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ai-governance

Self-hosted MCP gateway. Connects Claude, ChatGPT, Codex and other AI agents to Jira, GitLab, Notion, Google Workspace and 25 more tools. Pre-integrated, GDPR-ready, with PII sanitization, write-safety, and audit logging.

Zero-trust Governance & Control Plane for Autonomous AI Agents in Financial Services - powered by OPA, Redis, Node.js, Python LangGraph, gRPC, Qdrant Vector DB, and React.

AuthorityCore is an open-source AGPL 3.0+ focus-oriented AI governance and reliability framework designed to improve long-horizon task execution by reducing possibility space, enforcing objective contracts, and ensuring jurisdiction-aware, evidence-based, and fully traceable workflows under continuous human oversight. https://roxanneardary.com/authoritycore/

Educational study guide for the IAPP Artificial Intelligence Governance Professional (AIGP) certification, including exam domains, learning notes, glossary, study roadmap, and preparation resources.

VeritasChain is an open specification for evidence-based causal intelligence that enables AI systems to trace the relationships between decisions, laws, economic changes, technological developments, and historical events. It provides a modular framework for understanding why outcomes occur by connecting verified evidence, long-term timelines, and explainable causal analysis across industries and institutions. https://roxanneardary.com/veritaschain/

BrandFabric is an open-source AI governance platform that helps organizations maintain brand identity, creative consistency, and control across generative AI workflows. It provides an intelligent layer for managing brand knowledge, creative standards, content compliance, and AI-generated assets while enabling transparent, self-hosted, and vendor-independent AI governance.

Blockchain Computer is the sovereignty layer for blockchain and AI, making identity, consent, privacy, and governance native to computation.

Stratum is an AI governance layer for MCP systems that sits between model intent and tool execution. It enforces permissions, policies, context controls, approval workflows, sandboxed execution, and audit logging to ensure every action taken by an AI system is authorized, traceable, and constrained by explicit rules before it runs.

AIPolicy Web Standard - Open initiative for machine-readable AI governance

Context Composition Notation – Open standard for AI system architecture documentation