Data Security
In an era where digital tools manage everything from cherished family photos to sensitive business files, a shocking discovery has emerged about Wondershare RepairIt, a popular AI-powered application for data repair and photo editing, raising serious concerns. Researchers have uncovered two severe security vulnerabilities that could potentially
Short introductionI’m thrilled to sit down with Vernon Yai, a renowned data protection expert specializing in privacy protection and data governance. With a deep focus on risk management and innovative techniques for safeguarding sensitive information, Vernon has become a trusted voice in the cybersecurity industry. Today, we’re diving into the
What happens when a tech titan reshuffles its top ranks amid a global race for AI and cloud supremacy? Oracle, a powerhouse in enterprise technology, has just made a seismic shift by appointing two new co-CEOs to steer its ambitions in hyperscale cloud services and artificial intelligence innovation. This strategic pivot, announced on September
Imagine a corporate boardroom where IT leaders grapple with ballooning budgets, driven by an unstoppable force—artificial intelligence. As companies across industries rush to integrate AI into their operations, enterprise software costs are skyrocketing, leaving executives scrambling to balance innovation with financial restraint. This roundup
Imagine opening your browser to download a trusted application, only to find that the top search result leads you straight into a cybercriminal’s trap, a scenario that is becoming alarmingly common for macOS users who are increasingly targeted by a sophisticated cybercrime campaign using fraudulent GitHub repositories to distribute
In an era where cyber threats evolve at an unprecedented pace, the Zero Trust security model has emerged as a critical framework for organizations striving to protect their digital assets in a perimeter-less world. Anchored on the principle of "never trust, always verify," Zero Trust enforces stringent access controls, rigorous identity