Biometric Security

Northwave Cyber Security has been listed among the Top 100 Long-Term Growth Champions in Europe, as part of the prestigious ranking compiled by the Financial Times and Statista. The 2026 edition of Europe’s Long-Term Growth Champions recognises 300 companies across the continent that achieved the highest compound annual growth in revenue between 2014 and 2024. This decade encompassed significant global challenges, making sustained growth all the more remarkable. Northwave’s position in the top one-third of the list highlights the company’s resilience, strategic foresight, and commitment to sustainable expansion. Significant global challenges Steven Dondorp, CEO of Northwave Cyber Security, commented: “This recognition is a testament to our dedication to long-term growth and our role as a reliable security partner across Europe. It reflects the hard work of our entire team and our unwavering focus on delivering value to our clients. I’m proud of our strategic vision and our financially independent ownership.” The ranking criteria emphasised organic growth, independence, and European headquarters. Last year, Northwave placed 103rd among the 1,000 companies recognised. Northwave’s rise to the 100th position this year reflects its consistent performance and ability to adapt to market shifts. With its headquarters in the Netherlands and offices in Germany, Belgium, and Sweden, Northwave continues to grow through strategic planning and a deep understanding of evolving cyber security needs.

Northwave has received the SOC 2® Type 1 report. It's a key milestone in strengthening the trust they build with their clients. This report confirms that their security and privacy controls are thoroughly documented, designed and implemented to protect the data entrusted to us. Achieving this milestone required dedication across teams, multiple evidence cycles, and auditor reviews, and it demonstrates their commitment to operational excellence. Recognised assurance framework Earning SOC 2 Type 1 strengthens confidence in their Managed Detection & Response, Managed Security Office, and Human Risk Management services. It ensures that the clients can rely on Northwave as a secure and transparent partner, fully aligned with the highest standards of data protection. SOC 2 is an internationally recognised assurance framework developed by the AICPA. It evaluates how organisations manage data based on the Trust Services Criteria: Security, Availability, Processing Integrity, Confidentiality, and Privacy. Our Type 1 report verifies that our controls are designed effectively at a specific point in time, offering clear, independent assurance to current and future clients. This milestone sets the stage for our SOC 2 Type 2 journey. This year, users will focus on demonstrating the ongoing, consistent operation of the controls, deepening the assurance they provide as they continue to grow and innovate.

Northwave Cyber Security announces an evolution in its leadership structure as CEO Steven Dondorp hands over the day-to-day management of the organisation after more than 20 years leading the company’s operations. Dondorp will remain Chief Executive Officer and Chair of the Board, focusing on strategic guidance, governance of the Board, and ownership of the company. Daily operations will now be guided by a strengthened executive leadership team consisting of the President, CFO, and COO. Northwave’s President, Petra Oldengarm, and CFO, Sander Roosendaal, were already serving on Northwave’s board. Now, COO Kevin Jonkers has joined the board to further reinforce operational leadership. Executive leadership team Within this structure, responsibilities previously held by the CEO will be distributed across the executive team: President – business strategy and day-to-day leadership of the organisation COO – operational management and execution of daily business CFO – oversight, governance, and risk management This transition reflects Northwave’s continued growth and natural evolution of its leadership structure as the company expands its presence and services across Europe. Broader cyber security community Petra Oldengarm, President, and Kevin Jonkers, COO, who joined Northwave in September and August 2025 respectively, will represent the company externally with clients, partners, and the broader cyber security community. Steven Dondorp emphasises this transition reflects the strong leadership already present within the organisation: “Over the past two decades, Northwave has grown into a trusted cyber security partner for organisations in Europe. That success is the result of the exceptional people we have built this company with.” “I have worked closely with Petra and Kevin for many years. They bring a wealth of experience and a strong commitment to making our digital world safer. I have complete confidence in them to lead Northwave into its next phase while maintaining the professionalism and values that define our organisation. I am proud to support them and the broader leadership team as CEO and Chair of the Board.” Going forward, President Petra Oldengarm and COO Kevin Jonkers will serve as the primary contact points for external stakeholders and media.

