Design Patterns for Securing LLM Agents Against Prompt Injections
14 days ago
- #Prompt Injection
- #AI Security
- #LLM Agents
- AI agents powered by Large Language Models (LLMs) face security challenges, particularly prompt injection attacks.
- Prompt injection attacks exploit the agent's reliance on natural language inputs, posing risks when agents have tool access or handle sensitive data.
- The paper proposes design patterns for building AI agents with provable resistance to prompt injection.
- The design patterns are analyzed systematically, discussing trade-offs between utility and security.
- Real-world applicability is demonstrated through case studies.