Exercise 06: AI-enhanced red teaming
Scenario
As AI models become more sophisticated and are integrated into various applications, it is crucial to ensure their security and reliability. Red teaming is a proactive approach to identify vulnerabilities and weaknesses in AI systems by simulating real-world attacks and adversarial scenarios. By conducting red teaming exercises, organizations can uncover potential risks, assess the robustness of their AI models, and implement necessary safeguards to mitigate threats. This is especially important for Zava, as they want to ensure that their multimodal AI shopping assistant is secure and trustworthy for their customers.
Objectives
After you complete this exercise, you will be able to:
- Use the AI Red Teaming Agent to run automated scans against your AI models
- Analyze scan results and identify potential vulnerabilities
- Develop custom attack prompts and strategies for red teaming exercises
Duration
- Estimated Time: 40 minutes