Risks related to autonomous AI and AI safety are increasingly seen as a concern within the tech industry. As more AI applications are developed, there is a need for comprehensive, real-time and adaptive AI safety metrics that encompass ethical usage, user demographics, cyber threats and real-time vulnerabilities. Industry-wide efforts should encompass unified standards, collaboration among various stakeholders and continuous learning and adaptation. Reflecting on safety surveillance practices from other sectors, such as finance and healthcare, could also inform future AI safety efforts.
New Windows 11 (x64) Modern Kernel Race Conditions Uncovered
A race condition vulnerability in Windows 11 (x64) kernel operations, identified as “KernelSyncLeaks,” poses serious security risks, potentially allowing privilege escalation and arbitrary code execution.
