Chapter 20: Automated Red Team Scanning¶
Overview¶
So I am talking about evaluating, monitoring and managing your agents – but one of the reasons this is so critical is because the jobs they can do now, include working side by side with our own security and compliance and SRE staff. We need to be able to trust them because they are working with us on tasks like Red Teaming – to test the very systems they work on.
Automated scans to empower security professionals and ML engineers to proactively find risks in their generative AI systems faster with integrations of PyRIT into Azure AI Foundry.
Scaling Red Teaming with Automation¶
Manual red teaming provides depth; automated red teaming provides breadth and speed:
- Continuous Testing: Run adversarial tests automatically on every build
- Comprehensive Coverage: Test thousands of attack vectors systematically
- Regression Detection: Catch when mitigations stop working
- CI/CD Integration: Block deployments that fail security thresholds
- Cost Efficiency: Automated testing scales without linear cost increases
PyRIT in Azure AI Foundry¶
Microsoft's Python Risk Identification Toolkit (PyRIT) brings automated red teaming to Azure:
- Built-in Attack Library: Pre-configured jailbreak and prompt injection tests
- Custom Scenarios: Define application-specific adversarial tests
- Azure Integration: Run PyRIT scans directly in Azure AI Foundry
- GitHub Actions: Automate red team testing in your development pipeline
Agents can now help test the systems they work on—but only if we can trust them. Automated red teaming with PyRIT provides the continuous adversarial testing needed to maintain that trust at scale.
Resources and Further Reading¶
Next Steps¶
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