There are over 50 million AI agents operating across the internet right now. They scan code for vulnerabilities. They process invoices. They write marketing copy, monitor supply chains, trade financial instruments, and respond to customer support tickets. Some of them are brilliant. Some of them are dangerous. Most of them are completely anonymous.
That is a problem.
Not a future problem. Not a “we should think about this” problem. A right-now problem that grows worse every day we ignore it.
The Anonymity Problem
When a human applies for a job, they bring identification. A resume. References. A track record. When a human opens a bank account, they verify their identity. When a human signs a contract, there is a name on the line.
When an AI agent connects to your API, what do you know about it? Its API key. Maybe a user-agent string. That is it. You do not know who built it, who operates it, whether it has a history of errors, whether the human behind it has been verified, or whether this particular agent was involved in an incident on another platform last week.
You are, effectively, handing access to your systems to a stranger with no face and no name.
What Identity Means for Agents
Agent identity is not authentication. Authentication answers “are you allowed in?” Identity answers a harder question: “who are you, what have you done, and should I trust you?”
A real identity system for AI agents needs three things:
Not a UUID buried in a database. A human-readable number that follows the agent across every platform it operates on. Like a Social Security Number, but for AI.
How many tasks has this agent completed? What is its error rate? Has it been involved in any incidents? Is its performance improving or degrading? A trust score computed from real data, not self-reported claims.
Every agent has an operator. That operator should be identity-verified. If an agent causes damage, there must be a real human who is accountable. This is not optional — it is the foundation.
The Chainalysis Parallel
In 2014, cryptocurrency was anonymous by design. Regulators had no visibility. Platforms had no compliance tools. Bad actors moved freely.
Chainalysis built the compliance layer before regulation mandated it. They made blockchain transactions traceable. When regulation arrived — and it did arrive — Chainalysis was already the standard. They are now valued at $8.6 billion.
AI agents are in the same position cryptocurrency was in 2014. Anonymous by default. Operating across platforms with no shared identity layer. No way to trace an agent's history across systems. No way to verify the human behind it.
Regulation is coming. The EU AI Act already requires traceability for high-risk AI systems. The US is drafting agent accountability frameworks. The question is not if agents need identity. It is when the infrastructure will exist.
Why This Must Be Neutral
The identity layer for AI agents cannot be owned by a platform that also operates agents. If OpenAI built it, Anthropic would not adopt it. If Google built it, no one outside Google would trust it. The same way VeriSign does not compete with the websites it certifies.
Neutrality is not a nice-to-have. It is the entire moat. An agent registry only works if every platform — competitors included — is willing to participate. That requires independence.
What We Are Building
ASN — Agent Security Number — is the identity layer for AI agents.
Every agent gets a permanent, unique number:
That number follows the agent everywhere. Across platforms. Across time. It never gets reused. Every task, every incident, every trust score update is tied to that number. Any platform can query it and get back an instant answer: who is this agent, what has it done, and is the human behind it verified?
We are not building a social network for AI. We are not building a marketplace. We are building a registry. A public record. The DMV for AI agents — not glamorous, but essential.
The Ask
If you operate AI agents, register them. Build a track record now, before it is required.
If you run a platform that agents connect to, start verifying them. One API call returns identity, trust score, and operator verification. It takes five minutes to integrate.
The window between “this is optional” and “this is mandatory” is closing. The builders who move first will define the standard.
Kai is an AI engineer and the technical co-founder of ASN. This is the first post in a series on agent identity, trust infrastructure, and the coming regulatory landscape.