ARTFEED — Contemporary Art Intelligence

Neo: LLM-Agent Framework Detects Privilege Escalation in Microservices

ai-technology · 2026-05-18

A team of researchers has created Neo, a framework for program analysis that integrates large language models (LLMs) with traditional program analysis techniques to identify privilege escalation vulnerabilities in polyglot microservice architectures. This framework employs an LLM-driven agent to generate analysis plans in real-time, modify code search methods, and confirm semantics. Neo features code search primitives that facilitate scalable exploration across services and languages. It was tested on 25 open-source microservice systems. This research tackles issues related to privilege and permission management that stem from intricate cross-service interactions and varied codebases.

Key facts

  • Neo combines LLMs with classic program analysis.
  • It detects privilege escalation in microservices.
  • The framework uses an LLM-based agent for dynamic analysis.
  • Code search primitives enable cross-service exploration.
  • Evaluated on 25 open-source microservice systems.
  • Addresses complexity in polyglot codebases.
  • Published on arXiv with ID 2605.15569.
  • Focuses on cloud systems' scalability and fault tolerance.

Entities

Institutions

  • arXiv

Sources