The security industry is experiencing a major transformation as organisations shift from conventional video surveillance towards AI-driven visual intelligence.
This evolution is driven by an increasing demand for proactive security measures that not only document incidents but aim to prevent them in real-time. Traditional video surveillance systems, once regarded primarily as passive tools for recording, are now evolving into intelligent systems capable of providing actionable insights. As a result, surveillance is transitioning from merely capturing evidence post-incident to a strategic tool for active protection.
Delivering actionable insights
This transformation is propelling notable market growth. Research from Markets and Markets projects that the global commercial security market will reach $381 billion by 2030, largely fuelled by the adoption of AI-enabled proactive monitoring technologies.
SIA estimates there are 150 million cameras currently functioning as reactive devices
The Security Industry Association (SIA) estimates there are 150 million cameras currently functioning as reactive devices with minimal intelligence, signifying a massive opportunity to enhance existing systems with AI-driven proactive technology. Wes Usie, president of CHeKT, emphasised, "Businesses are realising that traditional surveillance creates operational blind spots, leaving room for missed threats, response delays, and costly false alarms."
Next-generation platforms
The increased emphasis on artificial intelligence and predictive analytics is a fundamental factor in this shift. AI, coupled with predictive data analytics, is crucial for next-generation security platforms, allowing systems to differentiate between genuine threats and non-threatening activities, thereby enhancing response times and operational efficiency.
The sector is also gravitating towards Software-as-a-Service (SaaS) models. This approach uses cloud-based, camera-agnostic AI platforms to layer advanced analytics on existing infrastructure, enabling system modernisation without costly hardware upgrades. It allows integrators to provide high-margin, long-term managed services that benefit from continuous updates.
Limitations of human monitoring
Challenges with traditional security models are accelerating the shift towards AI solutions
Challenges with traditional security models are accelerating the shift towards AI solutions. According to Parks Associates, more than half of security users suffer at least one false alarm, with 10 percent encountering five or more, putting the onus on municipal authorities to mandate verified alarms prior to dispatch.
IEEE studies reveal that human monitoring is inefficient, with personnel missing up to 60 percent of events when overseeing multiple screens. These inefficiencies lead to widespread customer dissatisfaction, as 35 percent of users cite false alarms and unreliability as key reasons for discontinuing services.
Providing meaningful notifications
CHeKT's President, Wes Usie, stated, "The traditional model creates alert fatigue, delayed response, and unnecessary costs."
The industry's challenges are reshaping expectations, particularly in residential markets, where consumers demand "video-first" solutions offering reliable, real-time alerts and active deterrence without false alarms. The SIA 2025 Security Megatrends report highlights that 42 percent of security dealers now include video verification as a core service to meet these demands.
Visual intelligence platforms
CHeKT is spearheading this transformation with its proactive visual security platform
In the commercial sector, security investments are no longer viewed as mere expenses but as avenues for delivering measurable returns. Businesses are seeking comprehensive visual intelligence platforms that extend beyond safety, offering operational insights and compliance support.
By harnessing AI-driven analytics and real-time verification, organisations can accurately identify threats, minimise false alarms, and streamline rapid responses, ultimately enhancing security while providing quantifiable business advantages.
CHeKT is spearheading this transformation with its proactive visual security platform that revolutionises security monitoring and management. Integrating real-time video verification with cutting-edge analytics and a network of monitoring partners, CHeKT offers security teams the capability to detect, verify, and address incidents as they occur, often preemptively.
The security industry is undergoing a fundamental transformation as organisations move beyond traditional video surveillance toward AI-driven “visual intelligence.” This shift reflects a growing demand for proactive, real-time security solutions that not only capture incidents but help prevent them.
Once viewed primarily as passive recording tools, traditional video surveillance systems are rapidly evolving into intelligent solutions capable of delivering actionable insights. As a result, surveillance is no longer just about capturing evidence after the fact. It is becoming a strategic tool to actively protect people, assets, and operations.
Delivering actionable insights
This transformation is fuelling significant market growth. According to Markets and Markets, the global commercial security market is projected to reach $381 billion by 2030, driven largely by the adoption of AI-powered, proactive monitoring technologies. With an estimated 150 million installed cameras still operating as simple, reactive devices containing little to no intelligence, according to the Security Industry Association (SIA), there is a significant opportunity to upgrade the existing infrastructure to adopt AI powered proactive monitoring technology.
“Businesses are realising that traditional surveillance creates operational blind spots, leaving room for missed threats, response delays, and costly false alarms,” said Wes Usie, president of CHeKT. “Security is no longer about watching video. It’s about understanding what’s happening in real time and taking action.”
Next-generation platforms
A key driver behind this shift is the increasing focus on artificial intelligence and predictive analytics. AI is now the primary area of research and development investment for security solution providers, with predictive data analytics widely viewed as a critical component of next-generation platforms. These technologies enable systems to distinguish between real threats and harmless activity, dramatically improving response times and operational efficiency.
The industry is also moving toward a Software-as-a-Service (SaaS) model, where cloud-based, camera-agnostic AI platforms layer advanced analytics onto existing infrastructure. This approach allows organisations to modernise their security systems without costly hardware replacements, while enabling integrators to deliver high-margin, long-term managed services with continuous updates and improvements.
Limitation of human monitoring
At the same time, growing challenges with traditional security models are accelerating the need for change. False alarms, for example, have reached a tipping point. More than half of security users report experiencing at least one false alarm and 10 percent report five or more, according to Parks Associates. These excessive alerts are overwhelming law enforcement agencies, prompting many municipalities to require verified alarms before dispatch and imposing fines of up to $400 for repeated false alarms.
Compounding the issue is the limitation of human monitoring. An IEEE study shows that when operators monitor multiple screens, up to 60 percent of events can be missed, highlighting the inefficiency of labour-intensive surveillance models. These gaps contribute to widespread dissatisfaction, with 35 percent of customers citing false alarms and system unreliability as key reasons for dissatisfaction or cancelling services, according to Parks Associates.
Providing meaningful notifications
“The traditional model creates alert fatigue, delayed response, and unnecessary costs,” added Usie. “When critical events are missed or misinterpreted, the consequences can be severe.”
These challenges are reshaping expectations across both the residential and commercial markets. Residential customers are increasingly seeking “video-first” solutions that deliver reliable, real-time alerts and active deterrence. They expect systems to automatically filter out false alarms and provide meaningful notifications, not noise. In response, 42 percent of security dealers now offer video verification as a core service, according to the SIA 2025 Security Megatrends report.
Visual intelligence platforms
Meanwhile, commercial and enterprise organisations are redefining how they view security investments. No longer considered a sunk cost, security is now expected to deliver a measurable return on investment. Businesses are demanding multi-purpose visual intelligence platforms that go beyond safety to provide operational insights, support compliance, and optimise logistics.
Proactive visual security offers a path forward. By leveraging AI-driven analytics and real-time verification, organisations can identify threats earlier, reduce false alarms, and enable faster, more effective responses. This not only strengthens protection but also delivers tangible business value.
CHeKT is at the forefront of this evolution, delivering a proactive visual security platform with intelligence that transforms how security is monitored and managed. By combining real-time video verification with advanced analytics and a network of monitoring partners, CHeKT enables security teams to detect, verify, and respond to incidents as they happen and often before they escalate.
