466 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, 5 DOIs. v4.3.0
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Apr 25, 2026 - Python
466 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, 5 DOIs. v4.3.0
A fractal, machine-readable theological architecture for Logos-grounded governance, derivation, and LAIRCA-style decision systems.
Defines the decision layer for AI systems where deployment outcomes are governed, recorded, and reconstructable. 5th conforming implementation of draft-farley-acta-signed-receipts (IETF).
A shared decision protocol for governed collaboration between agents, automation, and stewards.
Research repository by Xufen Tu exploring human judgment, decision architecture, and responsibility structures in complex AI-mediated systems.
Canonical AI governance standards library and terminology registry for Behavioral AI Governance and Execution-Time Governance systems, maintained by Hollow House Institute. DOI: 10.5281/zenodo.18615600
Validation tools for the OpenProof Registered Probative Object (RPO) specification.
Boundary-discovery and anti-self-deception framework for AI efficiency research. Produces falsifiable, condition-specific verdicts. First validated result: a hard failure boundary for token pruning.
Reference implementation for the Registered Probative Object (RPO) — deterministic evidential bundle (sealed JSON + preview + public hash)
Example Registered Probative Objects (RPO) generated by the OpenProof deterministic simulator.
AIUC-1 Readiness Assessment - Pre-certification adversarial testing for AI agents
Public documentation for O.M.E.G.A., a governed multi-agent execution framework. Covers architecture, workflows, and integration patterns powered by Keon governance.
OpenProof — Probative infrastructure standard Registered Probative Object (RPO): sealed JSON + human-readable PDF + public hash. Specification + reference demonstration.
Public, governed documentation for Keon Systems. Defines claims, architecture, and verification paths for governing AI and automated decisions.
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