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.