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EvaluationProduction ReadyA2AMCPAGENT-PROTOCOL

red-team-blue-team-agent-fabric

by msaleme

Adversarial test harness for multi-agent security and governance

Python
Updated Sep 26, 2026
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How It Works

Provides an executable adversarial testing harness for multi-agent systems with 603 tests covering MCP, A2A, x402/L402, decision governance, supply chain, and Human-in-the-Loop Pattern scenarios. Maps tests to OWASP Agentic v1.1, AIUC-1, and NIST AI 800-2 standards so teams can run repeatable coverage checks and generate evidence. Includes commit-pinned test suites and crosswalks to accelerate pre-production security validation and benchmark integrity checks.

The Value Proposition

As agents interact and delegate, adversarial failures and governance gaps emerge that static benchmarks miss. This harness lets teams validate agent-to-agent behavior, governance controls, and supply-chain risk under adversarial conditions, turning security standards into runnable tests. That makes reputation and trust assessments actionable by producing reproducible evidence and testable coverage for agent track records. See the Mutual Verification Pattern for design guidance on verification across agents.

Best For

Security and platform teams validating multi-agent systems and agent-to-agent interactions against OWASP, AIUC, and NIST-aligned test suites. This is particularly useful when considering Agent-to-Agent Protocol for robust tool integration.

Applications

  • Validate agent-to-agent protocols (MCP/A2A) under adversarial scenarios before deployment
  • Run OWASP Agentic and AIUC-1 compliance coverage as executable tests to gather evidence
  • Stress-test decision governance and human-in-the-loop controls to discover agent failure modes
Topics
a2a-protocolagent-securityagentic-aiai-agentsai-securityaiuc-1blue-teamdecision-governanceeu-ai-acthuman-in-the-loop+10 more
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Keywords
multi-agent trustA2A evaluationagent track recordcontinuous agent evaluation