Rethinking MFA for Non-Human Identities: Securing Workloads, Agents, APIs, and more

AI agents are quickly becoming a new interface to your most sensitive systems—calling APIs, accessing data, and taking actions on behalf of users. But there’s a problem:

MFA doesn’t translate to agents.

There’s no prompt to approve. No user to challenge. And once an agent has access, it often operates with persistent, reusable credentials that are easy to steal, replay, or misuse. In many cases, that access is granted once and trusted far too long, with little visibility into how it’s actually being used.

In this webinar, we’ll explore what “MFA for AI” actually means—and why securing autonomous workflows requires a fundamentally different approach to identity and access.

We’ll cover:

• Why traditional authentication and MFA break down for AI agents
• How agents access APIs, tools, and data—and where the risks emerge
• What it takes to verify not just who authorized an action, but what is executing it
• How to secure agent-driven workflows with stronger identity signals and enforcement

We’ll also walk through a live demo showing how to secure agent access in practice—ensuring every action is tied to verifiable identity, trusted execution, and enforceable policy.

Join us on June 30th 9am PT/ 12pm ET for a practical session designed for security, platform, and engineering teams building or securing AI-powered systems. Learn how to move beyond traditional MFA—and start securing the next generation of access.