Why AI Agents Need Verifiable Identity

300,000 Agents, Zero Identity There are hundreds of thousands of AI agents running in production right now. They call APIs, execute trades, process data, and pay each other in USDC. Some of them are doing exactly what their operators intended. Some of them are not. How do you tell the difference? You cannot. Not today. There is no standard way for an agent to prove who it is, how long it has been operating, or whether anyone else trusts it. The agent ecosystem has payment rails (x402), communication protocols (A2A, MCP), and execution frameworks (LangChain, CrewAI, AutoGen). What it does not have is an identity layer. This is the missing piece, and the consequences are already showing up. The Risks Are Not Theoretical Unsigned Skills on MCP Registries Browse any MCP skill registry and you will find hundreds of community-contributed skills. ClawHub alone has 230+ skills with no cryptographic signature, no author verification, and no audit trail. An attacker can publish a skill called gm