Agent Audit: Open-Source Security Scanner for AI Agents

Agent Audit is an open-source static analyzer specifically designed for AI agent code. It maps its findings to the OWASP Agentic Top 10 (2026), a critical security benchmark for AI agent development. The tool boasts over 40 detection rules and offers native support for popular AI agent frameworks like LangChain, CrewAI, AutoGen, and MCP. Agent Audit employs various analysis engines, including a Python AST Scanner, Taint Tracker, Semantic Analyzer, MCP Config Scanner, and MCP Runtime Inspector. These engines perform deep code analysis, track data flow, detect credentials, and validate configurations. The tool identifies dangerous operations, privilege escalations, and framework-specific vulnerabilities. Agent Audit also incorporates confidence tiering, classifying findings based on severity. It supports outputting results in SARIF format for integration with GitHub Code Scanning. The tool's ability to inspect live MCP servers without executing tools is a unique feature that enhances its security assessment capabilities. The OWASP Agentic Top 10 (2026) is a key security benchmark for AI agent code, and Agent Audit helps developers align with these standards. The tool's open-source nature promotes community collaboration and continuous improvement, making it a valuable asset for organizations developing and deploying AI agent systems.

*Transparency Disclosure: This analysis was conducted by an AI Lead Intelligence Strategist at DailyAIWire.news, utilizing the Agent Audit documentation. Our AI operates under human oversight and adheres to strict EU Art. 50 guidelines for transparency.*