The pace of technological progress is best described as relentless. Cyber attacks have evolved from opportunistic strikes into highly automated, intelligent campaigns that move at faster than ever. Traditional security operations centres, built for a slower and more predictable threat landscape, are struggling to keep up. This is where the AI-native Security Operations Centre (SOC) enters the scene, not as a luxury, but as a necessity. An AI-native SOC reimagines security operations from the ground up, placing artificial intelligence at the crux rather than treating it as an add-on. It shifts the burden from human analysts, trudging through alerts to intelligent systems that can reason, prioritise, and respond in real time. Reimagining security operations In this article, users will learn how an AI-native SOC works, how AI-driven SOCs use large language models to deliver stronger protection, the step-by-step process behind modern AI security operations, and the best practices for building one. Along the way, consider this: if attackers are already using AI to scale their operations, can the SOC afford to remain manual? At the heart of an AI-native SOC lies a powerful combination of machine learning, automation, and large language models. These technologies do more than accelerate workflows. They fundamentally change how security decisions are made. Simply flagging anomalies Large language models act as the cognitive layer of the SOC. They ingest vast amounts of structured and unstructured data, including logs, alerts, threat intelligence, and even analyst notes. Instead of simply flagging anomalies, they interpret context. They can correlate seemingly unrelated events, explain why something is suspicious, and recommend actions in plain language. It’s helpful to imagine an analyst reviewing hundreds of alerts across endpoints, networks, and cloud environments. Now imagine an AI system that not only filters out noise but also explains that a sequence of login attempts, file access patterns, and outbound connections resembles a known attack chain. The system is not simply creating alerts, but entire narratives. This capability transforms the SOC from reactive monitoring to proactive defence. AI is complementary to analysts, working to amplify them, turning them into decision-makers rather than data processors. An AI-native SOC operates like a finely tuned orchestra, where each component plays its part in harmony. Let us walk through how this system functions in practice. Standardising data formats Step 1: Data Ingestion and Normalisation Everything begins with data. Logs from endpoints, network devices, cloud services, identity systems, and applications flow into the SOC continuously. In traditional environments, this data often remains fragmented. In an AI-native SOC, it is centralised and normalised. AI models help standardise data formats and enrich them with context. For instance, an IP address is not just an address. It becomes a known entity with reputation, geolocation, and behavioural history. This leads one to question how many critical signals are currently buried in their data, simply because they cannot be connected. Large language models Step 2: Intelligent Detection and Correlation Once the data is prepared, AI-driven detection engines analyse it in real time. Instead of relying solely on static rules or signatures, these systems use behavioural analytics and anomaly detection. Large language models enhance this layer by correlating events across multiple domains. A failed login attempt might seem harmless. Combine it with unusual file access and privilege escalation, and a more sinister picture emerges. Step 2 is where the SOC begins to think rather than just see. Step 3: Contextual Investigation In a traditional SOC, investigation can take hours or even days. Analysts must manually gather evidence, cross-reference logs, and build a timeline of events. An AI-native SOC compresses this process dramatically. LLMs can automatically generate incident summaries, map attack paths, and highlight affected assets. They provide a narrative that explains what happened, how it happened, and what it means. This capability is akin to having a seasoned analyst who never tires, never misses a detail, and works at extraordinary speed. Multi-factor authentication challenges Step 4: Automated Response and Orchestration Detection without response is like spotting a fire but refusing to act. AI-native SOCs integrate with orchestration tools to automate responses. When a threat is confirmed, the system can isolate endpoints, revoke access, block malicious IPs, or trigger multi-factor authentication challenges. These actions occur within seconds, not hours. Crucially, AI ensures that responses are proportionate and context-aware. It avoids the blunt-force approach of shutting down systems unnecessarily. Step 5: Continuous Learning and Adaptation Cyber threats evolve constantly, and so must the SOC. AI-native systems learn from every incident, every alert, and every response. Machine learning models refine their detection capabilities over time. LLMs improve their understanding of organisational context, making future analyses more accurate and relevant. This creates a feedback loop where the SOC becomes more effective with each passing day; growing, adapting, and maturing. Event management systems Behind the scenes, several technologies work together to enable this intelligent ecosystem. Security information and event management systems still play a role, but they are no longer the centre piece. Instead, they act as data pipelines feeding into more advanced platforms. Extended detection and response tools provide visibility across endpoints, networks, and cloud environments. Security orchestration, automation, and response platforms handle automated actions. Overlaying