As AI tools rapidly make their way into the enterprise, security teams face a difficult challenge: enabling employees to take advantage of AI without exposing sensitive data, creating new security risks or allowing costs and usage to spiral out of control. And organizations that don’t provide employees with secure ways to use AI may find themselves confronting another problem: shadow AI.
Cloudflare faced these same challenges as it expanded AI access across its own organization. Rather than waiting for the answers, Cloudflare became “customer zero,” using its own environment to understand the risks, develop the necessary security and governance controls, and ultimately build an open platform for securing AI workloads.
In this webinar, Todd Murray, Manager of Cloudflare One Specialist Solutions Engineering, joins The Register to discuss Cloudflare’s internal AI adoption journey, the security and operational challenges its teams encountered along the way, and how those experiences led to the development of its AI Gateway, MCP Server Portals, Cloudflare OS, and AI vulnerability harnesses. We’ll also explore what enterprises can learn from Cloudflare’s experience as they look to adopt AI securely, apply Zero Trust principles to AI usage, and build a foundation capable of supporting the next generation of AI applications and agents.