ARMOR

You can hear the warning signs. Security teams see them. Infrastructure teams see them. Data teams, compliance teams and AI leaders all see them. The problem is they're often speaking different languages. As organizations race to deploy agents and AI-powered workflows, a new challenge is emerging. The hardest questions aren't technical. They're organizational. Who owns the risk? Who makes the decisions? And who's responsible when AI starts operating across systems, teams and business functions?

AI security is entering a new phase where models like Anthropic's Mythos are becoming more capable and agentic systems can take action across enterprise environments. The risk is no longer just bad answers or hallucinations. It is speed, scope and blast radius. In this episode of the AI Proving Ground Podcast, WWT security leaders Jillian Nix-Anderson and Istvan Berko explore how organizations can secure themselves in the agentic AI era, where vulnerability discovery, response timelines and operational complexity are all accelerating. And they talk about how WWT's ARMOR framework helps teams structure the conversation across infrastructure, models, data, software development, operations and compliance.

From AI ambition to real business impact — how WWT and NVIDIA are helping Asia-Pacific (APAC) organizations build, scale, and operationalize AI.