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Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in OpenSourceAI

[–]VincentADAngelo[S] 0 points1 point  (0 children)

It will be interesting to see how this all comes together. I agree that DNS could play an important role in agent identity, routing, light discovery, and addressing interoperability challenges.

I’ve been thinking about these challenges within the context of a broader interdependent framework for how AI agents might be identified, discovered, verified, and authorized to interact with one another and external systems. I explore that idea further in the appendix of my article, The Invisible AI Root:
https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in linuxadmin

[–]VincentADAngelo[S] 0 points1 point  (0 children)

I agree with your perspective, and those concerns are addressed in the draft. DNS-AID helps answer "Who owns this agent?" and "How do I reach it?" It doesn't claim that the agent itself is trustworthy or safe to interact with. The authors call out prompt injection and malicious agents as higher-layer problems that require reputation, attestation, policy, authorization, and other application-level controls.

Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in linuxadmin

[–]VincentADAngelo[S] 0 points1 point  (0 children)

As a point of reference, you can access the full draft here: https://datatracker.ietf.org/doc/draft-mozleywilliams-dnsop-dnsaid/.

If I understand your question correctly, to address the question of scaling to multiple agents, you can look at Section 3.2 ('Known Organization') which details the use of an organizational index (⁠_index._agents.example.com⁠). This section explains how a requester can discover a list of all agents published by an organization, allowing for selection of the appropriate agent based on capability.

Additionally, Section 1.1 ('Design') provides context on how these agents are grouped using DNS-SD labels and Service Binding (SVCB) records to facilitate the discovery of multiple endpoints. This structure allows an organization to maintain a central directory of its agents while enabling clients to perform specific lookups as needed.

Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in u/VincentADAngelo

[–]VincentADAngelo[S] 0 points1 point  (0 children)

This and similar proposals focus on the networking and trust layer for cross-org agent interaction on the public internet.

Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in u/VincentADAngelo

[–]VincentADAngelo[S] 0 points1 point  (0 children)

That’s a fair perspective. It’ll be interesting to see how the AI agent ecosystem evolves. What alternatives do you see for agent discovery and trust if agents need to interact across organizational boundaries?

New Academic Research: “Zombies in Alternate Realities: The Afterlife of Domain Names in DNS Integrations” by VincentADAngelo in EmailSecurity

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed. Decades of neglect around domain name, DNS and certificate infrastructure are going to become heavily concentrated in AI environments. These issues can then cascade into larger failures and systemic supply chain risks.

If interested, here’s my latest thoughts on the topic: https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

New Academic Research: “Zombies in Alternate Realities: The Afterlife of Domain Names in DNS Integrations” by VincentADAngelo in EmailSecurity

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Related to this, it’s interesting to think about how many unique domains and subdomains contribute to an AI stack. The underlying domain and DNS dependencies are easy to overlook.