AI red teaming is a critical practice for identifying vulnerabilities in machine learning models and applications, but it requires collaboration across a diverse set of experts, including AI engineers, cybersecurity professionals, data scientists, ethical AI researchers, and domain specialists. This session explores the unique perspectives and skills each group brings to the table and highlights the challenges of aligning these diverse teams to secure AI systems effectively. Attendees will learn how to foster cross-disciplinary collaboration, upskill team members in adversarial AI techniques, and leverage tools and frameworks to make AI security accessible to all stakeholders. Real-world examples will demonstrate how diverse expertise in AI red teaming can uncover vulnerabilities and ensure systems are secure, ethical, and resilient.