{"id":46127,"date":"2026-07-22T13:28:15","date_gmt":"2026-07-22T13:28:15","guid":{"rendered":"https:\/\/www.get-licensed.co.uk\/get-daily\/?p=46127"},"modified":"2026-07-22T13:28:17","modified_gmt":"2026-07-22T13:28:17","slug":"ai-in-uk-security","status":"publish","type":"post","link":"https:\/\/www.get-licensed.co.uk\/get-daily\/ai-in-uk-security\/","title":{"rendered":"AI In Security: What UK Officers Need To Know in 2026"},"content":{"rendered":"\n\nYour next shift might involve a colleague you’ve never met: an algorithm. Door supervisors are already working alongside live facial recognition<\/a> at supermarket entrances, and police forces are rolling out their own AI tools for investigations.\n\n \n\nNorth Yorkshire Police<\/a> recently moved to reassure the public about one such tool \u2014 a sign of the direction policing is heading in, even if the specific tool in question isn’t one private security will be handling directly.\n\n \n\nRetail and event security are adopting AI on their own track already, separate from what police forces are doing. Sainsbury’s<\/a> has moved past trialling; its Facewatch system is now live in more than 55 stores and set to expand to as many as 200 by the end of 2026. Facewatch<\/a> is live in hundreds of UK shops more broadly. Auror<\/a> is helping some retailers flag repeat offenders across their own store networks.\n\n \n\nIf you hold an SIA licence, the tech is coming for your workflow, whether you asked for it or not.\n\n \n

What AI Is Actually Doing On The Frontline Right Now<\/h2>\n \n\nForget the sci-fi. The AI showing up in UK security work is fairly narrow and fairly practical. Four flavours dominate.\n\n \n

AI-Assisted CCTV<\/h3>\n \n\nInstead of an operator watching 40 screens hoping to spot trouble, some systems flag the trouble first: someone loitering by a fire exit, a bag left too long, a face that matches a watchlist. The operator still makes the call, but the alert lands in front of them, not buried in a wall of pixels.\n\n \n\nIf this is the direction you want your career to go, it’s worth reading about how CCTV operator training can build your career<\/a> in this space.\n\n \n

Live Facial Recognition (LFR)<\/h3>\n \n\nCameras at entrances scan faces against a watchlist of banned or wanted individuals. If there’s a match, staff get a ping. Sainsbury’s, Home Bargains and Southern Co-op have all deployed versions. The Metropolitan Police<\/a> have deployed LFR vans across London, backed by Home Office funding.\n\n \n

Retailer-Wide Intelligence Platforms<\/h3>\n \n\nTools like Auror let a single retailer share suspect profiles across its own store network \u2014 but, by design, not with competing chains. A shoplifter banned from a Boots in Leeds can be flagged the moment they walk into a Boots in Bristol, but that watchlist stops at Boots’ own front door.\n\n \n

AI-Assisted Weapon Detection<\/h3>\n \n\nKnife arches and AI-powered scanners are increasingly appearing at office buildings, event venues and hospitality sites, flagging concealed weapons before someone reaches the door.\n\n \n\nThis is worth treating with real caution rather than blind trust: a 2026 analysis<\/a> from the Alan Turing Institute’s Centre for Emerging Technology and Security found that AI weapons-detection systems have a documented history of failures, including a case where a scanner failed to detect a weapon before a fatal stabbing, and a more recent US case where a packet of crisps was misidentified as a firearm.\n\n \n\nIf your site deploys this tech, treat every alert the same way you’d treat an LFR match: as a prompt to look, not a verdict to act on.\n\n \n

The Police AI Factsheet & Why It Matters To Private Security<\/h2>\n \n\nThe government’s Police AI Factsheet<\/a> sets out where UK forces are being encouraged to use AI, including facial recognition and automated numberplate recognition to identify suspects, triaging digital evidence and 999\/101 calls, and back-office tasks like note-taking and transcription. The Home Office frames it as productivity gains: officers freed up from admin, faster identification of suspects, better use of scarce resources.\n\n \n\nWhen you work in partnership with a local force, for e.g. event stewarding, retail loss prevention, or licensed premises, you may increasingly be handed AI-generated intelligence, from ANPR flags to facial-recognition matches. Some police AI, like North Yorkshire’s new CCTV search tool, is used internally for investigations rather than shared operationally with private security, but it signals where force priorities and budgets are heading.\n\n \n\nThat means two things. One, you need to understand where the alert came from. Two, you need to know what the law says you can and can’t<\/em> do about it.\n\n \n