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

About this episode

Brad Geesaman discusses how AI and large language models are transforming application security by reducing toil in triage-heavy 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 gat...

People in this episode

Hosts: Chris Romeo, Robert Hurlbut

Guest: Brad Geesaman

Topics covered

• application security
• AI
• large language models
• toil reduction
• triage workflows
• security findings

Keywords

• application security
• AI
• large language models
• toil
• triage
• security alerts
• classification

Mentioned in this episode

Organizations: Ghost

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