I-D Action: draft-reilly-cbpi-00.txt

Internet-Draft draft-reilly-cbpi-00.txt is now available.

   Title:   Cognitive Behavioral Provenance and Integrity (CBPI) for Autonomous AI Agents
   Author:  Lawrence John Reilly Jr.
   Name:    draft-reilly-cbpi-00.txt
   Pages:   28
   Dates:   2026-07-26

Abstract:

   This document defines Cognitive Behavioral Provenance and Integrity
   (CBPI), a framework for recording, verifying, and analyzing the
   operant conditioning history of an autonomous artificial
   intelligence agent.  Existing agent identity, delegation, and
   attestation mechanisms establish who an agent is, who authorized it,
   and what model weights it loaded.  None of them record what shaped
   the agent's behavior after deployment.  CBPI closes that gap by
   defining a tamper-evident, hash-linked record of the reinforcement
   contingencies applied to an agent, a set of integrity properties
   over that record, and a Cognitive Behavioral Analysis (CBA)
   procedure for detecting behavioral drift, unauthorized conditioning,
   and adventitious reinforcement.  A formal data model is provided in
   CDDL.  The framework applies the
   three-term contingency of behavior analysis to machine agents and
   treats reinforcement delivery as a security-relevant event requiring
   authorization, attribution, and non-repudiation.

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

There is also an HTMLized version available at:
https://datatracker.ietf.org/doc/html/draft-reilly-cbpi-00

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


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