AI vs. Apple: Flaws Found Faster Than Reviewed

AI is helping researchers find Apple security flaws faster than Apple can review them. This creates a new challenge for verifying and fixing vulnerabilities. Here's the thing: Artificial intelligence is accelerating the discovery of software weaknesses. This has led Apple to limit how many security reports individual researchers can have open at once, due to a surge in AI-assisted submissions. What's interesting is that while AI makes it easier to find potential flaws, not every report is a genuine threat. Some are theoretical, or based on incorrect AI assumptions. Apple still uses human experts to verify every submission, even though they've started using AI to prioritize reports. A security company called Bynario found over 50 potential macOS vulnerabilities in just three weeks using AI. One example was a flaw in macOS Screen Sharing, which allowed access to protected information with root-level privileges under specific conditions. Apple later fixed this issue. The bottom line: AI is proving to be a valuable tool for security researchers, allowing them to analyze code more efficiently and identify more vulnerabilities. This impacts how quickly and effectively companies like Apple can respond to and fix potential security risks.