<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.klrc-aiagent-auth" target="https://datatracker.ietf.org/doc/html/draft-klrc-aiagent-auth-01">
   <front>
      <title>AI Agent Authentication and Authorization</title>
      <author initials="P." surname="Kasselman" fullname="Pieter Kasselman">
         <organization>Defakto Security</organization>
      </author>
      <author initials="J." surname="Lombardo" fullname="Jeff Lombardo">
         <organization>AWS</organization>
      </author>
      <author initials="Y." surname="Rosomakho" fullname="Yaroslav Rosomakho">
         <organization>Zscaler</organization>
      </author>
      <author initials="B." surname="Campbell" fullname="Brian Campbell">
         <organization>Ping Identity</organization>
      </author>
      <author initials="N." surname="Steele" fullname="Nick Steele">
         <organization>Open AI</organization>
      </author>
      <date month="March" day="30" year="2026" />
      <abstract>
	 <t>   This document proposes a model for authentication and authorization
   of AI agent interactions.  It leverages existing standards such as
   the Workload Identity in Multi-System Environments (WIMSE)
   architecture and OAuth 2.0 family of specifications.  Rather than
   defining new protocols, this document describes how existing and
   widely deployed standards can be applied or extended to establish
   agent authentication and authorization.  By doing so, it aims to
   provide a framework within which to use existing standards, identify
   gaps and guide future standardization efforts for agent
   authentication and authorization.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-klrc-aiagent-auth-01" />
   
</reference>
