Introducing AI-Powered Real-Time Risk Detection for OT Remote Access

Transcript 

Every day, employees and third parties, vendors, integrators, and OEMs, connect remotely to your most critical assets. You control who gets in, when, and what they can reach. But once they're inside the session, you can't see what they actually do.

Any one of them — a contractor with broad access, an OEM running maintenance, an employee making an honest mistake, or an AI agent acting on someone's behalf — can disrupt safety, production, or uptime.

Watching every session live isn't realistic. You don't have the people for it. Most sessions aren't even recorded. The recordings you do have, no one has time to watch. And a recording can't act. By the time anyone reviews it, the damage is done.

Real protection comes from identifying risk in real time.

So today, organizations simply accept the risk that comes with unsupervised critical access.

That's where Cyolo PRO Live Risk Detection comes in. It adds AI supervision directly into active remote sessions.

The AI evaluates what the user is doing in the context of the user, the task, and the session, to judge the risk and intent behind each action.

It summarizes activity in real time, assigns a severity level, and instantly alerts the right team with the details and the user's identity, before an action becomes an impact.

It covers both security threats and operational risks, with no need to predefine every risky action in advance. The same goes for AI agents: when activity goes out of scope or turns harmful, Live Risk Detection surfaces it.

The AI gives the signal and the context. Your team decides whether to observe, join, or terminate. It never acts on its own.

Built for OT, with human control, and your data is never used to train the model.

Real-time oversight across every session. Something you couldn't do before.

Cyolo PRO Live Risk Detection. Book a demo to see it in action.