Scaling security with AI: from detection to solution
Dongge Liu and Oliver Chang, Google Open Source Security Team, Jan Nowakowski and Jan Keller, Machine Learning for Security Team The AI world moves fast, so we’ve been hard at work keeping security apace with recent advancements. One of our approaches, in alignment with Google’s Safer AI Framework (SAIF), is using AI itself to automate and streamline routine and manual security tasks, including fixing security bugs. Last year we wrote about our experiences using LLMs to expand vulnerability testing coverage, and we’re excited to share some updates. Today, we’re releasing our fuzzing framework as a free, open source resource that researchers and developers can use to improve fuzzing’s bug-finding abilities. We’ll also show you how we’re using AI to speed up the bug patching process. By sharing these experiences, we…