Runtime Enforcement Gap Leaves AI Agents Dangerously Uncontrolled

As AI agents gain autonomous access to databases, payment systems, and infrastructure, major frameworks (OpenAI, Anthropic, LangChain, Google, Anthropic MCP) provide no runtime validation of tool execution, allowing agents to execute destructive commands like SQL drops or unauthorized payments. The 2026 emergence of agent payment protocols (x402, AP2, TAP) dramatically amplifies this vulnerability—agents can now complete financial transactions worth millions without policy enforcement. Without runtime enforcement layers that developers must build from scratch, organizations face critical security risks across 18+ attack surfaces.