VERITAS OS is an AI agent governance runtime for decision control, policy enforcement, approval workflows, audit trails, and replayable evidence before real-world actions.

470 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, CVE-2026-25253 reproduction. v4.4.2

Governed fractal theological architecture for AI-era Christian retrieval: making Scripture, doctrine, interpretation, source trust, weighting, and application traceable, reviewable, and human-accountable.

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).

Decision-centric AI governance framework for biopharma/biotech development. Ten-question independent study on FDA reconstructability, AI accountability, and schema-validated decision logs.

Research repository by Xufen Tu exploring human judgment, decision architecture, and responsibility structures in complex AI-mediated systems.

Velocity Architecture Framework™ — decision-first architecture framework for enterprise architecture, solution architecture, governance, and AI-assisted delivery.

Canonical AI governance standards library and terminology registry for Behavioral AI Governance and Execution-Time Governance systems.

Reference implementation for the Registered Probative Object (RPO) — deterministic evidential bundle (sealed JSON + preview + public hash)

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.

Example Registered Probative Objects (RPO) generated by the OpenProof deterministic simulator.

OpenProof — Probative infrastructure standard Registered Probative Object (RPO): sealed JSON + human-readable PDF + public hash. Specification + reference demonstration.

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.

Traceable LLM gate / profile / decision governance reference architecture.

Board-ready executive intelligence surface for sequencing remediation owners, dependencies, timing, and recoverable value across the Kinetic Gain suite.

AI verification reference architectures for claims, decisions, traces, and evidence.

DecisionOps — Engineering Decision Governance System ADR lifecycle management with FSM-enforced status transitions, immutable versioning, quality gates, audit trail, revisit engine, and Postgres full-text search. Built to demonstrate governance-first system design, not CRUD.

Public, governed documentation for Keon Systems. Defines claims, architecture, and verification paths for governing AI and automated decisions.