Linux Foundation launches Agent Name Service for AI identity
The Linux Foundation announced its intent to launch the Agent Name Service (ANS) on June 23, 2026, in San Francisco, establishing a new open-source standard designed to create trusted identity infrastructure for autonomous AI agents operating at internet scale Linux Foundation.
Building on DNS to solve agent identity
ANS extends the existing Domain Name System (DNS) infrastructure to provide portable identity, verification, and discovery for AI agents without relying on proprietary registries or centralized control Linux Foundation. The framework establishes a federated approach to securely identifying autonomous agents at scale, addressing a critical gap as agents transition from research prototypes into enterprise production environments.
The standard supports integration with existing identity ecosystems, including Decentralized Identifiers (DID) and Legal Entity Identifiers (LEI), enabling agents to operate within established trust and compliance frameworks. Discovery mechanisms are handled by DNS-AID, a complementary standard that the Linux Foundation adopted on May 27.
Industry backing and current development status
ANS has secured backing from Cloudflare, Cisco, Salesforce, GoDaddy, Infoblox, Hashgraph Online, DistributedApps.ai, and OWASP Cloud Security Alliance, reflecting broad alignment across infrastructure, enterprise, and security communities on the need for standardized agent identity.
The project remains in pre-1.0 development, with code available in the Linux Foundation GitHub and a reference implementation currently using mock cryptography for demonstration purposes. This positions ANS as an actively evolving standard rather than a finished product, inviting continued industry input before stable release.
Why standardized agent identity matters
As autonomous agents expand into customer service, fraud detection, supply chain management, and financial operations, establishing cryptographic proof of identity and verifiable credentials becomes essential. Without standardized identity infrastructure, enterprises face fragmented vendor lock-in, inconsistent verification mechanisms, and operational friction when deploying agents across multiple platforms.
ANS addresses authentication, trust, governance, and interoperability hurdles by treating agent identity as a first-class concern analogous to human and organizational identity on the web. This approach reduces the attack surface for agent impersonation, enables regulatory compliance verification, and simplifies multi-agent coordination in enterprise environments.
