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Design Patterns for Securing LLM Agents Against Prompt Injection
Chris Harper
1 min read
May 30, 2026
AI
Best Practices
LLM
A new arxiv paper (2506.08837) proposes principled design patterns for building agents with provable resistance to prompt injection — a critical threat when agents have tool access or handle sensitive data. Key patterns: the code-then-execute pattern (LLM writes code that runs on untrusted data, rather than directly acting on it) and context minimization. The paper concludes no single pattern suffices — use combinations.
Sources: ArXiv Abstract