‘Blame the intern’ shouldn’t be an agentic AI safety technique

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Classes from SOAP and the API period

When a brand new paradigm arrives, step one is commonly to agree on how methods will speak, not but on tips on how to make these conversations protected. Within the early 2000s, internet providers confronted this downside head-on. SOAP, or Easy Object Entry Protocol, supplied a structured and infrequently verbose technique to alternate knowledge between methods. It was a milestone in interoperability, but it surely was not safety. SOAP didn’t cease knowledge leaks, implement robust authentication, or shield towards malicious payloads.

It took years, together with the evolution towards REST, JSON APIs, and mature microservices patterns, earlier than safety grew to become as standardized because the communication itself. By that time, hardened API controls akin to authentication, authorization, schema validation, and price limiting had turn into inseparable from the concept of doing APIs proper. The lesson was clear: requirements can outline the principles of engagement, however solely safety makes these engagements protected.

We are actually within the SOAP section of agentic AI. Early protocols akin to Model Context Protocol, or MCP, and Agent2Agent, or A2A, are establishing the handshake and the shared language for discovery, negotiation, and integration. They’re essential, however they aren’t enough. Simply as SOAP couldn’t make integrations reliable, at the moment’s AI protocols can’t make autonomous brokers protected by default.

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