Artwork

Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Unpacking Generative AI Red Teaming and Practical Security Solutions

51:53
 
Share
 

Manage episode 465172457 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

Full transcript with links to resources available at https://mlsecops.com/podcast/unpacking-generative-ai-red-teaming-and-practical-security-solutions

In this episode, we explore LLM red teaming beyond simple “jailbreak” prompts with special guest Donato Capitella, from WithSecure Consulting. You’ll learn why vulnerabilities live in context—how LLMs interact with users, tools, and documents—and discover best practices for mitigating attacks like prompt injection. Our guest also previews an open-source tool for automating security tests on LLM applications.

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

51 episodes

Artwork
iconShare
 
Manage episode 465172457 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

Full transcript with links to resources available at https://mlsecops.com/podcast/unpacking-generative-ai-red-teaming-and-practical-security-solutions

In this episode, we explore LLM red teaming beyond simple “jailbreak” prompts with special guest Donato Capitella, from WithSecure Consulting. You’ll learn why vulnerabilities live in context—how LLMs interact with users, tools, and documents—and discover best practices for mitigating attacks like prompt injection. Our guest also previews an open-source tool for automating security tests on LLM applications.

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

51 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play