macOS Vulnerability Research

Olivia Gallucci, Security Engineer, Datadog, speaks at [un]prompted 2026 on: macOS Vulnerability Research: Augmenting Apple's Source Code and OS Logs with AI Agents. Have you ever wondered how macOS and iOS work under the hood? While Apple is known ...

Olivia Gallucci, Security Engineer, Datadog, speaks at [un]prompted 2026 on: macOS Vulnerability Research: Augmenting Apple's Source Code and OS Logs with AI Agents.

Have you ever wondered how macOS and iOS work under the hood? While Apple is known for its closed ecosystem, did you know that significant portions of macOS and iOS are open source, including security components? For researchers, learning how to analyze and exploit this open-source code, especially with the help of AI, is a game-changer. This talk walks through how we can operationalize Apple's partial open-source codebase for offensive security: specifically, through the lens of reverse engineering, fuzzing, and vulnerability discovery. We'll cover how to integrate generative AI and AI tooling into a workflow for automating the triage of open-source diffs, identification of code changes with high exploit potential, and prioritization of fuzzing targets within the shared macOS/iOS codebase.