This research introduces Prompt Flow Integrity (PFI), a security framework designed to prevent malicious actors from exploiting LLM agents.

• Identifies unique vulnerability where LLM agents can be manipulated through natural language prompts
• Demonstrates how attackers can bypass current security controls through privilege escalation
• Proposes a comprehensive defense mechanism to validate prompt flows between LLMs and plugins
• Provides practical implementation recommendations for securing AI agent architectures

As organizations increasingly deploy LLM agents with plugin capabilities, this research addresses critical security gaps that could otherwise lead to unauthorized access, data exfiltration, and system compromise.

Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents