overarching observability layer, create a persistent security lifecycle rather than a one-time compliance exercise. F5 AI Gateway is where those pillars meet live traffic, putting policy into force at the point of interaction and controlling what AI can access, what it can expose, and, crucially, what it can cost the business. F5 AI Gateway is deployable across SaaS, hybrid SaaS, and hybrid multicloud environments, with air-gapped support planned for regulated and sovereign use cases.

Zimperium, the global pioneer in AI-empowered mobile security, announces new research from its zLabs threat research team detailing the evolution of ToxicPanda 2.0, an advanced Android banking trojan that significantly expands both its technical capabilities and the scale of its fraud campaign. The latest variant represents a new generation of the original ToxicPanda banking Trojan and introduces 167 remote commands, expanding credential theft from a handful of banking applications to 349 banking, financial, e-wallet, and cryptocurrency applications across 16 countries, and adding sophisticated techniques to compromise Android devices, harvest banking credentials, and maintain long-term persistence on infected devices. Adding sophisticated techniques As mobile app adoption continues to rapidly grow for use in banking services, enterprise applications, digital identities, and sensitive corporate data, increasingly sophisticated Android malware poses ever greater risks to both consumers and corporations. "ToxicPanda 2.0 demonstrates how quickly mobile malware continues to evolve," said Nico Chiaraviglio, Chief Scientist at Zimperium zLabs. "Rather than simply stealing credentials, this malware automates device compromise, expands financial targeting on a global scale, and abuses legitimate Android features to gain control over infected devices. It reflects the increasing sophistication of modern mobile threats." Zimperium's AI-empowered, on-device mobile security protects organizations against advanced threats like ToxicPanda by detecting malware, device compromise, phishing overlays, and malicious application behavior before attackers can steal credentials or gain control of the device.

Allied Universal®, the world’s pioneer security and facility services provider, announces the appointment of Jordan Avnaim as Global Chief Information Security Officer. Avnaim will be responsible for the company’s global cybersecurity strategy and operations.  Avnaim brings more than 20 years of experience to this role and will lead the development and implementation of a comprehensive, risk-based cybersecurity program designed to help protect Allied Universal employees, systems, data and technology platforms against evolving cyber threats. Reporting to Loretta Cecil, global general counsel, he will also oversee and manage the company’s cybersecurity resources and teams, working closely with our technology, legal, operations and business teams across more than 100 countries and territories. Complex global organisations “Protecting our people, systems and data is fundamental to our ability to serve customers and operate effectively around the world,” said Steve Jones, global chairman and CEO of Allied Universal. “Jordan is an accomplished cybersecurity leader who combines deep technical expertise with a clear understanding of business operations and enterprise risk. His leadership will help us continue to strengthen our cyber resilience while supporting the innovation and responsible growth of our company.” Experienced in developing and pioneer cybersecurity, technology risk and regulatory compliance programs for large, complex global organisations, Avnaim has advised boards and executive leadership teams, strengthened enterprise security capabilities and built high-performing teams focused on protecting critical infrastructure, sensitive information and business operations. Enterprise risk management “Jordan brings an exceptional combination of cybersecurity leadership, enterprise risk management experience and sound business judgment,” said Loretta Cecil, global general counsel of Allied Universal. “He has demonstrated an ability to translate complex technical risks into clear business priorities, respond effectively when incidents occur and establish accountability across large global organisations. Jordan will provide independent oversight and transparency while enabling close collaboration with our technology and operational leadership.” Previously, Avnaim served as chief information security officer at Hyundai AutoEver America and at Entrust Corp. where he was responsible for the company’s global information security program across more than 150 countries, 40 offices, and 20 data centers. He also held several senior technology risk and information security leadership positions at the Capital Group Companies. Operational readiness and collaboration Avnaim holds a Master of Engineering in management of technology, with an emphasis in information security and risk management, and a Bachelor of Engineering in computer engineering and mathematics from Vanderbilt University. He is a Certified Information Systems Security Professional, Certified Information Systems Auditor and a member of InfraGard, ISACA and ISC2.  “I am honoured to join Allied Universal and support an organisation whose mission is centered on helping keep people and businesses safe,” Avnaim said. “Cybersecurity is a shared responsibility that requires strong governance, operational readiness and collaboration across every part of an organisation. I look forward to working with colleagues around the world to further strengthen Allied Universal’s cybersecurity capabilities, protect its critical assets and support the company’s long-term growth.”

Cellebrite DI Ltd., a pioneer in AI-powered Digital Investigative and Intelligence solutions for the public and private sectors, today announced that Cellebrite Genesis is expanding to more global markets and is now generally available for enterprise organisations. The expansion builds on a successful early access program and strong momentum following Genesis' June 2026 public safety launch. Genesis has seen meaningful user growth worldwide and continues to expand internationally, with availability now in Australia and the United Kingdom and is expected to be available to the European Union later this month. Public safety departments Made generally available for the public sector in June, Genesis is serving a growing mix of national, regional and local agencies around the world, including some of the world's largest regional and metropolitan police departments along with public safety departments, law enforcement agencies, prosecutors' offices and correctional facilities of varying sizes. Purpose-built for a broad range of corporate investigations, Genesis helps enterprise teams move from manual evidence review to AI-assisted investigation that surfaces connections in minutes rather than weeks for internal corporate investigations spanning employee misconduct to financial fraud, M&A due diligence, insider threat and incident response, eDiscovery pre-processing and regulatory and compliance matters. Uncover missed connections As Cellebrite customers apply Genesis to active cases, the impact is tangible, accelerating the speed and efficacy of investigations across an array of crime types such as crimes against children, narcotics, human trafficking, homicide and cold cases. The following examples demonstrate how Genesis helps investigators move faster, uncover missed connections and turn digital evidence into action: Averting a planned school shooting: Following the arrest of a young student who threatened to commit a school shooting, investigators queried his phone data in Genesis and, within five prompts, identified and apprehended a second student across the country plotting a similar attack. Surfacing evidence that helped protect children: Genesis surfaced new information that had been missed in the initial manual review of a suspect's device, giving investigators the probable cause needed to arrest an accused child predator after a year-long investigation. Converting prison conversations into actionable intelligence: A major law enforcement agency used Genesis to analyse three months of phone calls by five prison inmates and identified three minutes of conversations that involved the location of illegal firearms. As a result, the police seized more than 200 guns and arrested three suspects as part of a broader investigation.    Validating findings in a high-profile corporate investigation: In a case of potential financial wrongdoing tied to a scrapped IPO, it took investigators months to piece together who was involved - running the same data through Genesis surfaced it in minutes, while validating the findings. Triaging large video and audio files so a private digital forensics company could quickly isolate 20 video clips showing evidence of a crime, helping their client move the case forward quickly rather than needing to rely on manual review that would have taken days. Uncovering a terrorist financing network: After two months of manual review, a regional police agency used Genesis to immediately gain information about a suspected terrorist finance network. Validating new leads in a missing person cold case: A small county sheriff's department received a new tip related to a cold case. Investigators used Genesis to query all the records, and they were able to immediately determine the new information was not relevant to the case; manually running down this lead would have taken weeks. Mission of protecting communities "Genesis was built on the belief that evidence should move at the speed the investigation demands. In two months, that belief has scaled from early access to a proven solution that is trusted on multiple continents, and now, with enterprise availability, we're bringing that approach to the organisations who want to protect themselves from fraud, insider threats and data theft," said Shiven Ramji, CEO of Cellebrite. "It is exciting to hear the impact Genesis is having on investigations and our customer feedback. Genesis is an example of the rapid innovation our customers can expect, ensuring we can deliver on our mission of protecting communities, nations and businesses." Proprietary chat platforms Innovation within Genesis continues to move forward. The Company also added Deep Investigator, a new capability for mobile extractions. Deep Investigator surfaces data that usually resides in unparsed and other databases, thus going deeper into the content of mobile devices, helping investigators uncover digital evidence that lives in hard-to-reach places, including brand-new applications, proprietary chat platforms and data sources that are not fully understood. Deep Investigator automatically surfaces additional investigative leads with citations to the underlying evidence while applying Genesis' built-in guardrails, ensuring responses remain grounded only in the provided evidence. Every query and action is logged with the user's identity and timestamp, creating a complete audit trail. In the coming months Cellebrite expects to include new features and enhancements that add both expanded agentic capabilities and increased support for additional data sources. These innovations are designed to help investigators work smarter and faster, with an even better user experience.

