Blog

Why Security Analytics Matter Now More Than Ever

Scott Krupinski
Head of Solution Design & Technology
Published: August 2025

 

Last week, while reviewing security footage with a client, I was shown an example of their new AI-powered security system in action. The recording demonstrated how the system had identified a potential pickpocket before they made their move. The AI had analysed the person's behaviour patterns - their movement through the space, where they positioned themselves relative to other people, and how they tracked potential targets - and flagged them as suspicious. Security was alerted and able to intervene discreetly before the attempted theft occurred. What struck me about this example wasn't just the successful prevention, but the underlying capability: this machine had learned from thousands of hours of footage, developing the ability to recognise subtle behavioural cues and predict criminal intent in real-time.

That moment crystallised something I've been thinking about recently in the UK security industry. We're not just witnessing an upgrade in surveillance technology, but a fundamental transformation from systems that passively watch to those that actively understand and respond.

The Problem: When More Cameras Don't Mean More Security

UK organisations face exponentially increasing security challenges that traditional surveillance can't handle. The British Security Industry Authority (BSIA) reported that there are approximately 7.5 million cameras in the UK, averaging one camera for every eleven people. But here's the reality check: More cameras aren't solving the problem. In 2024, UK retailers reported 20.4 million shoplifting incidents, costing businesses £2 billion.

Despite all these cameras, crime is rising. Traditional CCTV systems are essentially digital filing cabinets; they record everything and store it for later review after something has gone wrong. Security teams are overwhelmed by data, missing critical incidents because they're flooded with false alarms and irrelevant footage. Control room operators can monitor around 20-30 camera feeds simultaneously, making it impossible to catch everything in real-time.

The Solution: From Recording to Reasoning

What I observed when reviewing that security footage last week exemplifies the solution: intelligent security systems don't just observe but understand. These AI-powered platforms represent a complete shift from reactive to proactive security.

Let me explain what makes these systems so different. They offer real-time detection where AI analytics trigger alerts within seconds of identifying a threat. I've seen systems that can detect suspicious behaviour patterns, like someone casing a location or hiding merchandise before any crime happens. They integrate all your security systems, connecting CCTV, access control, alarms, and sensors into one unified intelligence platform. Additionally, they use predictive analytics, learning from thousands of hours of footage to recognise normal behaviour, then alerting to any deviations from those patterns.

How does it work?

Advanced correlation platforms filter vast information streams, suppressing irrelevant data while highlighting critical events. When an intruder alarm triggers, intelligent analytics automatically review the relevant CCTV footage. If movement matches human patterns, alerts escalate immediately. If environmental factors caused the trigger, the system suppresses warnings to prevent alert fatigue.

This data fusion revolutionises control room operations. Instead of monitoring dozens of screens hoping to catch something, security teams receive correlated intelligence packages that include relevant camera views, access logs, behavioural analysis, and recommended actions. I've seen this transform how security teams operate—they're no longer overwhelmed by data but equipped with actionable intelligence. Edge analytics has been particularly transformative.

These security cameras perform complex video analytics locally, processing data in real-time without transmitting everything to central servers. This significantly reduces latency and enables critical response times when security incidents unfold in minutes, not hours.

The Results: Proven ROI and Real-World Impact

I know what you're thinking—this sounds expensive. While intelligent security requires a higher initial investment, the numbers speak for themselves. The British Retail Consortium found that retailers invested a record £1.8 billion in crime prevention measures, yet crime continued to rise with traditional methods. However, with intelligent analytics, CCTV systems can cut crime rates by up to 34%.

I've personally witnessed organisations experience dramatic transformations. One operator can now effectively monitor what previously required multiple people. False positive alerts drop significantly, so security teams can focus on real threats instead of chasing shadows. Most importantly, actual security incidents decrease because the system prevents crimes before they happen.

Looking Forward: The Strategic Imperative

Traditional surveillance methods are inadequate in today's threat landscape and can become counterproductive by overwhelming security teams with unmanageable amounts of information. The future lies with systems that can think, learn, and adapt.

From my perspective, the question for UK organisations isn't whether to adopt intelligent security systems but how quickly they can implement these capabilities before competitive advantages become operational necessities. In a world where crime is rising despite more cameras than ever, I'm convinced the only sustainable solution is smarter security.

Contact us and see how we can help you with your integrated security requirements