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// 1h agoRESEARCH PAPER
Proteus framework exposes AI agent skill vulnerabilities
Proteus is a self-evolving red-teaming framework that uses grey-box mutation loops to bypass automated auditors in AI agent ecosystems. Research demonstrates it can achieve up to a 90% success rate in breaching sandboxed environments by iteratively refining malicious code to evade detection.
// ANALYSIS
Proteus shifts the focus from simple prompt injection to "adaptive leakage," proving that static auditing is insufficient for securing third-party agent skills.
- –The framework uses a Reason-Mutate operator to evolve code based on structured feedback from auditors and sandbox runtime logs
- –Successfully bypassed high-profile defenses like AI-Infra-Guard and SkillVetter in 40-90% of test cases within five rounds
- –Demonstrates high transferability, with nearly 88% of exploits bypassing multiple different auditor architectures without further mutation
- –Highlights a critical flaw in current agent security: auditors often focus on intent/documentation rather than verifying actual runtime behavioral logic
- –Built on Node.js with MCP support, making it a highly accessible tool for professional security researchers and bug bounty hunters
// TAGS
proteussecurityred-teamingagentllmsafetyevaluationmcp
DISCOVERED
1h ago
2026-05-15
PUBLISHED
1h ago
2026-05-15
RELEVANCE
9/ 10
AUTHOR
Discover AI