Genetec Inc., the global pioneer in enterprise physical security software, releases retail-specific findings from its 2026 State of Physical Security Report. Based on responses from retail professionals worldwide, the research shows retailers increasingly view physical security as a business function that supports operations, employee safety, and modernisation efforts—not solely loss prevention. While retailers continue to manage everyday security challenges across stores, many are expanding how they use physical security data to improve decision-making, increase operational efficiency, and get more value from existing technology investments. Traditional loss prevention metrics Retailers are increasingly looking beyond traditional loss prevention metrics and using physical security data to improve broader business outcomes. More than 60% of retailers identified improving operational efficiency within the security department as a primary objective for security data, while an equal percentage said improving safety and security was a top priority. More than half (55%) cited compliance, and nearly half (48%) said they are using security data to improve the customer and employee experience. Despite growing interest in AI and analytics, many retailers remain focused on modernising aging environments before expanding their technology footprint. The report found aging physical security infrastructure (40%), training and upskilling staff (38%), attracting and hiring talent (37%), and aging IT infrastructure (33%) ranked among retailers' biggest operational challenges. These challenges are influencing how retailers approach modernisation. Leverage existing technology Rather than replacing entire systems, retailers are pursuing measured modernisation strategies. Looking ahead, 54% of retailers plan to leverage existing technology to address new challenges, 51% intend to use AI to streamline security processes, and 48% plan to evaluate new security systems for specific use cases. “Physical security is becoming a strategic business asset for retailers, extending well beyond traditional loss prevention,” said Scott Thomas, National Director for Signature Brands at Genetec. “The retailers that will see the greatest return on their security investments are those that treat modernisation as an ongoing strategy rather than a one-time project. By building on existing infrastructure while introducing new capabilities, they can adapt to changing business needs without sacrificing the value of past investments.”

The eagerness to adopt AI in physical security is increasing as teams want to implement technology solutions for faster, smarter operations. At the same time, the conversations surrounding AI have changed. The focus now includes not only efficiency gains but also concerns about accountability and trust. According to the Genetec 2026 State of Physical Security report, AI ranked alongside access control and video surveillance as a key priority. However, approximately 40% of the over 7,000 physical security leaders surveyed expressed concern about how AI systems use their data. The potential for malicious purposes followed close behind at 36%. You may recognise this tension in your own organisation. There is an expectation that AI can help operations and an understanding that AI entails risks. Balancing the two includes careful deployment and policies. Higher stakes demand a higher standard AI can quickly spot the difference and elevate the event to the security team Most AI applications in physical security revolve around automation. Basic examples include triggering events, filtering and classifying alarms, and enabling faster searches across video and event data. These applications tackle the persistent security challenges of too much noise and too little context. AI takes on some of the lifting, cutting the false positives that overwhelm operators and adding context to the events that remain. For example, someone loitering near an entrance may not be a notable event. While someone loitering and trying door handles is a priority. AI can quickly spot the difference and elevate the event to the security team. From there, the human operator can confirm the issue and next steps. AI narrows the operator's focus rather than replacing their judgment. Higher standard of supervision While these uses improve operator efficiency, they need to be implemented responsibly. Irresponsible AI usage in physical security is more than a simple inconvenience. The outputs affect safety and security. AI applications within physical security demand a higher standard of supervision. This oversight is often referred to as “human in the loop,” but perhaps a better phrase is "expert in the loop." The person validating an output needs the knowledge to question it, contextualise it, and overrule it if needed. How to deploy responsible AI Deploying responsible AI starts by defining where AI can add value to your specific organisation Deploying responsible AI starts by defining where AI can add value to your specific organisation. AI works best as a tool with a defined job. What is the problem that needs to be solved? What challenges are holding back the team? Start by identifying the problems, then work backward to a solution. Otherwise, you may be implementing technology that doesn’t fully meet your needs. Next, define parameters around AI usage within your team. Document exactly what AI is permitted to do and not allowed to do within your operations. Information should include which use cases you've approved, what data the system can access, and how issues escalate. By defining these elements, your team has clear guidelines on when AI tools are part of your security procedures and for what purposes. Cross-functional monthly meetings Because AI can behave unpredictably, it’s good to prepare for when something does go wrong. Even a well-built model will eventually drift from its thresholds. This is where governance comes in. Governance is what keeps responsible AI holding up over time. It sets the review cycles that catch an issue before an incident does. Governance related to AI entails data privacy, liability, and regulation. Input from legal, compliance, cybersecurity, and IT teams is important. Getting these groups together starts with something as simple as cross-functional monthly meetings to review use cases and emerging challenges. Consider also working with other manufacturers, integrators, and end users across your ecosystem. In doing so, you create shared standards that make issues diagnosable. Responsible AI as a practice, not a project The goal is to protect individual rights and build trust without hampering technological advancement Responsible AI usage in security is not a box to check or a project to complete. It's an ongoing practice, especially as the compliance bar rises. As more AI security risks surface, governments are drafting legislation to regulate how organisations can develop and implement AI-enabled technology. The goal is to protect individual rights and build trust without hampering technological advancement. Identified risk category For example, the 2024 AI Act in the European Union (EU) sets obligations for various AI applications based on their identified risk category. These requirements include creating adequate risk assessments and mitigation practices, using high-quality training datasets to reduce bias, and sharing detailed documentation on models with governing authorities as needed. In the US, multiple states have implemented legislation on AI use, and national legislation has been discussed. Organisations can begin by implementing documented processes for guidelines and governance: Conduct risk assessments: Evaluate how automating a specific process may impact critical systems or safety protocols Identify non-critical applications: Start by implementing AI into processes that aren’t central to your most critical operations to curb major business disruptions Prioritise human-centred design: Ensure that AI applications always empower humans with the information they need to make the best decisions Design for explainability: Ensure AI decisions can be explained and traced, so the expert in the loop can question, verify, or overrule them when needed. Broaden data protection strategies: Apply cybersecurity measures and best practices to AI-enabled solutions, including regular audits and system updates Choose trusted vendors: Work with vendors who follow responsible AI principles, considering biases, data protection, and cybersecurity Core pillar of physical security The industry is slowly converging on shared standards for AI governance. This is good news for early adopters who wish to shape the industry rather than react to it. The potential applications of AI in security are exciting. But as this technology evolves, so do the risks. Strong governance builds trust, a core pillar of physical security. Responsible AI protects that trust and earns more of it. Start by defining your outcomes, building guardrails, and creating accountability structures to support your organisation’s responsible use of AI technology.

