0Pricing
AI Agents with LangChain & Autonomous Workflows · Lesson

Guardrails & Safe Agent Behavior

Implement practical safety guardrails for AI agents — input and output validation, content filtering, and constrained tool access — to prevent harmful or unintended actions.

From Ethics to Engineering

Ethical principles need enforcement in code. Guardrails are the concrete controls that keep an agent within safe, intended boundaries at runtime.

They act on three points: the input, the model's reasoning, and the output or actions.

Input Guardrails

Check user input before it reaches the agent. Catch:

  • Prompt-injection attempts
  • Requests for disallowed topics
  • Personal data that should be redacted

All lessons in this course

  1. Ethical Considerations in AI Agents
  2. Bias, Fairness, and Transparency
  3. Emerging Trends & Research
  4. Guardrails & Safe Agent Behavior
← Back to AI Agents with LangChain & Autonomous Workflows