What does it mean to secure the world's largest hyperscale cloud, while AI rewrites the rules of identity, threat detection, and security culture? In this episode of AWS Executive Insights: Security Series, Clarke Rodgers sits down with Amy Herzog, Chief Information Security Officer at AWS, for a candid conversation on what it takes to lead security at scale in the age of AI.

Amy draws on her experience leading consumer AI products to argue that security should accelerate innovation, not hinder it. She explores how AWS is deploying AI for defense, why agentic AI demands a rethink of identity, and how the Security Guardians program embeds security culture across the entire organization.

What distinguishes organizations that capture real value from AI from those still experimenting?

In this episode of AWS Executive Insights, Roger Premo, Global Head of Strategy at IBM, breaks down the practical lessons behind IBM’s own AI transformation. From embedding generative AI into everyday workflows to codifying an agentic development lifecycle, IBM has paired leadership commitment with disciplined execution to drive measurable results.

Premo discusses how hybrid cloud architecture enables agents to access data across heterogeneous environments, why data product management is now a business imperative, and how governance must be built into AI systems from the start. This essential discussion offers leaders a framework for moving beyond isolated pilots and building scalable, secure, and value-driven AI capabilities. Thank you to IBM for their partnership and participation in this discussion.

Every major technology shift follows a familiar arc: from uncertainty to trust to scale. Erin Kraemer, Senior Principal Technical Product Manager for AWS Agentic AI, draws on her experience at AWS to explore how agentic AI is progressing along that curve today.

The discussion highlights why observability and guardrails matter, how teams build confidence over time, and what leaders can do now to prepare for greater autonomy.