The biggest return on investment from an AI-enabled camera might have nothing to do with security. Organisations are increasingly discovering that the same cameras installed to protect people and property can also improve safety, streamline operations, automate routine workflows, and generate valuable business intelligence. Security remains the primary mission, but it is increasingly only the first customer for the intelligence these systems produce. AI-enabled cameras are rapidly becoming distributed IoT sensors that continuously observe, interpret, and describe their surroundings. Instead of simply producing video, they generate rich metadata about people, vehicles, objects, movement, and activities. That information has value far beyond surveillance. As organisations look for better ways to improve efficiency, reduce costs, enhance safety, and automate routine operations, they are discovering that the same camera installed to monitor a doorway or parking lot may also become one of the most valuable operational sensors on the network. From video to metadata For years, higher resolution dominated the conversation around video technology For years, higher resolution dominated the conversation around video technology. More pixels promised better evidence and clearer images. While image quality remains important, AI has fundamentally changed where the real value lies. Modern edge AI processes video directly inside the camera, identifying people, vehicles, objects, behaviours, and countless other attributes as events unfold. Instead of transmitting every frame for centralised analysis, the device generates lightweight metadata that describes what it sees. That metadata can be searched, filtered, shared, and consumed by other applications without requiring operators to review hours of video footage. This fundamentally changes the role of the camera. Rather than acting as a passive recorder, it becomes an intelligent sensor that continuously feeds structured information into operational workflows. Once organisations begin thinking in terms of metadata instead of video, entirely new applications emerge. Movement of critical equipment The security department may have purchased the camera, but it is increasingly supporting decisions made by operations, facilities, safety, transportation, and executive leadership. In healthcare, cameras can do far more than document incidents. AI applications can detect when someone has fallen, help staff locate misplaced wheelchairs, count ambulances arriving at emergency departments, or monitor the movement of critical equipment throughout a facility. These capabilities improve patient care while reducing the time staff spend searching for resources. AI-enabled cameras As an IoT sensor, the camera has become a shared resource across multiple departments Logistics organisations are seeing similar benefits. AI-enabled cameras can monitor for compliance issues, automate gate operations using license plate recognition, validate vehicle movements, and track pallet or trailer activity throughout a distribution center. Security remains important, but the same infrastructure also improves throughput, reduces manual processes, and provides operational visibility across the facility. Barnet Council in the United Kingdom initially modernised its video infrastructure to improve safety and security. Today, the same cameras generate people and vehicle counts that support planning decisions for parks, transportation, libraries, festivals, and other public spaces. Rather than serving only security personnel, the system supplies operational data that helps city planners make better infrastructure and investment decisions. As an IoT sensor, the camera has become a shared resource across multiple departments. Metadata is only valuable when it drives action Collecting more information just because it’s possible is not the objective. Organisations are already overwhelmed with data. The real opportunity lies in intelligent automation. The greatest operational value comes when AI-generated metadata automatically triggers meaningful workflows rather than simply identifying people or vehicles. When a person enters a restricted area after hours, a PTZ camera can automatically focus on the activity while lighting activates to deter loitering. Security personnel receive alerts only if the individual remains in the area. License plate recognition AI handles repetitive operational tasks while people remain responsible for judgment and response When a worker collapses inside a manufacturing facility, safety personnel are immediately notified while responders receive precise location information. At a logistics gate, license plate recognition can validate vehicle credentials, update operational systems, and document the transaction automatically. In each example, AI handles repetitive operational tasks while people remain responsible for judgment and response. This transition from detection to intelligent automation may ultimately deliver greater value because it focuses on outcomes rather than observations. The business case is getting stronger Perhaps the most significant consequence of this evolution is organisational rather than technical. Historically, video projects were often justified solely through security budgets. Return on investment depended largely on reducing theft, improving investigations, or strengthening compliance. Today, the value proposition reaches far beyond the security department. Facilities managers use camera data to understand occupancy and space utilisation, operations teams streamline workflows, safety officers monitor hazardous activities, transportation managers optimise vehicle movement, and executives gain measurable operational metrics that support planning and resource allocation. The same camera infrastructure can now deliver value to multiple departments, making investment decisions easier to justify while improving long-term utilisation of existing assets. Open ecosystems will determine who benefits most Metadata creates the greatest value when it flows freely between systems As cameras become operational sensors, another requirement becomes increasingly important: openness. Metadata creates the greatest value when it flows freely between systems. An AI-enabled camera may generate valuable operational information, but that information becomes significantly more useful when it integrates with video management systems, access control, public safety platforms, business intelligence software, facility management applications, or other third-party operational systems. Organisations want the flexibility to add new AI applications as needs evolve without replacing existing hardware. Developers benefit from standardised platforms that allow applications to run consistently across different environments, while integrators need the freedom to build solutions that reflect each customer's unique operational requirements rather than forcing every deployment into the same proprietary framework. Open architectures make that possible. Looking beyond security AI is expanding the role of the camera far beyond traditional security. Organisations are increasingly treating AI-enabled cameras as operational infrastructure that improves safety, streamlines workflows, and supports better decision-making across the enterprise. Every day, AI-enabled cameras observe facilities, generate metadata, automate workflows, and provide actionable information that helps organisations make faster, better decisions. Security remains the foundation, but the same intelligence now supports business operations, public safety, healthcare, logistics, transportation, and smart city initiatives. Organisations that recognise this shift early will find that one of the richest sources of operational intelligence is already installed throughout their facilities. They simply need to start thinking beyond security.

Across many sectors, AI is transitioning from an experimental process to a trusted tool, but how will construction - and architectural ironmongery specifically - balance this technological opportunity with traditional practice? Artificial intelligence was once considered the trend of tomorrow, but it’s now here, and already it’s impacting the design, specification and management of the built environment. Following a period of refined development, the technology is emerging as a valuable tool for architectural professionals, with its growing role signifying far more than a passing industry trend. Passing industry trend According to the Royal Institute of British Architects’ (RIBA) Artificial Intelligence Report 2025, 59% of architectural practices now use AI on at least some projects, an increase from 41% in 2024. Furthermore, a global survey led by the Royal Institution of Chartered Surveyors in 2025 found that 56% of investors planned to increase AI investment, suggesting that the rate of adoption will continue to accelerate over the coming years. However, whilst innovation typically creates opportunity, there are challenges to address These findings represent a cultural shift, one where AI is firmly embedding itself into workflows and influencing the decision making process. However, whilst innovation typically creates opportunity, there are challenges to address. As more professionals equip themselves with an arsenal of AI-driven tools, are we in danger of becoming overly reliant on technology? Or are those reluctant to adapt likely to be left behind? Daniel May, Director at Consort Architectural Hardware, shares insight: Repetitive administration tasks “The development of the built environment has always relied on technical precision. Specifications naturally contain large volumes of product information and technical data, with professionals managing document-heavy tasks in the form of specification writing, door scheduling and BIM coordination in order to meet project requirements and compliance obligations. All of this data must be analysed and processed accurately - often in line with demanding timescales - and it is here where AI can offer the greatest value.” “Where time was once consumed by repetitive administration tasks and information processing, professionals are now embracing AI as a means of working more efficiently. For architectural ironmongery specifically, where specification accuracy is critical, AI has the potential to support architects and specification professionals as they navigate the product selection process. As a tool, AI can streamline documentation by rapidly processing performance data and certification requirements, whilst also identifying inconsistencies and absent compliance information within schedules.” Complex project requirements “AI systems are helping professionals navigate increasingly complex project requirements quickly, accurately and consistently. As machine learning and autonomous models continue to advance, these tools may further reduce the administrative burden associated with architectural work models whilst improving accuracy and minimising the risk of human error in the process. With that said, the effectiveness of AI software is very much reliant on the quality of the information it receives.” “With the sector so deeply tied to fire safety, accessibility, security and regulatory standards, the caution around adopting AI as common practice is of course justified. Historically, much of the construction industry has been measured in its adoption of new technology, partly due to the critical nature of compliance and the significant consequences of error. Though, AI feels somewhat different because of its pace and potential, and as such, organisations must be measured in their approach to it, ensuring that professional knowledge remains central to delivering safe, efficient and compliant building projects.” The human element As industry standards and the legislation surrounding the built environment continues to evolve, so too will the methods used to achieve high level design and compliance. Seemingly, AI looks set to have an increasingly prominent role, but it should be viewed as a collaborative partner capable of enhancing professional expertise as opposed to a system that can, or should, do it all. Daniel continues: “At this stage, AI alone simply can’t understand the nuances of individual projects and that has implications for both design and compliance. This is particularly relevant in the post-Grenfell regulatory landscape, where accountability, traceability and evidence-based decision-making have become fundamental to product specification and delivery.” Building greater trust “Although AI can assist with information processing, the technology is not ultimately responsible for the decisions being made. Accountability has rightly become a major focus point in construction, and as AI continues to disrupt practices, the industry must ensure that responsibility remains clearly defined. AI-driven errors could lead to serious penalties in relation to compliance, safety and project delivery, proving human expertise remains critical.” “Moving forward, greater transparency within AI systems will be key. If professionals are able to understand how or why AI recommendations have been generated, they can assess them with confidence, building greater trust in the technology.” Architectural design solutions “When it comes to architectural design, the emotional intelligence, contextual understanding and creative balance offered by a team of professionals far outweighs the speed that AI can offer. Already, AI is being used to support visualisation and concept development for multi-layered projects in hospitality, healthcare and commercial environments to name a few, helping teams to explore ideas and communicate concepts at a quicker rate.” “However, can AI effectively develop architectural design solutions based on the bespoke requirements of a project, the operational needs of its users or even the general character of the building? Most would argue that it’s not conceivable, because AI lacks the lived experience and contextual understanding that comes from being present in the project itself.” Architectural ironmongery products “For architectural ironmongery products, professionals must regularly assess how products will function in real environments. Human intuition is impossible to replace and those informed design decisions, made by human professionals, will always be essential. Whilst some question whether AI could one day plan and deliver a project from concept to completion, perhaps the more important question should be whether future generations of professionals could lose the critical design and specification skills that are needed, should the industry become too dependent on AI.” “There is a growing sense of inevitability surrounding AI’s influence on architectural ironmongery and the wider built environment. As the industry continues to embrace this new wave of technological development, it is important to remember that innovation must complement the knowledge, judgement and accountability of the professionals who create safe and functional buildings, not replace it.”

