Security · 2h ago
AI Agent Security Audit Reveals 24 Vulnerability Patterns Across Major Frameworks
A 90-day audit of 10 AI frameworks including CrewAI and LangGraph uncovered 24 distinct vulnerability patterns in production LLM systems. Over 60% of MCP server implementations lack basic access control on tool execution. The scanner, validated against 80,000 API traces, achieves P50 latency of 22µs per rule evaluation.
Meridian48 take
The findings underscore that AI agent security is still in its infancy, with most frameworks shipping without fundamental access controls—a gap that attackers are likely already exploiting.
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AI Agent Security Audit: From MCP Penetration Testing to LLM Vulnerability Assessment →
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