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AI & Machine Learning · Foundational

Guardrails

Controls that constrain AI inputs and outputs to keep behavior safe, on-topic and compliant.

Definition

Guardrails include content filters, denied topics, PII redaction, prompt-attack detection, grounding checks, output validation and tool permission limits. Implementations include Amazon Bedrock Guardrails, Azure AI Content Safety, NVIDIA NeMo Guardrails and Salesforce Einstein Trust Layer.

Exam tip

Guardrails are defense in depth; they complement, not replace, least privilege and human review.

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