Deploying artificial intelligence (AI) tools should be seen as a business initiative rather than a technology initiative, says Martin Soukup, CTO of Solink, a cloud-based video security and data intelligence platform. The approach makes a difference that plays out in practical terms. A technology initiative is tactical and solution-oriented, often solving an isolated problem within a single department's silo. In other words, it might solve just a security problem. In contrast, a business initiative is cross-disciplinary, driven by executive leadership to impact the entire organisation in a measurable way. “Viewing AI tools as a business initiative ensures they adapt to multiple departmental needs and drive high-level strategic growth rather than just fixing a localised technical issue,” says Soukup. AI platform combines video and business systems Demonstrating the value of embracing AI as a business initiative is Solink’s new video intelligence platform Demonstrating the value of embracing AI as a business initiative is Solink’s new video intelligence platform that combines video with business systems to detect threats and send real-time alerts. The capabilities are designed to help security teams operate smarter and more efficiently, supporting the next generation of lean, intelligence-driven security operations centers (SOCs). And benefits of the platform extend beyond security to include other parts of the business. “At the end of the day, video cameras only tell part of the story, much like looking at a 2D shape,” says Soukup. “They capture dimensions and colors, but only from a single perspective, even with powerful AI analysis providing traffic metrics, wait times, product interaction, and compliance logs. The addition of operational data, such as inventory, shipping, labor, and sales data, fills out that shape into 3D, adding critical context.” For example, while a camera simply shows three people standing in a line, and AI data flags that those individuals have been waiting for over five minutes, operational data lets you know also that a cashier has not checked into their shift yet. Combining these data streams gives businesses full situational awareness, turning passive observation into immediate, contextual intervention. AI agents handle repetitive tasks The Solink platform uses AI Agents, which are software that operates autonomously to handle manual, repetitive, or high-volume tasks based on specific instructions and tools. For Solink users, AI Agents unify their existing camera and data source investments into a single automated workflow. “AI Agents transform Solink from a security tool into an operational investment that benefits all departments,” says Soukup. “Modern operational leaders are turning to AI to scale productivity without increasing overhead.” Integrating business intelligence Operations checks compliance, loss prevention investigates theft, and security assesses threats Customers already use Solink to centralise video, integrate business intelligence, and trigger real-world responses like real-world alerts, two-way communication, or smart locks. AI Agents tie these pieces together, analyse the data and identify what matters most, and then take action either without human intervention or with humans in the loop. Businesses currently watch video manually across separate workflows. Operations checks compliance, loss prevention investigates theft, and security assesses threats. However, a human must always watch the footage to get results. Solink AI Agents automate this entire workflow. If an operational event can be seen on camera and matters to the business, a Solink Agent can be integrated to automatically review, assess, and trigger the next step in the workflow across hundreds or thousands of locations simultaneously. Calling all stakeholders to the discussion When discussing applications, stakeholders should include revenue and marketing officers, compliance officers, and line-of-business executives. Agents leverage existing infrastructure by adding an intelligent automation layer that drives efficiency and grows revenue across the entire organisation without large capital investment. Solink AI Agents will not replace employees; they empower lean teams to maximise their existing resources. Job descriptions will shift toward human-in-the-loop workflows where humans and machines collaborate. The AI Agent handles the high volume, filtering out noise and processing data at scale. Human employees set up and guide the Agents, give feedback to improve performance over time, and step in to make final decisions, managing the nuanced situations that require critical thinking, empathy, and deep context. Passive data visualisation In contrast, a Solink AI Agent is deployed with a clear mandate for a specific task, deliverable, or outcome Given the convergence of physical and digital security, AI Agents, not dashboards, are the right unit of enterprise AI deployment. Dashboards typically aggregate data without evaluating the context or importance of the source. Data looks identical whether it comes from 10 sources or 100. In contrast, a Solink AI Agent is deployed with a clear mandate for a specific task, deliverable, or outcome. This approach shifts the focus from passive data visualisation to active intent, creating a direct path of accountability and clear attribution for business results. With dashboards, everyone can see the problem, but nobody owns it. An agent with a mandate either did the job or it did not, and you can audit exactly what it saw and why it acted or did not. Overcoming obstacles to deploy AI agents The primary obstacles to integrating AI Agents into the physical security workflow are change management, building trust, and system interoperability. Physical security requires absolute reliability, which demands rigorous initial configuration to establish trust. Furthermore, Agents are only as effective as the data they can access. Overcoming these hurdles requires comprehensive team training, shifting organisational mindsets, and ensuring seamless integration with existing tools so the Agents have the full context needed to execute tasks accurately and integrate with human workflows seamlessly. Addressing common security challenges Several use cases are driving the deployment of AI Agents among Solink's customers Several use cases are driving the deployment of AI Agents among Solink's customers. Overnight guarding, loss prevention, and store readiness will be the first wave of use cases. These are proven, high-frequency scenarios in which Solink provides pre-built template Agents to address common security challenges out of the box. The second wave of use cases will include highly customisable occupancy tracking, health and safety, and food quality. Pre-built template Agents are coming for these next. In addition, custom, niche operational use cases can be tailored to a specific business environment. Just like hiring a specialised contractor, companies can deploy custom Agents to tackle unique operational challenges rapidly across all locations. Measuring the effectiveness of AI agents The effectiveness of AI Agents can be measured by multiple factors. Core Accuracy, and consistency and accuracy of detections and automated outputs. Business Outcomes delivered, such as reduced inventory loss, reduced fraud, and faster incident resolution. Financial Impact, measured through recovered budget, reduced operational overhead, and increased per-store conversion. There is a perception that AI Agents possess predictive or flawless capabilities, like stopping crime before it happens or operating perfectly in dark, chaotic environments. Not true, says Soukup. AI cannot understand ambiguous requests like "look for suspicious activity." Success requires explicit parameters, tools, and skills, defining what is acceptable, what is unauthorised, and how to handle the gray areas. Another misconception is that Agents need a fundamentally different security model than people. “I run security for this company as well as engineering, and I hold our own Agents to the same standard I would hold a third-party vendor,” says Soukup. “That means least privilege, full audit trails, anomaly detection, random audits, and no action they can't explain after the fact.”

