prompt-injection-defense

Protect LLM applications from prompt injection attacks by validating and sanitizing user-provided inputs at all trust boundaries to prevent malicious manipulation of AI behavior.

The best way to sanitize inputs for AI agents is to enforce structured validation, implement allowlists, and separate instructions from data before processing external content.

Prompt validation defends against malicious manipulation by checking inputs for potential malicious intent, mapping injection points, and rating risks to identify threats before processing.

Yes, input validation scripts are applicable across diverse AI systems where user-provided content or external data is processed, ensuring structured validation of inputs and outputs.

Test prompt injection defenses by verifying your security hardening measures against common injection payloads, logging agent actions, and setting up alerts for suspicious patterns.

Separating instructions from data is a required defense strategy to prevent external content from overriding system prompts and manipulating AI tool calls or agent behavior.