When an AI agent goes wrong, your SIEM logs what it did. Clean Machines AI tells you why it decided to — reconstructing the full chain from instruction to reasoning to action, in real time, before the damage is done.
The visibility gap
An agent attack is not an event — it is a session. A compromised instruction in step three produces a destructive action in step forty-seven. By the time a log line appears, the cause is gone. EDR, CASB, and SIEM were built to correlate what happened. They have no way to reconstruct why.
The platform
Clean Machine AI reconstructs the full execution chain — prompt, reasoning, tool invocation, outcome — and detects behavioral threats in real time. Not pattern matching on outputs. Not posture snapshots. Live analysis of what your agents are actually doing and why.
Links every agent action back to the instruction that caused it and the reasoning that shaped it. When something goes wrong, you know where it started.
Builds a per-agent behavioral profile across sessions. Detects drift — new tool patterns, unusual data access, intent that no longer matches the task — before it becomes an incident.
Feeds detection verdicts back into gateway interceptors and policy engines in real time. Today's detection becomes tomorrow's prevention — automatically, without manual rule updates.
Early access
If your organization is deploying autonomous agents in production and you want visibility into what they are actually doing, we want to hear from you. Design partners get direct access to the team and shape the roadmap.