PyRIT
By Microsoft
PyRIT, the Python Risk Identification Tool for generative AI, is an MIT-licensed Microsoft project for proactive AI risk testing. Its framework composes targets, prompt datasets, converters, attack strategies, memory, and scoring so security teams can run and reproduce adversarial assessments.
Verified Sources: github.com, microsoft.github.io
- Product type
- Community project
- Deployment
- CLI
- Organization size
- IndividualSMBMid-marketEnterprise
- Pricing tier
- Free
AI security profile
Microsoft's open-source Python Risk Identification Tool orchestrates adversarial prompts, targets, converters, and scoring for repeatable generative-AI risk testing.
Capability checklist
AI Red TeamingHow PyRIT measures up against the full AI Security Testing & Model Assurance taxonomy.
- AI red teaming — supported
- Runs adversarial tests against models and applications to uncover exploitable or unsafe behavior.
- Prompt-injection testing — supported
- Tests whether untrusted instructions can override intended system behavior or controls.
- Jailbreak & safety testing — supported
- Evaluates resistance to policy bypasses, harmful outputs, and other unsafe behaviors.
- Model artifact scanning — not supported
- Inspects model files and serialized artifacts for malicious code, tampering, and unsafe components.
- AI supply-chain assurance — not supported
- Tracks model provenance, dependencies, integrity, and risk before deployment.
- Continuous AI evaluation — supported
- Repeats security tests as models, prompts, tools, data, and application behavior change.
Alternatives
Other AI Security Testing & Model Assurance tools with overlapping capabilities, sized for similar teams.
Head-to-head comparisons
Source-linked comparisons featuring PyRIT.