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Agentic AI Governance Research

Technical research on agentic AI governance, cryptographic runtime enforcement, and AI agent security.

Every Checkmark Passed, Nothing Was Proved.
March 30, 2026|10 min

Every Checkmark Passed, Nothing Was Proved.

Six vendors shipped agent governance at RSAC 2026. The proof column was empty across every row.

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Who Controls the Model at Runtime?
March 28, 2026|8 min

Who Controls the Model at Runtime?

The Pentagon called runtime model control a national-security risk. Forty-eight hours later, Anthropic accidentally proved why.

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The Agent Identity Gap
March 25, 2026|9 min

The Agent Identity Gap

Every major identity vendor shipped agent authentication. None shipped portable cryptographic agent identity.

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Why Your AI Agent's Memory Needs Governance
March 25, 2026|8 min

Why Your AI Agent's Memory Needs Governance

AI agents consolidate memory between sessions with no audit trail, no cross-referencing, and no way to verify accuracy.

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Three Desktop Agents in Two Weeks: The Governance Gap Moves to Your Machine
March 24, 2026|9 min

Three Desktop Agents in Two Weeks: The Governance Gap Moves to Your Machine

Three desktop agents shipped in two weeks. None provide proof of what they did.

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The Agent Evidence Gap
March 23, 2026|12 min

The Agent Evidence Gap

Autonomous agents optimize everything, except proof of what they did.

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The Governance Gap in Autonomous AI Agents
March 16, 2026|15 min

The Governance Gap in Autonomous AI Agents

How sealed policy artifacts, continuous measurement, and tamper-evident proof address the security failures documented across 135,000 autonomous agent deployments.

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Cryptographic Governance for MCP Servers: From Trust to Proof
March 15, 2026|10 min

Cryptographic Governance for MCP Servers: From Trust to Proof

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.

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From Trust Me to Verify Me: Why AI Governance Needs Cryptographic Enforcement
March 11, 2026|12 min

From Trust Me to Verify Me: Why AI Governance Needs Cryptographic Enforcement

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.

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