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Verified Identity for Autonomous Systems Autonomous systems require identity, authority and auditability. Why This Matters As AI agents act on behalf of people and organizations, actions must be attributable without exposing underlying personal data. How It Works
  • Persistent agent DIDs
  • Cryptographically signed actions
  • Verified developer control
  • Zero-knowledge capable credentials
  • Model Context Protocol compatibility
Supports agent-to-agent and agent-to-human trust. What Changes Audit traceability, lifecycle control and regulatory defensibility are preserved. Anonymous execution, unverifiable automation and centralized identity aggregation go away.