data loss prevention

New Microsoft Purview innovations for Microsoft Fabric help organizations secure data and accelerate AI adoption. The updates focus on identifying risks, preventing data …

Information moves across cloud platforms, personal devices, and AI tools, often faster than security teams can track it. Proofpoint’s 2025 Data Security Landscape report shows …

Meta has released an open source AI tool called Automated Sensitive Document Classification. It was originally built for internal use and is designed to find sensitive …

In this Help Net Security interview, Sean Cordero, CISO at Zscaler, talks about securing hybrid work and the new challenges it presents to cybersecurity teams. He discusses …

In this Help Net Security interview, Brooke Motta, CEO of RAD Security, talks about how cloud-specific threats have evolved and what companies should be watching out for. She …

Among Gartner’s top predictions are the collapse of the cybersecurity skills gap and the reduction of employee-driven cybersecurity incidents through the adoption of …

Data loss is a problem stemming from the interaction between humans and machines, and ‘careless users’ are much more likely to cause those incidents than …

Organizations are feeling the pressure to rush into generative AI (GenAI) tool usage, despite significant security concerns, according to Zscaler. More than 900 global IT …

It’s always DNS. That’s what the famous internet meme popular among sysadmins says anyway. It’s funny because while clearly, every network issue doesn’t resolve to some funky …

In many cases, senior executives/line-of-business leaders are minimally engaged in their company’s cyber preparedness initiatives — only 33% of CEOs or managing …

New capabilities in Google Workspace will help enterprises improve account and data security, by making unauthorized takeover of admin and user accounts and exfiltration of …

Life sciences companies, including medical device manufacturers, biotech and pharmaceutical companies, are experiencing increasing rates of insider-driven data loss events, …