Probably Secure: What We Misunderstand About AI And Determinism Is Making Us Less Secure

Session description

When I say "probabilistic" outcomes, your mind likely jumps to coins or dice. However, probability also lies at the heart of the most significant development in computer science in recent memory: Artificial Intelligence. From classifying pictures of dogs to the probabilistic transformers of Generative AI, it is all based on the concept of "maybe."

GenAI is just another tech....right? Can we safely assume the same tools and mental models we have used for deterministic systems up til now are the best choice for this new world of probabilistic outcomes?

What are the security ramifications of a probabilistic system at scale?

The good news is that many of the rule-based security tools we have been relying on for years are still there to provide us with some safety netting, if we know when to employ them and where AI can best assist us in our mission.

Let's step way back and talk about systems that run on "most likely correct."

Join this talk if your teams are increasingly using AI-assistants and you're trying to figure out how to keep everyone safe. Let's have an interactive conversation about why it's important that you don't treat 'probably' and 'definitely' the same way.