10 articles
How does the AI know when to say 'No'? In this lesson, we look at the invisible police force of AI—Safety Filters and Guardrails—that prevent harm while sometimes causing frustration.
Learn how to implement comprehensive guardrails for AI agents through input/output validation, safety mechanisms, and human oversight. Prevent data leaks, prompt injections, and hallucinations while ensuring secure enterprise adoption.
The safety net. Learn the core concepts of AI Guardrails—external security layers that monitor and control the flow of text into and out of an LLM.
The programmable barrier. Learn about NVIDIA's NeMo Guardrails architecture and how to define 'Colang' flows to control AI dialog.
Breaking the muzzle. Learn the techniques attackers use to bypass AI guardrails (obfuscation, translation, multi-turn) and how to harden your defenses.
Setting the Safety Net. How to use AWS Bedrock Guardrails to filter sensitive content and block inappropriate prompts.
Hands-on: Implement a Bedrock Guardrail and verify your grounding instructions.
Managing the perimeter. Using specialized nodes to filter inputs and validate final results.
Hardening the persona. Using system prompts as a defensive layer to prevent 'Jailbreaking' and off-topic conversations.
Hands-on: Combine system prompts, JSON mode, and negative constraints to build a production-ready data extractor.