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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

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Manage episode 516130920 series 2408745
Contenuto fornito da Chris Romeo and Robert Hurlbut, Chris Romeo, and Robert Hurlbut. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Chris Romeo and Robert Hurlbut, Chris Romeo, and Robert Hurlbut o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

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: https://www.youtube.com/@ApplicationSecurityPodcast

Thanks for Listening!

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

  continue reading

320 episodi

Artwork
iconCondividi
 
Manage episode 516130920 series 2408745
Contenuto fornito da Chris Romeo and Robert Hurlbut, Chris Romeo, and Robert Hurlbut. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Chris Romeo and Robert Hurlbut, Chris Romeo, and Robert Hurlbut o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

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: https://www.youtube.com/@ApplicationSecurityPodcast

Thanks for Listening!

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

  continue reading

320 episodi

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