Context Injection

Context injection is a technique where external information or prompts are dynamically inserted into AI model inputs to influence outputs without modifying the model's core parameters. This practice is critical for governance because it can improve model behavior and safety, but also introduces risks if malicious actors inject harmful instructions that bypass intended safeguards. Organizations must establish clear policies around who can inject context, what content is permissible, and how to audit these injections to maintain transparency and prevent prompt-based attacks.

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