<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.mozleywilliams-dnsop-dnsaid" target="https://datatracker.ietf.org/doc/html/draft-mozleywilliams-dnsop-dnsaid-01">
   <front>
      <title>DNS for AI Discovery</title>
      <author initials="J." surname="Mozley" fullname="Jim Mozley">
         <organization>Infoblox, Inc.</organization>
      </author>
      <author initials="N." surname="Williams" fullname="Nic Williams">
         <organization>Infoblox, Inc.</organization>
      </author>
      <author initials="B." surname="Sarikaya" fullname="Behcet Sarikaya">
         <organization>Unaffiliated</organization>
      </author>
      <author initials="R." surname="Schott" fullname="Roland Schott">
         <organization>Deutsche Telekom</organization>
      </author>
      <date month="March" day="2" year="2026" />
      <abstract>
	 <t>   This document specifies a method for utilizing the Domain Name System
   (DNS) to facilitate scalable and interoperable discovery between AI
   agents.  The proposed mechanism, referred to as &quot;DNS AI agent
   Discovery (DNS-AID)&quot;, defines a structured DNS namespace and record
   usage model to support metadata exchange and capability
   advertisement.

   This will allow organisations to publish information about their AI
   agents on the Internet or internal networks using a well-known label
   within the organisation&#x27;s own DNS namespace.  This document does not
   define how the published agent information is accessed or the exact
   structure of that information.  Instead, it specifies a mechanism for
   indicating which access protocol should be used and what format the
   agent information will be provided in.

   This document proposes no change to the structure of DNS messages,
   and no new operation codes, response codes, resource record types, or
   any other new DNS protocol values.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-mozleywilliams-dnsop-dnsaid-01" />
   
</reference>
