As organizations rapidly adopt generative AI and emerging technologies, security leaders face a critical challenge: enabling innovation while managing risk. Traditional approaches to security and risk management are being tested by AI's unique characteristics and far-reaching business impact. The solution may not lie in complex new organizational structures like "fusion centers," but rather in a more fundamental reimagining of how we approach security governance. Enter the Five Cs framework – a pragmatic approach that bridges the gap between innovation and security without creating additional organizational complexity. - Clarity: Develop clear, documented risk and compliance policy with guidance on AI, industry and government regulations, procedures, and accountability - Collaboration Foster collaboration between security and risk management and business stakeholders -Controls Build adaptable, centralized systems (security controls and protocols) that scale and enhance business transformation (versus hinder it) -Continuity Implement processes for continuous risk and compliance management to meet evolving governance requirements for innovation (AI) and regulations -Culture Strengthen the security-aware mentality across the business and suppliers and establish ownership of cyber risk management Drawing from real-world implementations, we'll demonstrate how security leaders can create a robust foundation for secure AI adoption without sacrificing agility or innovation. Why organizations need to rethink GRC in the era of AI. What are the new compromise vectors being introduced by AI. How to triage risk with people, process, and technology.