Microsoft's AI Red Teaming Agent, integrated with Arize AX, offers a comprehensive approach to enhancing AI security by simulating adversarial attacks and identifying vulnerabilities in AI models. This method moves beyond traditional security testing by focusing on whether AI systems can be manipulated into generating harmful content, covering risk categories such as violence, sexual content, hate, and self-harm. Arize AX adds value by providing observability and evaluation, which allows attacks to be traced, weak points identified, and security improvements to be quantified. The process involves creating a feedback loop where attack data is used to optimize AI prompts, thereby enhancing the AI's defensive capabilities. By automating prompt optimization, the system continuously evolves to counter new attack strategies, resulting in AI models that are progressively safer and more trustworthy. This integrated workflow, emphasizing prompt optimization and continuous monitoring, ensures that AI systems not only withstand adversarial attacks but also improve over time, reinforcing Microsoft's commitment to responsible AI deployment.