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Training Camp • Cybersecurity Glossary
AI guardrails are controls that constrain LLM inputs and outputs to block harmful content, prompt injection, and data leakage.
AI Guardrails Definition: AI guardrails are controls that constrain LLM inputs and outputs to block harmful content, prompt injection, and data leakage.
AI guardrails are the policies, filters, and technical controls that constrain how an AI system, especially a large language model, behaves and what it is allowed to output. They enforce safety, compliance, and brand boundaries by validating inputs and outputs to block harmful content, prompt injection, data leakage, and off-topic responses. Guardrails can operate at the model, application, or proxy layer and are central to responsible generative AI deployment.
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