In the era of “vibe coding,” software isn’t meticulously engineered line by line—it’s generated, prompted, and assembled by AI systems moving at the speed of thought. This shift is accelerating development, but it’s also undermining the foundations on which security architecture was built.

When code is probabilistic, ever-evolving, and authored by machines, how do we uphold the principles of secure by design? How do we ensure intent, structure, and accountability when human authorship is no longer guaranteed?

This session tackles the hard questions:

1. What are the risks introduced by and inherited from AI?
2. How do you set security controls when your developer is an LLM?
3. What does threat modeling look like in an AI-native world?