Neo combines LLM-based agents with code search primitives to detect privilege escalation in polyglot microservices, reporting 81% precision and 85% recall while uncovering 24 zero-day vulnerabilities across 25 applications.
Pitstop: A sample application based on a garage management system for pitstop - a fictitious garage,
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Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
Neo combines LLM-based agents with code search primitives to detect privilege escalation in polyglot microservices, reporting 81% precision and 85% recall while uncovering 24 zero-day vulnerabilities across 25 applications.