How AI Breaks Your Secure Code and How to Fix It?

This one-day seminar explores how AI is changing the secure coding landscape, making it easier to write software faster, but also easier to introduce vulnerabilities that look correct, pass reviews and ship into production.

We will break down the most common security failures caused by AI-assisted development, including insecure defaults, broken authentication and authorization flows, unsafe input handling and incorrect cryptography usage. Through real examples and hands-on exercises, participants will learn how attackers can exploit these weaknesses and how to apply practical defenses: stronger threat modeling, secure coding patterns, crypto best practices, and AI-aware SDLC guardrails that keep teams productive without sacrificing security.