On-Demand Recording

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

SPEAKER:

Liav Caspi, Co-Founder and CTO at Legit Security

Organizations are changing 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 team 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.

In this webinar, we examine new ways to scan, test and secure both AI-coded applications and the agents that create them.

The discussion covers:

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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