The Segment

AI Doesn't Break Security. It Exposes It. | Jason Garbis

Episode Notes

Most security breakthroughs don't come from new technology, they come from finally getting the basics right. As AI accelerates both attacks and the pace of vulnerability disclosure, the organizations that fare best aren't the ones chasing the next big thing, but the ones with the visibility, governance, and segmentation to absorb the shock.

In this episode, Raghu Nandakumara sits down with Jason Garbis, founder and CEO of Number Line Security and co-chair of the Zero Trust Working Group at the Cloud Security Alliance, to explore what Zero Trust looks like when threats evolve at machine speed.

Jason draws on his path from early software-defined perimeter work to leading Zero Trust strategy at the Cloud Security Alliance, sharing why "right-sizing" a Zero Trust initiative matters more than chasing sweeping transformation, and why even a well-built security capability fails without genuine buy-in from the business. 

The conversation then turns to AI's effect on the threat landscape: the surge of vulnerabilities and patches enterprises now have to absorb, the widening gap between attacker speed and defender response, and why segmentation remains one of the most effective ways to shrink the blast radius of an attack.

Raghu and Jason discuss:

Jason closes with his go-to way of explaining Zero Trust to non-technical stakeholders: an analogy involving brakes, oil, and seat belts that reframes security as a shared responsibility rather than a roadblock.

Resources Mentioned:

Zero Trust Security and Enterprise Guide

 

Stay connected with our host Raghu on LinkedIn

For more information about Illumio, check out our website at illumio.com