all of this are AI and machine learning engines, with large language models acting as the interpretive layer. Threat intelligence platforms enrich data with external insights, ensuring that the SOC is not operating in isolation. Effective security operations Think of it as a living system rather than a collection of tools. Each component contributes to a unified objective: faster, smarter, and more effective security operations. Creating an AI-native SOC requires a shift in mindset, strategy, and operations. Start with data quality. AI systems are only as good as the data they consume. Ensure that your telemetry is comprehensive, accurate, and well-structured. Next, prioritise integration. Disconnected tools create blind spots. An AI-native SOC thrives on interconnected systems that share data seamlessly. Invest in explainability. AI decisions must be transparent and understandable. Analysts need to trust the system, and that trust comes from clear reasoning and visibility into how conclusions are reached. Critical decisions and strategic direction Balance automation with oversight. While AI can handle many tasks autonomously, human expertise remains essential for critical decisions and strategic direction. Finally, focus on continuous improvement. Treat the SOC as an evolving capability. Regularly assess performance, update models, and refine processes. Consider and evaluate whether users are building a SOC for today’s threats, or for the threats that will emerge tomorrow. The modern threat landscape demands more than incremental improvements. It calls for a fundamental transformation in how security operations are designed and executed. An AI-native SOC delivers this transformation by combining automation, intelligence, and adaptability. It reduces noise, accelerates response, and empowers analysts to focus on what truly matters. Future of security operations In this article, they explored how AI-driven SOCs use large language models to interpret and act on data, the step-by-step process that underpins their operation, the tools that make them possible, and the best practices for building one effectively. The question now is not whether AI will shape the future of security operations. It already is. The real question is whether the organisation is ready to embrace it. If users are looking to elevate the SOC capabilities and stay ahead of increasingly sophisticated threats, now is the time to act. Explore how Rewterz experts can help users design and implement an AI-native SOC tailored to your organisation’s needs. The future of security is intelligent, adaptive, and already within reach.

Codelocks International Ltd, the global access control specialist, launches ConnectShare, a new range of smart locks that use mobile phones to make access and management easy. Part of the Connect by Codelocks solutions, these latest locks build on the success of Codelocks’ existing range of connected locks, adding several new features and enhanced connectivity. ConnectShare locks have three access modes – user code, RFID card and mobile phone. They are managed through the easy-to-use Codelocks Connect App, which allows complete remote management of the locks from a mobile device. Simple standalone lock “One of the standout features of this release is the mobile phone access sharing,” said Joanne Milne-Rowe, Managing Director at Codelocks International Ltd. “Administrators can send a time-bound credential directly to a user's phone, give them access to a lock, and revoke it at any time. The process is entirely device-to-device, with no hidden subscription fees like other products often have, and with no reliance on an internet connection at the lock itself. Users simply download the free app, and admins can remotely give them access with a few simple clicks.” “The Codelocks Connect App is central to the products too. Deep down, this is a simple standalone lock that’s easy to install and maintain. But paired with our app, it becomes the flexible and powerful solution that modern shared spaces need.” Time-sensitive codes Key features that can be enabled using the app include Codelocks NetCode® Technology for generating date and time-sensitive codes, GuestCode functionality that lets guests and temporary users set their own access code for the duration of their stay, and Do Not Disturb mode, which gives occupants privacy control – ideal for private spaces and changing rooms. The new features also include Multi-Admin functionality, which allows operators to assign shared management of individual locks, and Dual Authorisation, which adds an extra layer of protection for higher-security applications by requiring two valid credentials to be presented to unlock. ConnectShare locks introduce an activity log, a first for the Connect by Codelocks range of products. Unlike many other standalone locks, ConnectShare can log who has accessed a door and when, making it well suited to regulated environments in which sensitive materials or data may be present. Independent fire testing "We spent a lot of time listening to customers during the development of ConnectShare, and making sure what we built reflected what they actually asked for,” said Joanne Milne-Rowe. “It's backed by the same award-winning customer and technical support Codelocks is known for, so people aren't just getting a product; they're getting a service too." ConnectShare locks are available now: the CL4500CC, a medium-duty option with latch and mortice configurations, and the CL5500CC, a heavy-duty option supporting latch, lock and panic access. Both are available in Brushed Steel, with Solid Black also offered on the CL5500CC. ConnectShare locks have completed independent fire testing to BS EN 1634-1 for 30-minute and 60-minute timber door sets when installed with a Codelocks FireKit and performance testing to BS EN 12209.

