PFI: Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
PFI (Prompt Flow Integrity) is a security framework aimed at protecting Language Model (LLM) agents from privilege escalation attacks. It works by isolating the agents into trusted and untrusted components, ensuring that the trusted agent only processes trusted data while limiting the capabilities of the untrusted agent. This differentiation protects sensitive user data even if the untrusted agent is compromised.
Key Features:
- Agent Isolation: Separates the processing of trusted and untrusted data, reducing risk.
- Policy Management: Allows developers to define trustworthiness and access privileges through customizable policies.
- Data Tracking: Monitors data flow between agents and raises alerts for unsafe interactions.
- Benchmarking: Provides evaluations against established benchmarks like Agentdojo and AgentBench for effectiveness metrics.
Benefits:
- Enhances security for LLM agents, reducing risks of privilege escalation.
- Implements a clear policy and configuration structure to enforce trust levels.
- Enables better performance evaluation compared to traditional approaches, achieving a 10x higher secure-utility rate.
This framework is especially useful for developers and researchers looking to secure LLM applications.