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Imagine a stranger who knows exactly where you’ve been, who you’re interacting with, and even when you sleep—not by intercepting your communication or infiltrating your camera roll, but rather by obtaining the invisible data that accompanies them. This is the spine-chilling reality of metadata: the contextual information that leaves a breadcrumb trail back to users based on frequent behaviors, routines, and engagements. While the debate over digital privacy often surrounds content, it’s the timestamp, geolocation, and device detail data that tells the true story of a user’s life. Coupled with the fact that metadata practices are largely unregulated and misunderstood, malicious threat actors are increasingly recognizing how easy it is to exploit its vulnerabilities. In this article, you will pull back the curtain on the role metadata plays in the advanced digital world—from how it’s

A competitive rush for high-end technology is transforming the world of business. AI-driven tools such as ChatGPT, Microsoft Copilot, Gemini, and Claude are now being extensively used in both conventional and innovative business operations, ranging from HR to R&D and customer services. Since such tools can generate quality work in no time, they are extremely desirable for enhancing both productivity and creativity. But when businesses leverage generative AI (genAI), they must ask a basic question too: Where does the data we feed into these platforms end up, and what are the protections for it? Feeding private corporate data into genAI systems poses severe dangers, ranging from breaches of regulatory compliance and a company's reputation to the unintentional disclosure of important or proprietary business information. As the demarcation line between internal and external AI services is