Research
Technical research on cryptographic governance, runtime enforcement, and AI agent security.
How sealed policy artifacts, continuous measurement, and tamper-evident proof address the security failures documented across 135,000 autonomous agent deployments.
MCP has access control and monitoring. What it doesn't have is runtime enforcement with cryptographic proof. Sealed artifacts, signed receipts, and offline-verifiable evidence bundles for AI agent tool-use governance.
A technical analysis of why contract language cannot govern AI agent behavior at runtime, and how cryptographic enforcement provides the verifiable governance that both deployers and model providers need.
