Legit Security

Field CTO

Yogo

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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.
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In this discussion, you&#8217;ll learn:
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<li>How to determine which elements of your code are AI-generated</li>
<li>How to analyze and secure AI-written code without holding up development</li>
<li>How to use AIBOM tools and markers to gain visibility into AI coding agents</li>
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Yoav Golan

Yoav Golan