Gunnebo Group has been awarded an EcoVadis Silver Medal, recognising global progress in strengthening sustainability performance across its operations, whole value chain and business operations. EcoVadis is one of the world's most widely recognised independent business sustainability assessment platforms, evaluating organisations across four key areas: environment, labour and human rights, ethics, and sustainable procurement. Formalise sustainability commitments The recognition reflects a focused programme of work undertaken across Gunnebo Group to strengthen governance, formalise sustainability commitments and further embed responsible business practices throughout the organisation. Efforts have centred on developing a more comprehensive policy framework, providing clearer foundations for how sustainability is managed and supporting greater consistency across the group business. Says Per Hökfelt, Group Sustainability Director at Gunnebo Group: "This EcoVadis recognition reflects the work taking place across the Group to strengthen governance, improve transparency and embed more consistent processes for responsible business. It also reflects our commitment to taking a structured, long-term approach to sustainability, with continuous improvement and collaboration helping to integrate sustainability considerations into decision-making across the complete business." Supply chain activities Gunnebo's participation in the United Nations Global Compact has reinforced its commitment to internationally recognised principles covering human rights, labour, environmental responsibility and anti-corruption. The initiative supports the Group's broader approach to responsible business conduct and contributes to greater transparency and accountability. Further progress has been made in responsible supply chain management, with Gunnebo strengthening supplier assessment processes and its approach to evaluating sustainability-related risks. This is helping to integrate environmental, social and ethical considerations more effectively into procurement and supply chain activities. Social and ethical considerations This wider approach to ESG performance includes a Living Wage analysis across the organisation, using independent Living Wage benchmarks from the WageIndicator Foundation. Alongside strengthened responsible sourcing and supplier assessment, this provides greater insight into the social and ethical considerations that underpin Gunnebo's approach to responsible business. Per concludes: "Sustainability expectations continue to increase across industries, supply chains and stakeholder groups. Maintaining a strong governance framework and a clear approach to responsible business practices remains essential to meeting these expectations. This recognition acknowledges the progress achieved across Gunnebo Group and provides a strong platform for continued development to achieve Gold. We remain focused on further strengthening sustainability performance and embedding responsible business practices throughout the organisation as part of our long-term strategy."

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.

After a major refurbishment, Benghazi Children's Hospital in Libya is preparing to deliver a safer, more connected, and more efficient healthcare experience. By adopting Hikvision's AIoT (AI-powered Internet of Things) technologies, the hospital is enhancing patient care, strengthening communication, supporting medical education, and improving operational efficiency throughout the facility. For more than four decades, Benghazi Children's Hospital has served local communities and families. Covering approximately 11,300 m², the hospital supports a wide range of inpatient and outpatient services. Its recent refurbishment—the first in over 40 years—was more than a maintenance project. The hospital set ambitious goals to modernise the environment, aiming for an 80% improvement in patient satisfaction, response times, and interdepartmental communication. Smart healthcare solution To support these objectives, the hospital has been working with the national distributor Al Motaheda to deploy an integrated Hikvision smart healthcare solution spanning patient communication, medical education, and fire protection. When a patient needs help, every second matters. To help caregivers respond quickly and efficiently, Benghazi Children's Hospital has deployed Hikvision's Nurse Call System across its two inpatient departments: the Observation Department and the Gastroenteritis Department. At 11 ward entrances, Doorway Terminals and LED indicators have been installed. Now, when a patient calls, room number and bed information will immediately appear in the corridor, helping nursing staff identify where assistance is needed. Delivering routine announcements A Nurse Station has been located between the two departments. From a single point, staff will be able to receive, prioritise, and respond to requests from all 11 wards, helping improve efficiency while ensuring patients receive timely attention. Beyond the nurse call system, the hospital also wants to strengthen communication between departments. 40 SIP Phones have been installed across examination rooms, operating rooms, labs, and offices, to keep every department connected for day-to-day coordination. 37 Ceiling Speakers will deliver routine announcements, visitor guidance, and emergency notifications. 