On-Demand Webcast|1 hour

Hard to handle: Securing AI-generated code and the AI agents that write it

In this discussion, you’ll learn:

  • How to determine which elements of your code are AI-generated
  • How to analyze and secure AI-written code without holding up development
  • How to use AIBOM tools and markers to gain visibility into AI coding agents
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Organizations are charging heedlessly into AI-driven code generation without understanding the risks. They don't know which models their developers are using, where MCP servers are being used, or even which pieces of their own code are AI-generated -- or imported from elsewhere.

Development teams may not realize that AI coding agents must be protected from prompt injection, data poisoning or other external influences. Legacy AppSec tools often can't properly analyze AI-generated code, and security teams have scant visibility into the choices made by "black box" AI models.

We'll examine new ways to scan, test and secure both AI-coded applications and the agents that create them.

Event Speakers

Yoav Golan
Field CTO at Legit Security

Yoav is Field CTO at Legit, bringing deep technical expertise to security teams tackling AppSec and AI code security challenges. Previously, he led software engineering teams at Legit, served as a Senior AI Engineer at Aidoc Medical and held R&D leadership roles in the Israel Defense Forces.

Liav Caspi
CTO at Legit Security

Liav is co-founder and CTO with responsibility for both strategy, research and product management. He previously held leadership roles in product management, platform architecture, and engineering Checkmarx, Argus Cyber Security and with the IDF Unit 8200. In his free time, Liav enjoys technology, travel, food and learning new languages.

Mike Shema
Host at Application Security Weekly

Mike Shema hosts the Application Security Weekly podcast.