Generative AI is revolutionizing content creation, human interaction, and problem-solving by enabling the generation of text, images, music, videos, and code. This boosts creativity and efficiency but also poses serious risks. The ability of generative AI to mimic human-created content on a large scale can be exploited by malicious actors to spread hate speech, share false information, and leak sensitive or copyrighted material. Safeguarding generative AI against exploitation is crucial, as developers work to continually improve security measures in a cat-and-mouse game with exploiters. Red teaming in generative AI involves testing and evaluating AI models against potential exploitation scenarios, similar to military exercises where a red team challenges the strategies of a blue team. This process helps identify vulnerabilities and weaknesses in AI models, leading to the refinement of safety protocols and security measures. Microsoft researchers have recently made a breakthrough in generative AI security with the discovery of a new technique called Skeleton Key, which can breach the defenses of robust AI models. This method manipulates AI models gradually, making it difficult to detect and counteract. By understanding and addressing vulnerabilities like Skeleton Key, the AI community can work towards a safer and more secure AI landscape. Collaboration and transparency among researchers and developers are crucial in building secure AI systems that balance innovation with ethical considerations. As generative AI continues to advance, proactive identification and mitigation of vulnerabilities are essential to ensure the responsible and safe use of these powerful tools.