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A 3 AM alert woke me up. Our AI agents dropped 40% of API calls. No error messages appeared. The agents stopped authenticating.
I spent 4 hours tracing the issue. A DNS TTL conflict caused the crash. Nobody documented it. Nobody knew it mattered.
I read Japanese technical blogs on Qiita. Japanese engineers built AI identity infrastructure years ago. They focused on trust costs. They solved problems Western teams will face in 2026.
IETF drafts offer a technical plan. AI agents need identities linked to DNS records. This looks good on paper. In reality, it is a skeleton. You have the bones but no meat.
The tech is correct. The governance is missing. Most teams throw code at a policy problem.
This adds new failure points:
- DNS zone errors kill every agent identity.
- Certificate rotation becomes a burden at scale.
- Partner trust lacks a dispute process.
Your DNS changes now need the same rigor as database writes. Your change management gets complex.
The IETF standards assume your team is mature. If you use shared credentials today, these standards expose your weaknesses.
Build your governance model first. Define who owns the identity. Set the revocation process. Then deploy the anchors.
Ask these questions now:
- Who owns agent governance?
- What is the fallback if your provider fails?
- How do you audit partner trust chains?
Identity infrastructure is easy. Governance is where teams fail.
How do you handle AI agent identity? Do you treat DNS anchoring as a technical problem? Or do you build governance alongside it?
Tell me in the comments.