AgentFacts: Universal KYA Standard for Verified AI Agent Metadata & Deployment

TL;DR

AgentFacts introduces a universal, cryptographically-secured metadata standard for AI agents, enabling verified capabilities, multi-authority validation, and dynamic permissions to foster trustworthy enterprise AI deployment.

Contribution

The paper proposes AgentFacts, a novel standardized metadata framework that enhances verification, trust, and governance in enterprise AI agent deployment.

Findings

Enables cryptographically-signed agent capability declarations

Supports multi-authority validation for trust diversification

Facilitates scalable enterprise AI coordination

Abstract

Enterprise AI deployment faces critical "Know Your Agent" (KYA) challenges where organizations must verify third-party agent capabilities and establish trust without standardized metadata or verification infrastructure. Current approaches rely on self-declared capabilities and custom integration processes that create trust gaps and coordination friction limiting confident enterprise adoption. This paper presents AgentFacts, a universal metadata standard that enables systematic agent verification through cryptographically-signed capability declarations, multi-authority validation, and dynamic permission management. The specification introduces domain-specialized verification where different trusted authorities validate specific metadata aspects based on their expertise, eliminating single points of trust failure while enabling graduated confidence assessment. AgentFacts transforms agent procurement from custom integration projects into standardized workforce management, providing the transparency and governance infrastructure necessary for enterprise AI coordination at scale.