Combining VIVOTEK’s branded video security business with March Networks paves the way for the combined brands to meet customers’ increasing appetite for integrated solutions rather than individual components. The merger brings VIVOTEK's branded video security business together under one operating structure with March Networks’ enterprise-grade video surveillance, AI analytics, and cloud-managed security solutions. Customers now have access to a broader, more integrated portfolio spanning enterprise video management, advanced cameras, edge artificial intelligence (AI), cloud services, recording platforms, and business intelligence, says Net Payne, Chief Sales & Marketing Officer at March Networks and VIVOTEK. Distinct product strategies Given the combined companies, product development, sales, marketing, and customer support can move in step rather than in parallel. March Networks and VIVOTEK were already both part of the Delta Electronics family, but they previously operated as separate businesses with distinct product strategies, teams, and routes to market. March Networks and VIVOTEK announced the merger of their branded video security businesses last spring following Delta Electronics' acquisition of remaining VIVOTEK shares. “Aligning our complementary capabilities lets us innovate faster, simplify engagement, and respond more quickly to a market moving toward AI, cloud and intelligent video,” says Payne. This merger reflects a broader shift across the physical security industry, adds Payne. “Customers no longer see video purely as a tool for reviewing incidents after the fact,” he says. “They expect it to help identify risks earlier, simplify investigations, improve operations, and support better decisions across the organisation.” Cloud video management Meeting customer expectations requires more than bolting AI features onto existing systems Meeting customer expectations requires more than bolting AI features onto existing systems. Rather, it requires cameras, edge intelligence, recording, software, cloud services, and business data working together as one coordinated platform. “By bringing March Networks and VIVOTEK together, we combine deep expertise across the full video technology stack while preserving the relationships, sector knowledge and customer focus both companies have built over many years,” says Payne. “Our goal is to make intelligent video more integrated, scalable, and practical for customers and partners worldwide.” Both entities bring strengths to the combined companies. March Networks brings experience in enterprise software, cloud video management and large-scale deployments; while VIVOTEK brings strength in imaging, camera technology and edge intelligence. Together they seek to ensure more choice when designing systems, a clearer path for future expansion, and technologies that work together more effectively without compromising the reliability, cybersecurity, and support customers expect from both companies. Advantages for channel partners Channel partners gain a broader portfolio to address a wider range of customer requirements, combining components as each deployment demands. Channel partners also benefit from expanded geographic reach, deeper technical expertise, and greater investment in training and enablement. “Importantly, this is designed to be a seamless transition,” says Payne. “Partners keep working with the teams and relationships they already know, while gaining access to new capabilities and certification opportunities. Over time, that alignment should make it easier to design, deploy and support complete solutions.” Because they are established and respected brands, March Networks and VIVOTEK branding will continue to be used. Rebranding is not a goal, and neither identity is being replaced by the other. Coordinated decision-making “The immediate priority is organisational alignment by making it easier for customers and partners to benefit from the combined portfolio,” says Payne. Product branding will continue to reflect the relevant portfolio and market context. As product roadmaps become more closely coordinated, customers can expect greater interoperability and a more cohesive experience, says Payne. Any future branding changes will be managed carefully and communicated clearly. Combining the businesses reduces duplication and enables coordinated decision-making across product strategy, engineering, sales, marketing, operations, and customer support. “Instead of developing capabilities independently, teams can share their expertise, align roadmaps, and direct investment to where it has the greatest customer impact,” says Payne. Combining specialised knowledge globally The combined organisation operates across six continents and more than 75 countries The combined organisation includes more than 300 research and development (R&D) engineers across four Centres of Excellence in Canada, Taiwan, Italy and Poland, thus bringing together a substantial base of specialist knowledge. The unified network also sharpens the ability to prioritise global opportunities, respond to regional needs and bring innovations to market faster. The combined organisation operates across six continents and more than 75 countries, supported by more than 1,100 certified channel partners. That footprint provides greater capacity to support multinational customers while staying responsive to local market needs. Looking ahead, future growth will increasingly come from helping customers turn video into useful, actionable intelligence. “The market is moving beyond conventional surveillance toward solutions combining AI, cloud services, edge processing, video management and operational data — and our new structure brings these together as one connected solution rather than several isolated technologies,” says Payne. Broader technical expertise There will also be closer collaboration among specialists in imaging, hardware, software, analytics, and cloud, which is important given how much customer infrastructure, regulatory, and deployment requirements vary. The companies can support cloud, hybrid, and on-premise environments, giving organisations a practical path toward more intelligent video. More choice comes from bringing together complementary technologies across product groups. Greater scale is achieved through a larger engineering organisation, broader technical expertise and more capacity to invest in innovation. Challenges for the industry at large Looking to the future for the industry at large, the greatest challenge will be managing the rapid growth of AI Looking to the future for the industry at large, the greatest challenge will be managing the rapid growth of AI responsibly, securely and at scale, says Payne. Video systems will generate more data and automate more decisions, but organisations must be able to trust how that intelligence is created, protected, and applied, he adds. “Cybersecurity, privacy, data sovereignty, system interoperability and AI accuracy are more important than ever,” says Payne. Addressing these elements requires expertise across the entire technology stack: from camera and edge processing to recording, cloud infrastructure, video management and analytics. “Together, March Networks and VIVOTEK can coordinate development across all these layers, giving customers flexible architectures that balance innovation with security, transparency and operational control,” says Payne.