26 Ceiling Access Points will provide hospital-wide wireless connectivity, supporting staff communications, connected devices, and future digital healthcare applications. Improving patient satisfaction Together, these systems have are creating a more connected healthcare environment where information reaches the right people at the right time. Hospital management expects the solution to play a key role in improving patient satisfaction while significantly reducing response times once the facility becomes fully operational. As a teaching hospital, Benghazi Children's Hospital also places strong emphasis on clinical education. However, limited space inside operating rooms can make it difficult for large groups of students to observe procedures firsthand. To address this challenge, the hospital has deployed a Live Surgery Broadcasting System built around the Hikvision Video Cart. Dedicated training hall This is a mobile unit that can be moved between all four operating rooms as needed. With appropriate patient consent and in accordance with hospital policies, it captures high-quality video and audio that can be transmitted live to a dedicated training hall. This will allow more medical students to observe operations without disrupting clinical activities or overcrowding operating rooms. In addition to live viewing, surgical procedures can – again, with consent – be recorded and stored for future training purposes. This will enable educators to build a growing library of teaching materials while giving more students access to practical clinical learning experiences. Centralised emergency management Fire safety has also been addressed by installing a comprehensive Hikvision fire protection solution. The system enables early fire detection, rapid alert distribution, and centralised emergency management. 203 Smoke Detectors cover every area of the building, from operating rooms to waiting areas to staff rooms. 24 Audible and Visual Alarms, and Manual Call Points have been placed at the ends of corridors and near all exits, where people moving toward evacuation routes will find them. A Fire Alarm Control Panel at the main reception provides centralised monitoring and control. A microphone at the same location will allow staff to broadcast live evacuation instructions to the entire hospital should it be needed. Effective medical education Together, these capabilities help ensure faster response during emergencies while supporting a safer environment for patients, visitors, and staff. Although the hospital has not yet officially opened following its refurbishment, feedback from hospital management and medical staff has been highly positive. As Taha Grgom, Project Manager at the Hospital put it: "The nurse call system will help us respond to patients more quickly, while the live surgery broadcasting system will open new possibilities for medical education. Together, these technologies are helping us build a more connected and efficient hospital." As Benghazi Children's Hospital prepares to welcome its first patients, it stands as a powerful example of how AIoT technologies can support better care, stronger collaboration, safer operations, and more effective medical education. More importantly, it shows what Tech for Good can mean in practice—using technology to make a meaningful difference where it matters most and help every child receive the care they deserve.

Bournemouth and Poole College, the largest provider of further education and apprenticeships in the Dorset area, has installed Hochiki's ESP addressable fire detection range across its four-storey site, protecting a diverse mix of teaching environments including IT suites, kitchens, workshops and engineering bays. The installation was specified and delivered by SFA Fire and Security, working closely with the college to design a system capable of handling the varied fire risks found across further education provision. Subjects such as catering, automotive maintenance, construction and engineering carry a higher risk of nuisance alarms from dust and fumes, while IT and digital media spaces rely heavily on electrical equipment. A tailored approach was needed to protect the site without interrupting learning. Protecting valuable teaching time ESP's common mounting base allowed SFA's installers to work through the site using a single standard base across most devices, reducing the range of parts held on site and helping installation stay on schedule despite the complexity of the building. In kitchens and workshops, LPCB and VdS approved heat sensors were used to distinguish genuine fire risk from cooking activity and dust, reducing false alarms and protecting valuable teaching time. ESP's textual identifier gives staff the exact location of an activated device, supporting fast and accurate evacuation decisions in a large site with high footfall. Wall-mounted VADs, certified to EN 54-23, added audio and visual alerts throughout the college, ensuring alarms reach staff and students regardless of location or impairment. Where cabling access was limited by drop beams, wireless technology was integrated onto the ESP loop, avoiding extensive drilling and preserving the building's original structure. Successful projects together Naomi Fell, Projects Director at SFA Fire and Security, said: "This project presented numerous challenges due to the complexity of each room and storey within the college. Our extensive experience with Hochiki's products, combined with the consistently positive feedback from our end-users, made Hochiki the clear choice for this project. We met the college's stringent deadlines with minimal disruption to teaching and learning." Ryan Baulcomb, Regional Sales Manager at Hochiki, added: "Hochiki and SFA have a strong, long-term partnership, built on years of successful projects together. This installation shows what that partnership can deliver on a genuinely complex site. We're proud that our products continue to give installers and end-users the reliability and support they expect." Bournemouth and Poole College now benefit from a fire detection system tailored to the specific demands of each corridor, room and storey across the site, with the flexibility to adapt as the college continues to grow.

