Data Sanitization & Disposal
Far from the spotlight that shines on the creation of colossal AI models, the silent, relentless work of inference is where artificial intelligence truly comes to life and delivers its revolutionary promise. While the development of these models captures headlines, the real revolution happens during inference—the operational phase where AI applies
A former employee's desperate attempt to conceal a corporate crime by smashing a MacBook Air, weighing it down with bricks, and sinking it in a river has instead become a stark illustration of the vulnerabilities posed by insider threats and the surprising resilience of digital evidence. This incident at South Korean e-commerce titan Coupang has
We're joined today by Vernon Yai, a renowned data protection expert whose work in privacy and data governance has made him a leading voice on risk management and safeguarding sensitive information. We'll be diving into California's recent crackdown on data brokers, exploring the profound risks of trading personal health data, the mechanics of
A perplexing and significant 37-point chasm has opened up in the landscape of developer sentiment toward AI, a gap that speaks less about the algorithms themselves and more about the foundational stability of the organizations deploying them. Recent developer surveys painted a starkly contradictory picture: one major report found that 70% of tech
In the complex world of enterprise data protection, the integrity of backup software is paramount, serving as the last line of defense against catastrophic data loss from ransomware, hardware failure, or human error. It is with this understanding that the recent disclosure of a critical vulnerability in one of the industry's leading solutions has
A groundbreaking predictive model, developed at a cost of millions and capable of revolutionizing supply chain efficiency, remains confined to a data scientist's laptop, unable to deliver business value. This scenario is increasingly common in enterprises investing heavily in artificial intelligence. The failure point is rarely the model's