We verify that AI agents actually represent their principals' interests when they negotiate, commit, and transact.
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When AI agents negotiate on behalf of businesses, speed creates new problems. Failure modes are emergent — two agents can each behave perfectly in isolation and still produce a deal neither principal wanted.
Security tools monitor individual agents. Payment rails move money. But nobody verifies the interaction itself — that the deal being made is the deal both sides intended.
Carabin sits as a verification layer between AI agents — scanning, monitoring, and validating every step from first handshake to final settlement.
Real-time observation of agent-to-agent negotiations as they happen.
Detect silent agreement mismatches, commitment contradictions, and specification drift.
Ensure completed deals reflect what both principals actually intended.
Published research at ICML, ICCV, AAAI, ICLR, ICASSP, and more. We built the first inter-agent procurement benchmark.