madguyevans-creator/Fintech-CUI-Trust-Framework

Our goal is to mutually develop a governance framework that manages the on-boarding, development of, and running AI-based solutions within financial services organisations - allowing us all to unlock the potential of this disruptive technology in a safe, trustworthy and compliant way.

Configurable Multi-layered AI Agentic Safety Framework

The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

The curated list of tools, standards, and resources for governing AI agents in production: policy enforcement, audit trails, EU AI Act compliance, MCP and Claude Code security.

🛡️ A curated list of tools, frameworks, standards, and resources for AI agent governance, safety, and compliance

A practical governance framework for organizations adopting the Model Context Protocol (MCP), the open standard that lets AI agents connect to external tools, data sources, and systems.

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.