Agentic AI could enhance security by reducing workload, improving response times, preventing incidents before they happen, and making security teams more efficient.
In the 90s, Clippy—the little paperclip assistant in Microsoft Office—was the height of “AI.” That cute little clip used to pop up constantly, eager to help but mostly just getting in the way. (Sorry, Clippy.)
Clippy meant well but wasn’t exactly smart. Automated intelligence (AI) has come a long way since those days, but even now, most AI systems still work like a glorified Clippy—waiting for input, following basic rules, and ultimately relying on humans to make the real decisions.
Agentic AI, though, makes Clippy look like a relic from the Stone Age. Unlike traditional AI, autonomous agents don’t just wait for instructions—they can “think,” plan, and take action independently.
In this blog, we’ll talk about skills for using AI agents, the benefits of agentic automation, and more.
Up until now, AI has mostly been reactive. It could analyze data, recognize patterns, and even generate insights, but it still needed a human to tell it what to do. Generative AI agents are different. They can:
That’s a big deal for a lot of industries and fields, but maybe especially for security. Instead of just being a tool, AI is posed to step up and act more like a collaborator.
Different users will interact with AI agents in different ways. If you're building or customizing an AI agent, then yes, some technical expertise may be needed. But for end users, specialized skills for using AI agents generally won’t be required. The real skill is knowing how you can leverage AI to work smarter.
Hear from our CTO, Steve Lindsey, on how you can benefit with agentic AI capabilities:
One of the biggest challenges in security is the sheer amount of time it takes to collect, review, and process evidence. Teams may have to sift through days of footage from dozens of cameras to piece together what happened. Agentic AI can automate that process and build a complete case file within minutes instead of weeks.
Faster, more efficient investigations make prosecution easier and cheaper, which, in turn, increases deterrence. If criminals believe they’ll actually be held accountable, they’re less likely to commit crimes in the first place.
Deterrence isn’t one-size-fits-all. A flashing light or blaring alarm might work sometimes, but it takes a lot more to deter some wrongdoers. An AI agent could up the stakes significantly by issuing a direct, personalized warning, like:
“Hey, you in the green shirt! You are trespassing and the cops have been notified.”
People don’t expect security systems to call them out specifically, and when they do, it creates a moment of hesitation that can prevent an incident before it happens.
Most security systems only flag what has already happened—someone crossed a restricted boundary, a fight broke out, or an item was stolen. But agentic AI can recognize suspicious patterns, such as:
By detecting and flagging these pre-crime behaviors, AI agents could give security teams the ability to intervene before a potential wrongdoer actually does something wrong.
For businesses or municipalities managing security across multiple locations, the challenge lies not in responding to individual incidents but in seeing the bigger picture.
AI agents could be used to track crime trends across different locations, helping security teams identify:
Security teams could then use this data to adjust patrol routes, relocate surveillance units, or deploy additional deterrents.
AI has already changed the way we keep people, spaces, and assets secure, but agentic AI is the next evolution. Businesses that adopt generative AI agents now will be more efficient, more secure, and more competitive than those that stick to outdated, rule-based automation.
LVT collaborates with partners to give customers the best version of agentic AI. Hear more:
If you’re interested in learning how our security solutions already use AI, contact our team today.