In a move to modernise campus operations and create a smoother experience for students and staff, Peru’s National Agrarian University has deployed a comprehensive Hikvision smart campus solution. From streamlined access to safer transportation, the university is building a safer, connected and efficient campus environment. Universidad Nacional Agraria La Molina (National Agrarian University) is one of Peru's most respected academic institutions. Its 102-hectare campus operates more like a small city than a traditional university, serving eight faculties, around 8,000 students, and about 600 teachers every day. Campus bus operations As campus activity continued to grow, the university wanted a more modern and efficient way to manage daily operations. Previously, visitor and vehicle access relied heavily on manual checks and handwritten records. The university also wanted better visibility over campus bus operations and more effective support for security teams patrolling the large campus area. Their goals included: Streamlining pedestrian and vehicle access Equipping patrol teams with mobile tools to enable them to respond to incidents faster Enhancing safety and visibility across campus bus operations Centralising management through a single unified platform To achieve these, the university worked with system integrator Consorcio Valtar Security y Serinfortel to deploy a unified Hikvision smart campus solution. Anti-tailgating functions To improve pedestrian access, the university installed 18 Hikvision Pro Swing Barriers (DS-K3B530X) and 28 Face Recognition Terminals (DS-K5671-ZV) at the main and side entrances. The solution helps students and staff move through gates quickly while improving entry management. The facial recognition terminals support recognition speeds of less than 0.2 seconds per user and accuracy rates above 99%. Anti-tailgating functions, which prevent people slipping in behind others, helps ensure only authorised individuals can enter. LED indicators, meanwhile, provide visual indicators guide people through the turnstiles in order to avoid bottlenecks. To further streamline visitor handling, the university deployed a Visitor Terminal (DS-K5032-D) together with an Enrolments Station (DS-K1F600U-D6E-F) at the main entrance. The dual-screen visitor terminal supports paperless registration, helping security staff process guests more efficiently while reducing manual paperwork. At the same time, the enrolment station simplifies face enrolment and user management through an easy-to-use touch-screen interface. Anti-hitting protection mechanisms For vehicle access, Hikvision deployed 6 ANPR Cameras (DS-TCG406-E(S)) together with 6 Barrier Gates (DS-TMG520-H/B) at two campus entrances. The system automatically recognises license plates and manages vehicle access in real time, helping reduce waiting times and improve traffic flow. Staff vehicles can be pre-registered through the university’s app, allowing smoother entry during peak hours. Adjustable barrier speeds and multiple anti-hitting protection mechanisms also help improve operational safety. To further improve the driver experience, LED Screens (DS-TVL224-4-5Y) display welcome messages and vehicle information in real time. Because of the campus’s large size, motorcycle patrol teams play an important role in maintaining daily operations and responding quickly across different areas. To support these teams, the university has deployed 10 Hikvision Ultra Series Body Cameras (DS-MH2311) together with 2 Dock Stations (DS-MDS001). Several features make this solution particularly suitable for mobile patrol work: Clear 2 MP video recording with a wide 129° horizontal field of view Up to 8 hours of recording with a removable 3,300 mAh battery Wireless connectivity for improved communication Real-time positioning support through GPS Centralised charging, storage, and evidence upload through dock stations Professional campus operations The cameras are mainly used during routine motorcycle patrols and when responding to incidents on campus. Recorded footage helps clearly document security procedures and provides reliable records of how situations were handled, supporting transparent and professional campus operations. The university has also upgraded safety across its fleet of 11 campus buses with Hikvision onboard solutions. Each bus is equipped with: Mobile Dome Cameras (DS-2XM6726G1-IM/ND) and Mobile Network Cameras (DS-2XM6522G1-ID): These provide real-time HD video coverage inside and outside the buses, helping operators monitor passenger boarding, alighting, and road conditions clearly. DSM Camera (AE-VC1B1I-ISF(RJ45)): This improves driving safety by detecting critical safety indicators such as fatigue, distractions, and smoking. When potential risks are identified, alerts are immediately issued to the driver, helping encourage safer driving practices during daily routes. Touch Monitor (AE-MW1203): Drivers can view live camera feeds through the monitor. The display automatically switches to relevant views when doors open or when reversing, helping drivers monitor passenger movement and blind spots more effectively. Alarm