[Intro] did:trail — W3C DID Method for AI Agent Identity

Hi everyone,

My name is Christian Hommrich. I'm the creator of TRAIL Protocol and
founder of TrailSign AI, based in Germany. I recently joined the CCG
and wanted to introduce myself and the work we're doing.

TRAIL (Trust Registry for AI Identity Layer) is a W3C DID method
(did:trail) designed specifically for autonomous AI agents. The core
problem: as AI agents increasingly act, sign, and transact on behalf
of principals, we need cryptographically verifiable agent identity at
the infrastructure level — not just human or organizational identity
retrofitted for machines.

Key design decisions:
- Purpose-built for agent-to-agent and agent-to-principal trust
- Delegated authority via cryptographically bound capability credentials
- EU AI Act compliance layer (Article 52+ identification requirements)
- Trust registry model with verifiable credential issuance

Current status:
- DID Method Spec published: https://github.com/trailprotocol/trail-did-method
- W3C DID Extensions Registry PR submitted:
https://github.com/w3c/did-extensions/pull/669
- DIF Contributor (Trusted AI Agents Working Group)
- Formal comment submitted to NIST NCCoE on AI Agent Identity

I'd love to connect with others working on agent identity, verifiable
delegation, or DID method design. Happy to discuss the spec, the trust
model, or how this intersects with existing CCG work items.

Best,
Christian Hommrich
Founder, TrailSign AI
christian.hommrich@trailsignai.com
https://trailsignai.com

Received on Monday, 30 March 2026 19:47:43 UTC