Humans First: Adobe's Rule for Building AI Security Tools with John Gillis
Hacker Valley Studio

Humans First: Adobe's Rule for Building AI Security Tools with John Gillis

B2中高级2026年8月19日34分钟
  • 访谈
  • 科技

Imagine how much investigation time your SOC could get back if the busywork just disappeared. Ron sits down with John Gillis, Staff Security AI Engineer at Adobe, who built an in-house AI investigation platform from scratch. John's system runs on more than 30 specialized agents that reason through cases instead of following a script. In one run, that meant over 140 detections investigated in under four hours at an 80 to 85% quality rating. Ron and John dig into the hard lesson that made John rip out his own tooling and rebuild it around function calling, why "humans first" drives every...

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The amount of agents is only going to increase,

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How do you envision the sock to look in the next three years? The amount of agents is only going to increase, but they're going to be progressive in micro and macro scales. The shiny idea is I should be able to turn off the internet,

0:15

but my agents are still working. What is the skill that I should be learning, 2026 and beyond? You have to be able to learn how to see the problems and become a master of learning with AI.

0:28

If you carry that into this new era of what is the tech world, you'll do pretty well. Ooh, what's going on, Hacker Valley fam? Welcome back to the show. It's your host, Ron Eddings. And today we're going to be asking whether AI SOC is genuinely different or just the latest version of a story that security has been told time and time again. Every couple of years, security,

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