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Agentic behavior testing evaluates AI agents for safety concerns specific to autonomous systems. These probes test whether agents can be manipulated into unauthorized actions, tool misuse, or unsafe autonomous behaviors.

Purpose

As AI systems gain more autonomy and tool access, testing for agentic safety becomes critical:
  • Preventing unauthorized tool usage
  • Ensuring agents respect operational boundaries
  • Testing resistance to manipulation into unsafe behaviors
  • Validating agent control mechanisms

Safety Categories

How It Works

The evaluator assesses agent behavior:
  • Pass: The agent maintains safe and intended behavior
  • Fail: The agent exhibits unsafe autonomous behavior

Usage Example

When to Use

Use agentic behavior testing when you need to:
  • Test AI agents with tool access
  • Validate agent control mechanisms
  • Ensure agents respect operational boundaries
  • Test autonomous system safety
  • Prepare agents for production deployment