# The Fleet Incident — Mnemom Case Study

[Enterprise](/enterprise)

Case Study

# The Fleet Incident

Automated containment with cryptographic evidence

## The Challenge

An enterprise deploys a fleet of 47 AI agents. One research agent begins exhibiting boundary violations — making decisions outside its declared alignment card. The team needs to detect, contain, and investigate without manual monitoring of every agent.

## The Solution

Mnemom's integrity pipeline detects the boundary violation in real time. The containment engine automatically pauses the agent. The dashboard surfaces the AIP integrity checkpoints and signed verdicts — the analysis of the agent's reasoning at the moment of the violation. All evidence is cryptographically signed and tamper-evident.

## The Outcome

The incident is detected, contained, and documented before any human opens a ticket. The investigation has a complete, cryptographically verified evidence chain from the moment of violation through containment.

## Key Details

-   Real-time boundary violation detection via AIP
-   Automatic containment with configurable policies
-   Signed integrity checkpoints at the violation point
-   Complete evidence chain for post-incident review

[All case studies](/enterprise)[The Multi-Agent Negotiation](/case-studies/multi-agent-negotiation)

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