Button (DS-1530HMI(AE)(O-NEU)): It allows drivers to immediately notify the control center for rapid assistance in emergency situations. Mobile NVR (AE-MN5043(1T/SSD)(RJ45)(O-STD)): This records and stores video while also supporting GPS positioning, geofencing, and route monitoring through Google Maps integration. Campus bus management Every solution, from access control and patrol operations to campus bus management, is centrally managed through HikCentral Professional. From this single platform, the university can: Monitor access events in real time Manage user permissions and visitor records Track campus buses through GIS-based maps Receive centralised alarms and event notifications Coordinate faster responses across campus According to the university, the solution has significantly improved operational visibility and coordination across the campus. “With Hikvision’s smart campus solution, we now have a much more efficient and connected way to manage daily campus operations,” says Joseph Jimy Ordóñez Blanco, General Coordinator of the University’s Security Unit. “From access management to transportation safety, the platform gives our teams better visibility, faster response capabilities, and greater confidence in maintaining a safe environment for students and staff.”

Security requirements for critical infrastructure are changing rapidly. Recent events, such as the discovery of a drone at Leipzig Airport, have once again demonstrated how quickly modern technologies can become a security challenge. This makes dialogue between industry, authorities and emergency services all the more important. Security Essen, which will take place at Messe Essen from 22 to 25 September 2026, is placing precisely this exchange at the heart of two key programme highlights: the European Drone Conference and the Emergency Services Forum. Unmanned aerial systems open up a wide range of potential applications – from inspecting critical infrastructure to supporting security and emergency services. Protection of critical infrastructure At the same time, they present new challenges for operators of sensitive facilities. The European Drone Conference on 23 and 24 September will therefore bring together experts from the security industry, public authorities, academia and politics to discuss current developments, the regulatory framework and effective protection strategies. The conference is organised by the Drone Expert Committee of the German Security Industry Association (BDSW), together with Security Essen and the Confederation of European Security Services (CoESS). Experts discuss drone deployment, detection and countermeasures Around 20 specialist presentations will examine drone technology from various perspectives – ranging from regulatory issues and the protection of critical infrastructure to detection and counter-drone systems. Managing new risks In his statement, Cornelius Toussaint, Vice-President of the BDSW and Chair of the Drone Expert Committee, will focus on security and drone technology in Germany. Marcus Schermann (DB Sicherheit GmbH) will discuss the protection of critical infrastructure, using multicopter operations as an example. Drone management, with a particular focus on detection and countermeasures, is the main theme addressed by the two speakers, Ralf Holstein and André Danner (German Business Protection GmbH). The programme is complemented by presentations on research and development, as well as international keynote speeches from the worlds of politics and the security industry. The central question is how to capitalise on the opportunities offered by the technology whilst effectively managing new risks. Public safety authorities Emergency Services Forum (Blaulichtforum) takes place for the first time In collaboration with Feuerwehr-Magazin (Fire & Rescue Magazine) and Rettungs-Magazin (Emergency Medical Services Magazine), the Emergency Services Forum 2026 will make its debut at Security Essen. On 22 September, the new forum will bring together public safety authorities and organisations (BOS), the security industry and public authorities, focusing on a key question: How are new threat scenarios and technologies changing security and emergency response? On stage, experts from the fire service, police, civil protection, the security industry and defence will discuss current challenges: What role will drones and autonomous systems play in future operations? Shared situational picture How well is Germany prepared for CBRNE incidents and hybrid threats? And how do control centres, communication technologies and networked systems ensure that a shared situational picture emerges in an emergency? The focus will also be on cooperation between civilian and military actors. Specialist conferences included in the trade fair admission ticket Both the European Drone Conference and the Emergency Services Forum will take place directly in Hall 5. Admission is already included in the Security Essen trade fair ticket. Tickets for Security Essen 2026 are available online. A day ticket costs €49. The trade fair is open from 9 am to 6 pm from Tuesday to Thursday and from 9 am to 4 pm on Friday.

