Autonomous runtime access control: The future of Identity Security is here

The static rules you wrote yesterday won’t stop the identity threats happening now.

Identity security has long relied on admin-time policies and after-the-fact reviews. That model could barely keep up with human identities. It’s breaking under non-human ones. And AI agents—spun up, granted access, and gone again in minutes—bury it entirely.

Adversaries already use AI to chain complex attacks and exploit over-privileged access in seconds. An identity security strategy built on pre-written rules simply can’t move at that speed. The only approach that can is AI that decides and enforces at runtime—continuously, dynamically, and at scale.

In this session, Silverfort and Fabrix Security leaders explore why the security model built on pre-written rules is breaking, what “runtime” actually means, and how real-time, AI-led decisioning becomes the only defense that holds up in the AI era.

You’ll learn how to:

Recognize why admin-time policies and periodic access reviews stopped working—and why non-human and agentic identities break the model entirely
Distinguish true runtime enforcement from detection and response approaches that react after the damage is underway
Reframe the core problem: not how to grant short-lived access, but how to decide whether an identity should have access at all, at machine speed
Use context to turn AI from a coin-flip into a decision-maker you can trust—and break down the silos that keep identity data fragmented
Build trust in autonomous decisions dialed to your company’s unique risk tolerance

If attackers are operating at AI speed, your Identity Security strategy has to decide and enforce access decisions at AI speed, too.