Retail security is in the middle of a quiet but fundamental shift. For decades, cameras and alarms told retailers what had already gone wrong. Now, AI can push that same infrastructure forward by telling retailers what is going wrong right now, while there's still time for them to act.

"The biggest change that AI is bringing to the retail security industry is its taking video surveillance from a reactive environment to a proactive environment," said Mike Halbouni, security camera and telecommunications expert at Poyntguard. "Traditional security systems give you evidence that a crime or theft has occurred. AI security systems are able to identify people, vehicles, or specific behaviors that alert the retailer or consumer while the situation is still happening. Response time is the key, and the correct data in this situation is crucial."

That shift is showing up in the numbers. Retailers saw a 12.4% decrease in shoplifting incidents and an 8.1% decrease in merchandise theft in 2025 compared with 2024, according to a July report from The National Retail Federation (NRF). It's a rare reversal after years of climbing losses. Halbouni pointed to investments in technology and employee training as the key drivers behind that stabilization, even as retailers say offenders are adapting just as fast as the tools meant to stop them.

From detection to decision-making

The proactive model Halbouni describes is already showing up on the floor: predictive analytics flagging high-risk products or time windows, automated incident reporting that cuts investigation time, and real-time alerts routed straight to staff rather than sitting in a video archive waiting to be reviewed after the fact. The appeal is obvious with faster response, less reliance on adding headcount, and evidence that's usable in the moment rather than after the loss.

“Time is key here, and instead of sifting through hundreds of meaningless motion alerts, AI focuses on what really matters and gives the retail staff the ability to react quicker,” Halbouni said.

Where the real challenge begins

But speed and accuracy aren't the only variables retailers need to manage. As AI moves from watching behavior to identifying people, the stakes can change entirely.

"We also have to talk about what happens to the customer experience when the technology starts identifying people," said Jackie Swanson, managing partner at Gartner Consulting. "The moment a system stops asking, 'What is happening in this store?' and starts asking, 'Who is this person?', the responsibility changes."

That distinction lies in tracking behavior versus track identity and is where governance becomes non-negotiable. Facial recognition and other biometric tools carry a different order of privacy, accuracy and reputational risk than product recognition or transaction analysis. Retailers need explicit answers to a short list of hard questions: What data is being collected, how long it's retained, when a human has to validate an AI-generated alert, and what the recourse is when the system gets it wrong.

Dion Johnson, CEO of digital likeness protection startup Indie Me, put the human cost in plain terms: "Facial recognition is not just another camera. It uses someone's face as biometric information to make an identity decision. And when that decision is wrong, the impact is deeply personal. That is why I believe retail security has to protect in both directions."

The takeaway

AI is no longer a pilot project in retail security. It's already embedded in loss prevention strategy and the data suggests it's contributing to real reductions in theft. But the technology's value is inseparable from how carefully it's deployed. Tools that flag behavior and streamline evidence collection are delivering measurable wins with comparatively low risk. Tools that identify individuals carry a much higher bar: clear data policies, human oversight of consequential decisions, and accountability when the system errs.

The retailers who benefit most for AI security applications will be the ones who can match the sophistication of the tool to the sensitivity of the decision it's making, protecting the store without compromising the persons walking through it.