“The AI Risk Blind Spot: Are General-Purpose Clouds Leaving Your Enterprise Exposed?” from “AI_Cloud Essentials” by pods4.me

AI cloud security is no longer a future concern, it is an urgent enterprise risk hiding in plain sight. In this episode of AI Cloud Essentials, brought to you by CoreWeave, we expose the AI cloud security blind spot most organizations miss and explain why traditional perimeter defenses fail modern AI workloads. If your AI strategy touches proprietary data, models, or business logic, this conversation could save you from costly exposure. In Episode 4, host Ritu Jyoti is joined by James Higgins, Chief Security Officer at CoreWeave, to unpack how AI fundamentally changes the shared responsibility model in the cloud. They explore why AI risk now lives inside the model, the prompt, and the data flows, not just the network, and why AI native infrastructure, governance, and zero trust, data centric security are quickly becoming non negotiable as regulators, attackers, and autonomous systems outpace legacy security tools. In this episode, you’ll learn: Why the shared responsibility model breaks down for AI workloads How prompt injection, data poisoning, and model drift create new security risks Why general purpose cloud security tools fail AI systems How AI native infrastructure changes the security equation The top actions enterprise leaders should take in the next 90 to 180 days Don’t risk your AI models becoming your biggest liability. Learn how to secure AI workloads properly before blind spots turn into breaches.