Prompt Injection

Learn how prompt injection attacks exploit AI models by mixing untrusted text with system policy, causing models to follow attacker instructions.

Learn prompt injection basics with 8 examples. Simulate poisoned tool results, spot override language, isolate untrusted text, and validate tool arguments.

Validate agent output with Pydantic (Python) or Zod (TypeScript) to prevent malicious actions. Learn to define schemas, parse JSON, and handle validation errors.

Discover off-the-shelf guardrail libraries and content-filtering layers to secure agent inputs and outputs against prompt injection attacks.

Learn ten best practices for isolating, validating, and monitoring against prompt injection, covering threat modeling, isolation, and filtering.