Agentic AI is changing how software behaves — introducing autonomous agents that act, adapt, and make decisions in real time. But most identity and access models weren’t built for non‑human actors operating continuously at runtime.

Join IBM and HashiCorp experts to explore how organizations can securely deploy and operate agentic AI workloads by modernizing identity, secrets, and access management across hybrid and multicloud environments.

This session dives into runtime identity challenges unique to agentic systems — and how platform and security teams can regain control without slowing innovation.

What This Session Covers

• Why traditional IAM breaks down for agentic AI and autonomous workloads
• The identity, secrets, and access gaps introduced at AI runtime
• How to enforce least‑privilege, dynamic access for AI agents and the systems they touch
• Patterns for securing machine‑to‑machine and agent‑to‑infrastructure interactions
• How IBM + HashiCorp enable secure agentic execution across hybrid and multicloud environments

Who should attend: Security and Identity Architects, Platform Engineering and Cloud Infrastructure leaders, DevOps and SRE teams supporting AI workloads, IT and Security leaders preparing for agentic AI adoption