Let Your AI Agent Triage Alerts So Your Team Doesn't Have To

Rhombus + Claude Series

A large enterprise camera deployment generates hundreds of alerts every day. Most of them are false positives — a tree branch moving in the wind, a shadow crossing a loading dock, a delivery driver doing their job. But buried in that noise, on any given day, are two or three alerts that actually matter.

The traditional response to this problem is to hire more people. A second shift. A third. A full-time analyst whose entire job is scrolling through the alert feed and deciding what’s real. It works — for a while. Then burnout sets in, the good analysts leave, and the alerts start going unreviewed.

The problem was never that there were too few alerts. It was that there were too many of the wrong ones, and no way to filter before a human had to look.

Rhombus exposes every alert — including frames, thumbnails, and full context — as structured data an AI model can review faster and more consistently than a person.

For the developers:

With Claude and the Rhombus plugin, a triage pass is one prompt:

“Review the last 50 alerts. Dismiss anything that looks like normal business activity. Flag anything unusual for human review.”

Claude pulls the alerts, analyzes the frames, and returns a prioritized list: 47 routine, 2 worth reviewing, 1 flagged urgent.

The payoff: Your security team stops being an alert-clearing machine and starts being an incident response team. The signal-to-noise ratio of what actually reaches a human goes up, response times go down, and the people you hired to protect the organization get to spend their day doing the work you hired them for.