IQSIGHT seeks to bring visual intelligence to environments where clarity, reliability, and trust matter the most, says CEO Sabrina Stainburn. Formerly Bosch Video Systems, IQSIGHT is an intelligence-first video security company, combining more than 60 years of engineering expertise with real-time intelligence to help organisations see clearly, act confidently, and improve outcomes in environments when every second matters. While the brand is new, the technology, reliability, and trust behind it are familiar— the products still carry the Bosch name, and the engineering teams remain the same to ensure the continuation of the Bosch legacy. As a result, customers can expect the same standards they rely on today. Embracing emerging technologies IQSIGHT is embracing emerging technologies. “We are applying AI where it delivers value by helping systems understand what is happening and surface the events and patterns that matter most—so customers can detect risk earlier, make faster decisions, and operate with confidence,” says Stainburn. With intelligence at the edge, the cameras act as sensors to secure premises, make buildings safer, and monitor perimeters — without requiring a cloud connection. Edge-based AI also supports integration into existing systems to add visual intelligence without a rip-and-replace — such as adding cameras with visual gun detection outside of entrances or supplementing systems with the ability to detect clothing colour and other attributes. IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities AI-enabled capabilities IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities designed to remove blind spots IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities designed to remove blind spots and support earlier, better-informed decisions. The portfolio continues to include intelligent cameras, such as the FLEXIDOME, AUTODOME, DINION, and MIC models, AI-enabled Intelligent Video Analytics Pro (IVA Pro) offerings, and recording and video management solutions, such as BVMS software. This year, the portfolio will also expand with technologies and solutions built on IQSIGHT’s new intelligence-first platform. Vertical markets that are core to the strategy include government, critical infrastructure, education, and smart cities, all industries closely connected with safety, continuity, and operational performance. In these environments, visual intelligence helps organisations address practical challenges — securing perimeters, enhancing safety, and improving traffic flow — so they can operate securely and efficiently. Visual intelligence helps organisations address practical challenges Operating securely and efficiently “Reliability is essential in these industries, and our cameras are engineered to Bosch quality standards and designed to perform in demanding conditions, including extreme weather, while delivering dependable video and accurate analytics where it matters most,” says Stainburn. “These strengths make our video solutions ideal for any industry where security must be uncompromised.”   IQSIGHT evolves from the sale of Bosch’s security and communications technology product business to European investment firm Triton on June 30, 2025. The product brands for video systems, access control, intrusion systems, and communications systems united under the roof of the new company Keenfinity Group. New organisational structure The Keenfinity Group now operates as a holding company consisting of four businesses In late 2025, Keenfinity Group introduced a new organisational structure designed to unlock the next chapter of growth and innovation. The Keenfinity Group now operates as a holding company consisting of four businesses, including the video systems business now called IQSIGHT. Bosch has a long history of partnerships and integrations, and partnerships will remain essential to how IQSIGHT delivers value and flexibility for customers. “We work closely with technology partners to ensure customers can use visual intelligence within the platforms and architectures that best fit their operations,” says Stainburn. Secure-by-design approach Deep integrations include VMS platforms, such as Genetec and Milestone, thus enabling real-time insights across on-premise and cloud environments. This approach gives customers choice — without compromising performance, security, or reliability, according to IQSIGHT. “Continually strengthening our existing partnerships is vital, and we regularly add capabilities to these integrations to deliver new features to enhance security and safety for customers,” says Stainburn. “Cybersecurity is not a feature for us — it’s a foundation,” Stainburn emphasises. “As video systems become more connected and intelligence moves closer to the edge, trust must be designed in from the start. We take a secure-by-design approach across our hardware, software, and integrations. That means protecting data at every stage — from capture to analysis to delivery.” Combining sight and intelligence Just as important, the company works closely with partners and customers to ensure systems fit into their broader security and IT strategies. “When organisations rely on video to make critical decisions, security and reliability must be non-negotiable,” says Stainburn. Stainburn sees video as evolving from traditional surveillance into “visual intelligence” — moving from simply recording events to understanding what is happening in real time. By combining sight and intelligence, organisations can see patterns, giving them the power to predict events that may happen. Proactively addressing risks Stainburn sees video as evolving from traditional surveillance into “visual intelligence” Traditionally, video security was based on video surveillance — an investigative tool for users to review what has already happened. With AI, users can take a different approach — looking at patterns to better secure their premises and have the foresight to intervene before incidents escalate. AI helps systems understand what is happening in a scene, enabling them to discern between a person standing at a train platform and an individual vandalising a train platform, someone holding a power drill versus someone holding a gun. “This level of visual intelligence brings clarity to unfolding events to assist users in proactively addressing risks,” says Stainburn. AI-enabled video systems With foresight, end users can prevent those events from occurring or other issues from escalating. The ability to discern patterns can also influence decisions around safety, resource use, and the customer experience, says Stainburn. “While security will always remain core, we expect visual intelligence to play an increasingly important role in improving operational efficiency across many environments over the next five years.” Not all AI-enabled video systems are equal. Edge, cloud, and GenAI-based tools have different strengths and selecting one approach over another depends on the application or the problem customers need to solve. IQSIGHT works closely with integrators and end users to understand the challenges they are addressing and to provide guidance on the best AI approach to reduce risks, lower response times, and improve operations. Proof of concept projects are important to demonstrating performance in the real world. That’s where IQSIGHT gains an advantage with solutions that deliver reliable results even in challenging conditions, says Stainburn.

Paxton’s new Solo system is giving student housing providers a simpler way to manage access at scale. This case study looks at how JPR Fire, Security and Data used the phone-based, cloud-hosted security system to modernise access for around 500 students without the need for network infrastructure. Homes for Students provide 235 student housing properties across the UK and Ireland. JPR Fire, Security and Data provide the security system for the One London Road site in Newcastle-under-Lyme. Access control solution Until recently, the housing was secured using a classic standalone access control solution requiring no network infrastructure. The existing system was becoming difficult to manage, with approximately 500 residents across 5 blocks, including the onsite gym. Registered students gain access by entering a valid access code or presenting their fob. The site managers were continuously replacing lost fobs, creating additional running costs for the system. Mike Gater, Department Manager at JPR Fire, Security and Data, approached the site after attending Paxton’s launch event for Solo; a phone-based, cloud-hosted access control system. Mike saw the opportunity to upgrade the site to a more modern solution. Cost-effective option Solo is a smart, convenient, connected access control system. With the simplicity of standalone and the power of a networked solution; Solo is designed to make access control a simple, cost-effective option where a smartphone is used to administer the system and gain access through the door. With the free Paxton Solo app, the site management team can administer access to the premises from anywhere, via their smartphone. For the students, it means never having to remember an access code or to carry a fob, as they will simply use their phone to gain access to their building. Appropriate access permission When a smartphone with appropriate access permission is presented to a Solo controlled door, the phone communicates to the Solo controller using Bluetooth Low Energy frequency to instruct the door to open. With minimal Wi-Fi on site, the phone uses mobile data to confirm appropriate access permissions are available for that door. Where no network connectivity is available, the credential can be stored on the phone for 3-4 hours, to allow access even if the phone is offline. By running Solo alongside the existing standalone system for a period, students were migrated over to Solo in a phased approach. The access code for the legacy system was changed to prevent access via this means, once all residents were up and running with the Paxton Solo app. Existing standalone system Mike said: “As soon as we saw the Solo introduction, we knew it would be a great fit for our clients at One London Road. The premises have no network infrastructure, so a standalone system was always going to be a requirement. But with approximately 500 students on site, our clients would really benefit from more features of a centralised system.” “We know that Solo is very new, but since it’s a Paxton product, we had faith in it from day one. We know Paxton products are reliable, and if it’s needed, the Paxton team is there to support.” As a Paxton Platinum Partner, JPR Fire, Security and Data have extensive experience with Paxton products, so felt very confident in proposing an innovative solution to meet the requirements of their valued and longstanding client. Network infrastructure requirements Mike continued: “Aside from the benefit of Solo being cloud-based, with no network infrastructure requirements, the other real selling point for our customers was the price. The upfront cost of the Solo kit is very accessible. Even with the ongoing cost of the door subscription, our clients would see a cost saving compared to extending their previous standalone system, as they were constantly replacing lost fobs in significant numbers. They were immediately interested in the new system.” With the introduction of the Solo system on site, One London Road was also able to secure access to the students’ common rooms. Where previously access was available to anyone who had gained entry to the building, Solo ensures that only students in residence with appropriate access permissions can use the space by presenting their phone to the Solo DoorTag. Providing accurate information Tallulah-Mae Moran, General Manager at Homes for Students said: “Paxton’s Solo system has reduced the ongoing costs of replacing fobs and time spent doing this. The ability to see the date and time of who accessed which door is extremely useful for us and allows us to manage the site to a better standard and provides accurate information when investigating issues on site. It also allows us to set users up and manage this remotely rather than provide and collect physical fobs. It has been a worthwhile investment and will continue to be effective in years to come.” JPR Fire, Security and Data intends to continue proposing Solo as a solution for all clients who are in search of a standalone system in the future.

