Prompt Injection Defense
Prompt injection defense refers to the techniques and strategies used to protect AI systems from prompt injection attacks, where malicious inputs attempt to override the model's original instructions. Defenses operate at multiple layers — from input validation and output filtering to architectural designs that separate trusted instructions from untrusted user content. No single defense is foolproof, so modern approaches use a layered "defense-in-depth" strategy combining probabilistic and deterministic mitigations.
Example
A company deploys three layers of defense for its customer service chatbot: an input filter that scans for known attack patterns, a system prompt that explicitly instructs the model to never reveal its instructions, and an output filter that blocks responses containing sensitive internal information — even if an attacker bypasses the first two layers.
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