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Prompt Injection Defense: Input Sanitization, Guardrails, Permissions, and Monitoring

DEV Community·丁久·21 days ago
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This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Prompt Injection Defense: Input Sanitization, Guardrails, Permissions, and Monitoring Prompt injection is the most critical security vulnerability for LLM applications. Unlike traditional injection attacks, prompt injection targets the model's instruction-following behavior rather than exploiting code execution. Here is a defense-in-depth approach to protecting your AI application. Understanding the Threat Prompt injection comes in two forms. Direct injection happens when a user deliberately crafts input to override system instructions. Indirect injection happens when untrusted content from external sources, like retrieved documents or web pages, contains malicious instructions.…

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