AI-Powered Fuzz Testing Promises Faster Discovery of Hardware Bugs and Security Flaws
• Uses "fuzzing" technique to introduce faulty commands to chips to uncover hardware flaws and potential vulnerabilities • Relies on reinforcement learning algorithm to optimize "fuzz testing" process and discover vulnerabilities faster • Achieved significant speedup in finding hardware bugs compared to traditional testing methods • Automated testing techniques meant to supplement, not replace, manual testing by security experts • Critical to uncover hardware flaws early, as hardware bugs are difficult to patch later on