ZeroEyes, creators of the multi-analytics weapons detection and threat intelligence platform, announces that its proactive AI gun detection and intelligent situational awareness software has been renewed by Central Valley School District in Beaver County, Pennsylvania after a successful first year of deployment. Serving four schools across Beaver County, Pennsylvania, including a primary center, elementary school, middle school, and high school, the district supports approximately 2,200 students and 200 faculty and staff. ZeroEyes has been integrated across all facilities as part of the district’s commitment to maintaining a safe, secure, and welcoming learning environment. Welcoming learning environment “The safety of our students and staff will always be our top priority,” said Brian Dolph, Safety & Security Director for the Central Valley School District. “By implementing ZeroEyes technology, Central Valley School District is taking a proactive step to enhance campus security and provide real-time detection of potential firearm threats, helping ensure that our schools remain safe places for teaching, learning, and growth. ZeroEyes has been a valued partner, delivering continuous monitoring and an added level of assurance in our campus security efforts.” Central Valley School District’s deployment is part of a broader, layered approach to safety that includes closed-circuit cameras, a visitor management system, ALICE-trained staff, regular district-wide safety drills, and school resource officers in all buildings. The district also conducts coordinated active shooter drills each summer in partnership with Beaver County Emergency Services and works closely with local communities, including Monaca Borough and Central Township, to support campus safety efforts. Situational awareness software 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 centre 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. “Central Valley School District has taken a thoughtful and proactive approach to campus safety,” said Mike Lahiff, CEO and co-founder of ZeroEyes. “By continuing to invest in real-time intelligence and working closely with trusted partners, the district is strengthening its ability to respond quickly to potential threats while maintaining a safe and supportive learning environment.”

Milestone Systems, a provider of open platform video management software (VMS), is helping Resorts World Las Vegas (RWLV) bring together security operations, investigations, gaming compliance, and operational intelligence through an open platform video ecosystem built on Milestone XProtect VMS. Located on the iconic Las Vegas Strip, Resorts World Las Vegas is one of the newest and most technologically advanced resorts in the United States. Opened in 2021, the $4.3 billion property spans 88 acres and includes multiple hotel brands, a large casino floor, entertainment venues, retail spaces, and dining experiences that collectively attract thousands of guests each day. Diverse set of technologies Managing safety, compliance, and operational efficiency at this scale requires highly reliable and flexible video technology capable of supporting thousands of cameras and multiple specialised applications. Milestone XProtect VMS serves as the backbone that connects approximately 5,800 cameras and multiple best-of-breed technologies. The open architecture enables Resorts World to integrate a diverse set of technologies that support gaming surveillance, fraud detection, forensic investigations, business intelligence, and operational analytics while allowing operators to work from a consistent interface. "We rely on the system every day to investigate fraud, theft, and any activity that could result in a loss. It gives us the visibility we need to quickly understand what happened and take action," said Lindsay Dever, CFE, Assistant Director of Fraud & Nightclub Surveillance, Resorts World Las Vegas. Supporting regulatory requirements The full security system integrates camera technologies from Axis Communications, Bosch, and Hanwha Vision, while BriefCam supports forensic video review, people counting, and heat mapping. Oosto provides facial recognition capabilities, Aeyesky supports card-counting and cheating detection, and AXIS Case Insight helps analyse foot traffic and customer behavior. “Large, dynamic environments like Resorts World Las Vegas require technology that can adapt to multiple operational needs without adding complexity,” said Tim Palmquist, VP Americas, Milestone Systems. “An open platform approach allows this Las Vegas casino resort to bring together best-of-breed technologies into a single ecosystem, enabling teams to improve investigations, support regulatory requirements, and generate operational insights that extend well beyond traditional security.” Time-sensitive investigations Resorts World Las Vegas is able to respond to incidents more quickly, conduct investigations more efficiently, and support law enforcement with speed and confidence. The impact is particularly evident during time-sensitive investigations. Looking ahead, the resort plans to expand its use of AI-driven capabilities, including enhanced people counting, behavioural analytics, and tools that can better track guest movement across the property. Future enhancements will also focus on streamlining operator workflows and creating a more proactive approach to investigations.

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?