Verkada, a pioneer in physical security and operations, announces that the Miami Dolphins and Hard Rock Stadium adopted its platform to enhance fan safety and security. Hard Rock Stadium's new Verkada deployment unifies video security, access control, guest management, intercoms and alarms into a single, cloud-based platform that enables its team to streamline security operations at the scale and speed that the 65,585-seat venue demands. "As a world-class venue hosting global events year-round, we prioritise solutions that align with the scale and pace of our operations," said Sameer Istafa, Chief Technology Officer for the Miami Dolphins and Hard Rock Stadium. "Verkada's unified platform provides a seamless, connected operating environment that supports our focus on delivering a consistent, elevated experience for our fans at every event." Resource-intensive maintenance costs Verkada's unified platform gives Hard Rock Stadium's team: Faster response during high-pressure moments. Activity-based detection and intelligent alerts provide teams with greater visibility into activity across Hard Rock Stadium, enabling faster, more informed responses when needed. Proactive perimeter coverage. Advanced detection tools enable Hard Rock Stadium to take a proactive approach to monitoring the stadium's exterior and surrounding areas, flagging unusual activity before it escalates. Streamlined access across a large campus. Verkada's cloud-managed access credentials replace physical keys and disconnected badge systems. With all door events logged, Verkada's platform can flag anomalies. Flexibility across a wide range of events. In addition to the Miami Dolphins, Hard Rock Stadium hosts college football games, concerts, and other global events – and each event has a different footprint and different security needs. Verkada enables the Hard Rock Stadium team to tailor protocols event-by-event without new infrastructure. Lower infrastructure costs. Moving onto Verkada's cloud-based platform is expected to save Hard Rock Stadium on time- and resource-intensive maintenance costs, with new features delivered automatically through software updates. Insight into operational efficiency. Visual intelligence from Verkada's platform provides insight into occupancy trends that can enable operations teams to reduce bottlenecks and adjust staffing in real-time. World-class experience "Hard Rock Stadium can swing from hundreds of employees and vendors on a weekday to more than 65,000 fans in a matter of hours," said Filip Kaliszan, co-founder and CEO of Verkada. "Verkada is built to handle this kind of complexity, with one unified platform that keeps pace with an operation that never stays still. We're proud to provide solutions that help keep fans, athletes and entertainers who visit Hard Rock Stadium safe – and to give the team behind these legendary events the tools they need to keep delivering a world-class experience." Video security infrastructure Hard Rock Stadium worked with Castaway Technology and Security (CTS) to support its Verkada deployment and implementation across the campus. CTS used Verkada's Command Connector to bring Hard Rock Stadium's existing video security infrastructure into the new platform during the migration period, ensuring a smooth transition and letting security teams work from Verkada's platform from day one. "Hard Rock Stadium is a marquee venue that demands a security infrastructure to match. Our goal was to help them transition to a more agile and integrated ecosystem. With Verkada, we were able to deliver a truly end-to-end solution that eliminates technical friction, allowing the security team to focus entirely on maintaining a safe, premier experience for every fan," said Craig Bruce, co-founder at CTS.

ZeroEyes, creators of the pioneer multi-analytics weapons detection and threat intelligence platform, announces that its proactive AI gun detection and intelligent situational awareness software has been deployed by Goessel USD 411 in Kansas to help protect students, staff, and visitors from gun-related threats. Goessel USD 411 is a small rural district serving approximately 285 students and employing 75 faculty and staff members across two campuses -- an elementary school and a combined junior-senior high school. The district is strengthened by a caring and supportive community, engaged families, and a strong school board, all of which contribute to its success and commitment to student well-being. Broader community initiatives The district secured funding through the Kansas Safe and Secure Firearm Detection Grant Program, administered by the Office of the Kansas Attorney General, to purchase and implement ZeroEyes. The grant followed coordination with local law enforcement and community leaders that identified AI gun detection as a key safety priority aligned with broader community initiatives. “I was very impressed by the system’s performance during our calibration process,” said Scott Boden, Superintendent of Goessel USD 411. “The ability to accurately detect and identify a handgun from a distance exceeded our expectations and gave us added confidence in the technology’s role in helping keep our schools safe.” Intelligent situational awareness ZeroEyes’ AI gun detection and intelligent situational awareness software layers onto existing digital security cameras. If a gun is identified, images are instantly shared with the ZeroEyes Operations Center (ZOC), the industry’s only U.S.-based, fully in-house operations center staffed 24/7/365 by specially trained U.S. military and law enforcement veterans. If the threat is determined to be valid, alerts and actionable intelligence — including visual description, gun type, and last known location — are dispatched to law enforcement and school officials, often in a matter of seconds from the moment a gun is detected. Proactive detection technology Goessel USD 411 works in coordination with county law enforcement and surrounding agencies to support school safety efforts. The addition of ZeroEyes enhances this collaboration by providing earlier detection and faster communication, helping bridge the gap created by geographic distance and limited local resources. “Goessel USD 411 is taking an important step in strengthening school safety by implementing proactive detection technology,” said Mike Lahiff, CEO and co-founder of ZeroEyes. “By leveraging grant funding to bring advanced capabilities into a rural environment, the district is demonstrating a strong commitment to protecting its students and staff while preserving the close-knit culture that defines its community.”

When Brazil’s Taquari River threatens to overflow, the Municipality of Muçum no longer waits and watches—it knows. Using Hikvision’s water-level detection solution, the town gets faster, more accurate insights about the changing water levels in the river. This strengthens emergency responses and helps protect communities across the Taquari Valley. Located in Rio Grande do Sul, the southernmost state of Brazil, the Municipality of Muçum is part of a wider region that has grown up along the Taquari River which runs through this mountainous region. Following relentless rainfall in both 2023 and 2024, the region experienced flooding of historic proportions. The 2024 disaster became the largest natural calamity in the state's recorded history. More than 600,000 people were displaced and infrastructure was damaged across nearly every municipality in the region, according to a report by Médecins Sans Frontières. Extreme weather conditions For the people of Muçum and its neighbouring cities, the focus quickly shifted from reacting to floods to preparing for them more effectively. Previous approaches had relied on manual observation and physical gauges. But such solutions, as they knew only too well, are unable to provide the kind of continuous, integrated, and real-time visibility that is so vital during extreme weather conditions. Instead, they needed to find a more reliable way to monitor river conditions, improve coordination during heavy rainfall, and communicate risks to residents earlier. Specifically, the municipal council of Muçum sought a technology solution that would: Deliver accurate, real-time water-level measurements Maintain operation during severe floods Support automatic alerts and emergency communication Centralise monitoring and historical data analysis Water-level monitoring solution To support these goals, the council worked with system integrator Infosat and distributor Tecline to deploy Hikvision’s intelligent water-level monitoring solution. Hikvision’s 4 MP Water-Level Detection Network Speed Dome (DS-2DF3C400SCG-D/4G/WL40(F1)(LA)) has been installed on a bridge above the river. Combining video imaging and millimetre-wave radar technology in a single device, the solution allows operators to visually monitor river conditions while simultaneously receiving highly accurate water-level measurements in real time. Preparing nearby communities Unlike traditional gauges positioned close to the water, the radar-based system can measure water levels from distances of up to 40 meters. This elevated installation approach helps ensure continuous operation even during major floods, when conventional equipment may become submerged or damaged. The solution’s millimetre-level precision allows emergency teams to detect even small changes in water levels and receive alerts when predefined thresholds are reached. With earlier visibility into changing conditions, emergency teams gain valuable time to evaluate risks, coordinate response actions, and prepare nearby communities. Challenging lighting environments The device delivers 4 MP high-quality imaging, allowing operators to visually confirm river conditions in real time. Its 120 dB WDR (Wide Dynamic Range) technology helps maintain clear images in challenging lighting environments, while the IP67-rated housing supports reliable outdoor performance during harsh weather. The integrated 4G connectivity and low-power design also simplify deployment in critical monitoring locations. To strengthen public communication, the municipality also deployed five Hikvision Network Horn Speakers (DS-QAZ1325G1T) in higher-risk neighbourhoods. Installed in areas where floodwaters can rise quickly, the speakers broadcast evacuation warnings and emergency notifications when necessary, enabling them to reach residents rapidly and directly. Real-time monitoring The entire solution is centrally managed on HikCentral Professional. Through the platform, operators can: Monitor water-level changes in real time Manage alarms and emergency alerts Review live video feeds remotely Access historical statistics for flood analysis and planning Since the deployment, the Municipality of Muçum has reported an 80% increase in the accuracy of water-level information compared with previous manual readings. Real-time monitoring and automated alerts now help emergency teams respond more proactively while improving communication with residents during critical situations. Mateus Giovanoni Trojan, the former Mayor of Muçum, said: “The Hikvision solution brings us more reliable information and enables us to respond faster. Automatic alerts help our emergency teams act earlier and improve safety for the population.” Creating a smarter foundation The benefits also extend beyond Muçum itself. Data collected from the monitoring system helps support neighbouring municipalities across the Taquari Valley, contributing to regional preparedness efforts that affect around 100,000 residents. “For nearby communities like ours, earlier information can make a huge difference,” said Luis Maya, Emergency Coordinator for the Municipality of Lajeado. “It helps emergency teams react faster and keep people safe.” Today, Muçum’s story is no longer only about overcoming floods; it is about building resilience through technology, coordination, and preparedness. By deploying Hikvision’s AIoT (AI-powered Internet of Things) technologies, the municipality has created a smarter foundation for flood response across the Taquari Valley. As climate challenges continue to evolve, Muçum is showing how AIoT technologies can help communities respond earlier, act faster, and face the future with greater confidence.

