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Agent Safety Introduction
Implementing Guardrails
Build robust safety mechanisms to protect your AI agents from misuse and failures
Your Progress
0 / 5 completedWhat Are Guardrails?
Guardrails are safety mechanisms that constrain agent behavior to prevent harm. Think of them as runtime checks that enforce boundaries—blocking dangerous inputs, filtering sensitive outputs, limiting actions, and capping resource usage.
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Defense vs. Prevention
Guardrails are defensive mechanisms, not preventive ones. You can't eliminate all risks through perfect prompting or model selection—agents will encounter unexpected inputs and edge cases. Guardrails catch failures at runtime, providing a safety net when things go wrong.
Interactive: Explore Guardrail Types
Click on each guardrail type to understand its purpose and see examples. Notice how different guardrails protect different parts of the agent lifecycle.
Exploration Progress
Explored 0 of 6 guardrail types