I-D Action: draft-chandra-agent-registry-corroboration-01.txt

Internet-Draft draft-chandra-agent-registry-corroboration-01.txt is now
available.

   Title:   Multi-Source Corroboration for AI Agent Discovery
   Author:  Sharath Chandra
   Name:    draft-chandra-agent-registry-corroboration-01.txt
   Pages:   23
   Dates:   2026-08-28

Abstract:

   AI agents are discovered and identified through independent sources,
   including registries, name services, DID methods, and catalogs.  A
   single source can misrepresent an agent by omission, withholding a
   record it holds, or by equivocation, serving different answers to
   different observers.  A signature on a served artifact does not, by
   itself, defend against either behavior.  This document specifies a
   corroboration procedure that classifies one source's claim about one
   agent observed from one network vantage; reduces claims to comparable
   views; diffs claims into findings with deterministic attribution;
   distinguishes legitimate propagation delay from persistent
   disagreement; and emits a signed Corroboration Record for every
   sweep, including agreement, that other evidence formats can bind by
   digest.  The procedure is source-, format-, and layer-agnostic;
   requires neither cooperation from nor modification of any source; and
   is verifiable from recorded bytes.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-chandra-agent-registry-corroboration/

There is also an HTMLized version available at:
https://datatracker.ietf.org/doc/html/draft-chandra-agent-registry-corroboration-01

A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-chandra-agent-registry-corroboration-01

Internet-Drafts are also available by rsync at:
rsync.ietf.org::internet-drafts


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