input-output-guardrails

To prevent prompt injection and redact PII in AI chatbot inputs, apply automated input guardrails that detect malicious prompt injections, enforce length limits, and mask sensitive personal data before the AI processes user messages.

Filtering toxic content and system prompt leakage in AI outputs requires output guardrails that block toxic responses, apply blocklists, redact leaked system prompts, and provide structured fallbacks to ensure safe interactions.

Yes, you can enforce rate limiting and structured logging for AI content generation workflows by integrating a multi-layer guardrails configuration that processes every user message and logs safe fallbacks for subsequent AI responses.

Yes, input and output filtering works with coding assistants, chatbots, and content-generation workflows, applying safety policies across AI interactions to mask sensitive data and block unsafe responses.

To load guardrails configuration and start filtering unsafe AI responses, enable the guardrails in your AI workflow and load the provided YAML configuration file from the assets directory to process user messages.