I-D Action: draft-sharif-aeba-01.txt

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Message-ID <178783193639.928038.11084395926010002277__12317.3475659982$1787831984$gmane$org@dt-datatracker-786f84c586-97d96>
Internet-Draft draft-sharif-aeba-01.txt is now available.

   Title:   Agent Event Behaviour Analysis (AEBA): A Framework for Behavioural Security Monitoring of Autonomous AI Agents
   Author:  Raza Sharif
   Name:    draft-sharif-aeba-01.txt
   Pages:   23
   Dates:   2026-08-27

Abstract:

   This document specifies Agent Event Behaviour Analysis (AEBA), a
   framework for collecting, signing, exchanging, and analysing
   behavioural events produced by autonomous AI agents.  AEBA is the
   agent-domain equivalent of User and Entity Behaviour Analytics (UEBA)
   as commonly deployed in enterprise Security Operations Centres.  It
   defines a canonical event schema, signature binding to agent
   identity, baseline and peer-group exchange protocols, deviation
   signalling, detection rule structure, revocation mechanisms, and
   interoperability bindings for existing Security Information and Event
   Management (SIEM) event formats (syslog, CEF, LEEF).  The framework
   is designed to compose with existing cryptographic primitives for
   agent identity, payment, and transport security, and to support
   cross-framework deployments in which agents produced by different
   runtimes must share a common behavioural observability surface.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-sharif-aeba/

There is also an HTMLized version available at:
https://datatracker.ietf.org/doc/html/draft-sharif-aeba-01

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

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


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