Universal Trust Adapter Hits 6,744 Verifications/Sec with 12-Stage AI Agent Pipeline

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AliceLabs has released Universal Trust Adapter (UTA) v1.0.0, an open-source framework designed to verify and govern AI agent credentials through a 12-stage pipeline. Stages 1–10 handle cryptographic verification of credentials, while stage 11 manages policy decisions on whether a specific agent may use a given tool, keeping the two layers strictly separate. The system generates a Sentinel trust score from 0–10 based on pipeline results, with plans to incorporate external reputation sources and user feedback in v1.1. Performance benchmarks show 6,744 verifications per second on a single two-vCPU Node.js process, with Kubernetes-based scaling and W3C Bitstring Status List revocation handling millions of credentials in roughly 30KB. The project is MIT-licensed and publicly available on GitHub, including a plugin template allowing developers to build custom adapters without a commercial license.

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