AWS Certified AI Practitioner AIF-C01 Practice Question

Prompt hijacking (often called prompt injection) occurs when a user supplies specially crafted input that convinces the model to ignore or overwrite the developer-provided system prompt. If successful, the attacker can make the chatbot reveal sensitive information, perform unintended actions, or deliver unapproved content. Data poisoning relates to corrupting the model's training data, not runtime instructions. Model underfitting and vanishing gradients are training issues, not security threats that arise from user input during inference. Therefore, preventing prompt hijacking-by techniques such as input sanitization, instruction hierarchy, or output validation-is the relevant concern in this scenario.