Brad Geesaman - Redefining AppSec with AI: Shrinking Toil, Expanding Impact - How LLMs are able to reduce toil in triage-heavy AppSec workflows

Brad Geesaman, Principal Security Engineer at Ghost, joins the podcast today to explore how AI and large language models are transforming the world of application security. The discussion starts with the concept of "toil"—the repetitive, exhausting work that drains AppSec teams as they struggle to keep up with mountains of security findings and alerts. Brad shares his insights on how LLMs can provide meaningful leverage by handling the heavy lifting of triage, classification, and evidence gathering, while keeping humans firmly in the loop for final decisions. They also discuss the seismic shift happening in the AppSec market, with AI-native approaches potentially disrupting traditional security tooling. Listen along to hear more about the future of secure coding and how artificial intelligence might finally give security teams the helicopter view they need to fight fires effectively. FOLLOW OUR SOCIAL MEDIA: ➜Twitter: @AppSecPodcast ➜LinkedIn: The Application Security Podcast ➜YouTube: Thanks for Listening! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Brad Geesaman - Redefining AppSec with AI: Shrinking Toil, Expanding Impact - How LLMs are able to reduce toil in triage-heavy AppSec workflows is an episode from Application Security PodCast by Chris Romeo and Robert Hurlbut.

This episode is 42:19 long.

This episode was published on Oct 28, 2025.

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