Evolv Technologies Holdings, Inc., a security technology company pioneering AI-based solutions designed to create safer experiences, announces that Evolv Express®, the company’s people-screening system, has been selected as a security partner in Northwestern University’s new Ryan Field following a rigorous evaluation process. As Ryan Sports Development prepares to open the first NFL-type stadium in college sports, they evaluated available screening solutions before selecting Evolv Express to help deliver an elevated fan security experience. Evolv Express uses advanced sensor technology and AI to detect concealed threats and identify the location of the potential threat while allowing people to move through checkpoints at their natural walking pace. Advanced sensor technology The New Ryan Field, in the final stages of construction, will have a capacity of 35,000 fans when it opens on October 2nd with a nationally televised game. In addition to Northwestern football games, New Ryan Field will also host other athletic and community events throughout the year. The project is designed to set a new standard for the college football experience and boasts several features and innovations fitting its ambitious vision, including the Evolv Express security systems. The multi-year agreement between Evolv and Ryan Sports Development includes a variety of marketing elements and designates Evolv as Northwestern University’s “Official Fan Screening Provider.” Exceptional arrival experience “Our goal for the New Ryan Field is simple: build the best place to watch football in America,” said Pat Ryan Jr., CEO of Ryan Sports Development. “That ambition covers not only the event itself, but also the entire time that a fan is on site. We built a stadium designed to represent the future of college athletics, and so much more, and we rigorously evaluated available screening technologies and selected Evolv Express because it aligned with our goals of delivering a secure, convenient, and exceptional arrival experience.” “When an institution invests in creating what it believes will be the premier college football venue in the country, every decision matters, including the first impression fans receive when they arrive,” said John Kedzierski, President and CEO of Evolv Technology. Ambitious stadium projects “Northwestern had the opportunity to evaluate the industry’s leading screening solutions as part of this landmark project, and we are honoured that Evolv Express was selected to help deliver the elevated fan experience Ryan Field is designed to provide. It’s a testament to the strength of our technology that one of the most ambitious stadium projects in college sports chose Evolv to help welcome fans through its gates.” The New Ryan Field at Northwestern is another signature deployment on Evolv’s growing roster of higher education customers, as well as numerous stadiums, arenas, theme parks, schools, hospitals and other public spaces around the world.

Xtract One Technologies announces multiple SmartGateway deployments across California healthcare facilities, reflecting growing demand from health systems across the state ahead of the March 2027 compliance deadline for California Assembly Bill 2975. Deployments are underway at Hazel Hawkins Memorial Hospital in Hollister and Contra Costa Health in Martinez, with expected completion by mid-August, in addition to the previously reported San Mateo Health deployment. AB 2975 requires hospitals across California to implement enhanced security measures at high-traffic public entrances by March, 2027. The mandate reflects a broader recognition among healthcare administrators and state regulators that emergency departments and other public-facing hospital entrances require dedicated screening to protect staff and patients from weapons-related violence. Real procurement decisions "California health systems are making real procurement decisions right now, and the facilities selecting Xtract One are doing so because the technology fits the environment," said Peter Evans, CEO of Xtract One. "SmartGateway was built for high patient and visitor volumes, diverse populations, and clinical staff who need to focus on care. What we're seeing across Hazel Hawkins, Contra Costa Health, and San Mateo – and more broadly with healthcare systems in general – is that once an organisation sees accurate, high-throughput detection running in a real hospital environment, expanding the solution across the facility becomes an obvious next step." Divesting personal items Xtract One's presence in California healthcare predates the AB 2975 mandate. San Mateo Medical Center deployed SmartGateway at its main campus in 2025 following extensive testing of available solutions, with plans to expand to all satellite clinics. The Hazel Hawkins and Contra Costa Health deployments build on that established footprint as health systems across the state accelerate their procurement timelines ahead of the March 2027 deadline. Xtract One's SmartGateway is designed specifically for high-throughput environments with lower volumes of personal belongings. The system identifies concealed guns and knives while allowing individuals to walk through at a natural pace without divesting personal items, distinguishing it from traditional walk-through metal detectors that alert broadly on any metal object. For healthcare environments where speed and accessibility are critical to patient care, that distinction matters. Emergency department entrance The first of three initial SmartGateway systems is now operational at Hazel Hawkins Memorial Hospital's emergency department entrance, the hospital's main entrance, and the labour and delivery wing. "Our emergency department sees the most public foot traffic of any entrance we have, which makes it the right place to start," said Jorge Ramirez, Director of Emergency Management and Security at Hazel Hawkins Memorial Hospital. "Reducing the risk of violence against our staff, our patients, and our visitors is the goal behind every part of this rollout." Weapons-related incidents "This deployment gives our team the ability to screen for weapons without slowing down the emergency department or changing how patients and staff experience our facility. That balance mattered to us throughout the evaluation process," said Dale Fors, Manager of Security at Hazel Hawkins Memorial Hospital. The hospital noted that the new security measures are being implemented to meet the requirements of the state mandate rather than in response to any specific increase in weapons-related incidents at the facility. Possible security posture Contra Costa Health has also selected three SmartGateway systems for deployment across its main entrance, emergency department, and psychiatric entrance in the primary hospital facility. The deployment is driven by a clear security mandate of detecting and intercepting firearms and bladed weapons before they reach clinical environments. Contra Costa Health has prioritised detection accuracy above all other operational considerations, implementing a bag check protocol alongside SmartGateway screening at its main entrance to ensure the most thorough possible security posture across all three entry points.

Like other disciplines in the world of corporate security, executive protection is evolving from reactive to proactive. Unlike reactive bodyguards, modern executive protection professionals use a proactive approach focused on risk mitigation, advance planning, and threat intelligence to prevent incidents before they happen. What is the role of technology? We asked our Expert Panel Roundtable: How can physical security technology promote better executive protection?

At mid-year 2026, the broader economy tells a story of resilience under pressure. Conflict in the Middle East has triggered a shock to the energy supply, driving oil prices up and reigniting global inflation. However, a total downturn has been averted. Exceptional, historic levels of business investment and data centre construction are providing a firm floor for growth, offsetting cooler consumer spending and keeping labour markets fundamentally stable. But how are changing economics impacting the physical security market? We asked our Expert Panel Roundtable: How do changes in the broader economic climate impact physical security?

In the simplest terms, technology modernisation accelerates when older systems become too expensive to maintain or fail to support modern standards. Market competition pushes businesses to update their technologies to meet rising customer demands. Additionally, the rapid shift toward cloud-based infrastructures and artificial intelligence creates a fear of missing out, forcing companies to adapt or risk irrelevance. Focusing on the physical security market, we asked our Expert Panel Roundtable: What factors are accelerating technology modernisation in security?