Data Loss Prevention | Breaking Cybersecurity News | The Hacker News

Insider risk used to be the line item nobody fought for in the security budget. That's changed. The annual cost of insider incidents at $19.5 million per organization - and that number keeps climbing. Money like that has pulled a lot of vendors into this space, and "insider risk management" now covers a wide range of products: some are barely more than activity logs with a dashboard, others are genuinely sophisticated. The label doesn't tell you much on its own. As National Insider Threat Awareness Month comes to a close, it's worth looking at how we evaluate the technical landscape. Here's what actually separates a platform worth buying from one that just looks good in a demo. Does it actually see the whole picture? People don't cause problems in one place. They email something from a personal account, then upload a file to a cloud drive, then plug in a USB stick two weeks later. If your platform only watches one of those channels, you're not ma...

When generative AI tools became widely available in late 2022, it wasn't just technologists who paid attention. Employees across all industries immediately recognized the potential of generative AI to boost productivity, streamline communication and accelerate work. Like so many waves of consumer-first IT innovation before it—file sharing, cloud storage and collaboration platforms—AI landed in the enterprise not through official channels, but through the hands of employees eager to work smarter. Faced with the risk of sensitive data being fed into public AI interfaces, many organizations responded with urgency and force: They blocked access. While understandable as an initial defensive measure, blocking public AI apps is not a long-term strategy—it's a stopgap. And in most cases, it's not even effective. Shadow AI: The Unseen Risk The Zscaler ThreatLabz team has been tracking AI and machine learning (ML) traffic across enterprises, and the numbers tell a compelling story. In 2024 ...