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About this paper
Ron F. Del Rosario, Klaudia Krawiecka, Christian Schroeder de Witt
Researchers from SAP, ACM, and the University of Oxford provide a comprehensive guide to building secure and resilient Large Language Model (LLM) agents using the Plan-then-Execute architectural pattern. Their work details P-t-E's inherent defense against prompt injection, integrates defense-in-depth security principles, and offers actionable implementation blueprints for frameworks like LangChain, CrewAI, and AutoGen.
Key insights
- The Plan-then-Execute pattern offers inherent architectural resilience against indirect prompt injection by establishing control-flow integrity through upfront planning.
- Robust LLM agent security necessitates a defense-in-depth strategy, combining P-t-E with measures like task-scoped tool access (Principle of Least Privilege) and mandatory sandboxed execution.
- Human-in-the-Loop (HITL) verification is most effective when focused on validating the overall plan (Plan-Validate-Execute) rather than individual execution steps, especially for critical systems.
Summary by alphaXiv.
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