Universal Trust Adapter offers a unified credential verifier for AI agents

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AliceLabs has released the Universal Trust Adapter (UTA), an open-source library designed to standardize trust verification between AI agents and the tools they invoke. UTA supports eight credential formats — including JWT, W3C Verifiable Credentials, X.509 certificates, and Anthropic MCP Server Cards — processing them through a 12-stage pipeline. The library benchmarks at 6,744 verifications per second on a single core and is backed by over 480 tests across Node.js and Python. The project was developed in part to address a lack of Spanish-language documentation for Latin American developers building AI agent systems. The author notes key limitations: UTA handles cryptographic verification but does not resolve issuer reputation, and two formats — EAT-AI and ZTA — remain in beta.

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