PyRIT

Meta's set of tools to assess and improve LLM security, including safety benchmarks, prompt injection detection, and output auditing to help evaluate and enhance the safety of large language models.

The security toolkit for LLM interactions, providing prompt injection detection, PII anonymization, content safety auditing, and more to secure production LLM deployments.

A security scanner for LLM agentic workflows. Automatically detects security vulnerabilities, prompt injection risks, and permission violations in agent pipelines before deployment.

An open-source evaluation and testing library for LLM agents providing automated model scanning, bias detection, performance benchmarking, and compliance checks.