Google has announced that its experimental AI model, Big Sleep, has independently discovered 20 previously unknown software vulnerabilities across major platforms. The vulnerabilities include memory corruption bugs, improper access control mechanisms, and buffer overflows, which could have been exploited by malicious actors to execute remote code or gain unauthorized system access.
The affected software platforms have not yet been fully disclosed due to ongoing patch rollouts, but Google has notified the respective vendors and patches are expected to be deployed in the coming weeks. Big Sleep is part of Google’s effort to automate vulnerability discovery using AI and machine learning, scanning massive codebases using natural language processing and symbolic reasoning.
The discoveries highlight the model’s potential to safeguard systems at scale, and experts are calling for broader collaboration in integrating AI into vulnerability management. One AI model can uncover significant flaws, imagine what a network of such models can achieve globally. Google’s Big Sleep initiative may redefine vulnerability research and leave a profound impact on digital infrastructure protection.
As the tech giant emphasizes, none of the 20 vulnerabilities have yet been exploited in the wild. However, the disclosure is a signal to software developers worldwide to reinforce security protocols and implement AI-driven code analysis in their development pipelines.
Source: https://the420.in/google-big-sleep-ai-finds-20-critical-software-vulnerabilities