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ProtocolReferenceA2AMCPAGENT-PROTOCOL
ai-safe2-framework
by CyberStrategyInstitute
GRC-driven A2A protocol and OS for secure, auditable agent swarms
Python
Updated Sep 4, 2026
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Overview
Provides a governance-first operating system for agentic AI that combines a universal GRC model with an A2A messaging protocol (A2A messaging protocol). Implements policy, risk and compliance controls alongside protocol-level primitives for non-human identities and swarm governance. Includes maturity models (AISM), governance workflows (FORGE-Act), and a dual-license reference implementation for secure inter-agent communication (secure inter-agent communication).
Why It Matters
As agents coordinate and delegate, governance and a common messaging contract become essential to reason about trust and risk. This project surfaces audit-ready controls, maturity models, and an agent-to-agent evaluation protocol so organizations can evaluate agent behavior against compliance and security requirements. Until now most agent frameworks focused on orchestration; embedding GRC and protocol semantics makes agent-to-agent evaluation and reproducible trust signals practical.
Ideal For
Security, compliance, and governance teams designing auditable agent-to-agent communication and trust workflows for production or research.
How It's Used
- Define and enforce compliance and risk policies for autonomous agents in a distributed system
- Establish protocol-level audit trails and identity controls for agent-to-agent communications
- Evaluate agent behavior against a sovereignty maturity model (AISM) and generate governance reports
Topics
a2aa2a-mcpa2a-protocolagentic-aiagentic-ai-swarmsai-governanceai-safe2ai-safetyai-securitycompliance+6 more
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Keywords
multi-agent trusta2a evaluationagent governanceagent-to-agent evaluation