domains / families / security / implementing-llm-guardrails-for-security

implementing-llm-guardrails-for-security

separate

'Implements input/output validation guardrails for LLM applications using

When to use

• Deploying a new LLM-powered application that processes user input and needs input/output safety controls
• Adding content policy enforcement to an existing chatbot or AI agent to comply with organizational policies
• Implementing PII detection and redaction in LLM pipelines handling sensitive customer data
• Building topic-restricted AI assistants that must refuse off-topic or disallowed queries
• Validating that LLM responses conform to expected schemas before they reach downstream systems or users
• Protecting RAG pipelines from indirect prompt injection in retrieved documents

When not to use

• Replacement for proper authentication
• Replacement for authorization controls
• Replacement for network security controls
• Real-time content moderation of user-to-user communication without LLM involvement

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