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Stop managing alarms. Start addressing threats.

AI Operator processes every alarm so your team can focus on the ones that require a human decision.

The alarm problem isn’t getting better on its own

Hundreds of camera alarms. Per day. Per site. And somewhere in that pile is a real threat.

Your operators are doing their best. But no human can reliably triage thousands of alarms a shift, distinguish a door propped open from a break-in, or stay sharp through hour four of false positives. The signal is in there. It’s just buried.

That’s not a people problem. That’s a system problem.

Real incidents get missed

When everything looks urgent, nothing is. Operators burn through the noise and real threats slip by.

Leadership gets paged at 3 a.m.

For a door that was left open. Again. Your security program loses credibility (and so do you).

Your team never gets to the real work

Pattern analysis. Proactive threat identification. Strategic security oversight. It’s on the list. It never happens.

How to Reduce Physical Security False Alarms by 90%

Your operators are too good to spend their day triaging false alarms.

AI Operator takes the first look at every alarm: validating, prioritizing, and routing. Your team receives every true incident with context, not questions.

The result: up to 90% of alarm volume handled without a human touch. Your operators can focus on the right response for the rest.

How does AI help physical security teams?

(3-step flow)

AI reviews alerts

AI Operator receives the alert trigger and evaluates it instantly against other data feeds, your rules and configurations, taking into account your specific program and site context.

AI resolves and prioritizes

Routine event? Resolved automatically, with a full record of what happened and why. Genuine threat? Escalated to your operator queue immediately, with full context and suggested next steps according to your SOPs.

Your team acts

Operators see only what needs them. No noise. No second-guessing. Just real incidents, ready for human judgment.

Your security program. Your rules.

AI Operator is configurable by camera, facility, floor, time of day, day of week, and alarm type. This isn’t black-box AI making decisions you can’t explain. You control exactly what gets automated: every AI Operator decision is based on your SOPs.

Start with one use case. Expand when you’re ready.

Chosen by the world’s most demanding security teams.

“For GSOC operators, noise reduction isn’t just a nice-to-have — it’s foundational. When operators aren’t buried in alerts they have to manually triage and dismiss, they can focus on what truly matters: proactive threat analysis, strategic decision-making, and protecting the organization at a higher level.”

91%

Alarms resolved without a human

40

Operator hours per week saved

Not ready to commit? Let us help you analyze.

Before any automation goes live, run a 30-day dry run. AI Operator works in shadow mode, evaluating your real alarm volume against your rules, and delivers a full report: what it would have resolved, at what accuracy, and what you would have saved.

You see the data before you make any decisions. That’s how we’d want it too.

When the noise is handled, everything changes.

The shift isn’t just operational. It’s cultural. When operators stop triaging false positives and start focusing on real threats, the whole security function moves forward.

Your team has time to address patterns. They surface emerging risks. They build the kind of proactive security program you’ve been trying to get to for years. And when the CFO asks what security delivered this quarter, you have an answer backed by data.

How to Develop a Strategy for Reducing Noise in the SOC

Your operators deserve better than alarm triage.

Let us show you what AI Operator would have handled last month — with your data, your alarm types, your sites.