AI models like Mythos are now being used to uncover memory corruption vulnerabilities in firmware and hardware, including a kernel memory flaw in Apple’s M5 chip that powers MacBooks and iPads. This signals a major shift in vulnerability research, as future threats will increasingly target the full technology stack from software to processors and system memory. #Mythos #AppleM5 #MacBooks #iPads #ARM #Apple #Qualcomm #Intel #AMD #Nvidia
Keypoints
- Mythos was used to find and exploit a kernel memory vulnerability in Apple’s M5 chip.
- AI is becoming highly effective at detecting memory corruption flaws.
- Future vulnerability research will extend beyond software into firmware and hardware.
- Chip designers such as ARM, Apple, Qualcomm, Intel, AMD, and Nvidia must build stronger defenses.
- Hardware and firmware flaws are harder to patch than software bugs, making early security design critical.
Read More: https://matthewrosenquist.substack.com/p/cybersecurity-must-prepare-for-ai