PROJECT BRIEF / 02
Make AI safety testable
PyRIT red-team demo
The context
AI safety becomes more useful to customer teams when it can be inspected, discussed, and tested. This demo makes risk identification visible through several hands-on interfaces.
The approach
- Offer notebook-based exploration of model safety testing.
- Generate a static report to make evaluation results reviewable.
- Use a live dashboard to explore supported model and multimodal scenarios.
- Keep the underlying PyRIT framework and Azure model prerequisites explicit.
The leadership connection
A practical approach to responsible AI enablement: make the testing process understandable and give teams evidence to review.
What to look at
Choose an interface
Start with the notebook, report generator, or live dashboard.
Inspect the evaluation
Review scoring and test limitations, not just a blocked or bypassed label.
Use with authorization
Test only models and environments you are authorized to assess.
Continue exploring