IsolateGPT proposes a novel architecture to protect LLM-based systems from security risks when third-party apps interact with sensitive data and system resources.

• Creates isolated execution environments for LLM apps to prevent unauthorized access to user data
• Implements permission systems and context boundaries to control cross-app interactions
• Protects against malicious prompts and prompt injection attacks in multi-app ecosystems
• Demonstrates a practical approach to balance functionality with security in emerging LLM platforms

This research is critical as LLM platforms increasingly support third-party applications, creating new attack surfaces that require dedicated security architectures beyond traditional approaches.

IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems