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[ARTICLE · art-139070] src=blog.checkpoint.com ↗ pub= topic=ai-safety verified=true sentiment=· neutral

Synchronous Control Monitoring: Preventing Harmful Agent Actions in Real Time

Check Point Software published a blog post describing synchronous control monitoring, a technique in which a separate model continuously ingests an autonomous agent's execution trace and blocks harmful actions before they run, at sub-100ms latency while the agent generates tokens at 30 tok/s. Check Point states the approach is needed on top of existing safety mechanisms, citing the Hugging Face Incident and OpenAI's increased investment in monitoring safety tools.

read1 min views1 publishedSep 15, 2026

We ensure alignment and control in agents using synchronous control monitoring. Our model oversees agent execution, continuously ingests the trace as context, and prevents harmful actions before they execute in real time at sub-100ms latency. Agent trace at 30 tok/s, streamed to the control monitor model on the right. Prevents harmful actions before they are executed. Background Control Monitoring is a powerful tool for ensuring the runtime alignment and safety of autonomous agents. Since the Hugging Face Incident, the need for control monitoring on top of existing safety mechanisms was reinforced: OpenAI started investing more heavily into monitoring safety tools. […]

The post Synchronous Control Monitoring: Preventing Harmful Agent Actions in Real Time appeared first on Check Point Blog.

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