In today’s interconnected digital landscape, information sharing is a fundamental aspect of business operations. However, the exchange of data comes with inherent cybersecurity risks, making it vital ...

Remote analytics teams handle some of the most valuable assets in modern organizations: customer information, operational ...

You don’t have to look far to see the repercussions of a business’s failure to protect sensitive information. Equifax, Adobe and Target, among many others, have ...

In today’s modern landscape, data privacy and data protection are paramount for educational organizations. There is a growing need for robust data loss prevention (DLP) solutions to protect sensitive ...

Data Privacy Day (or Data Protection Day) is an international event that occurs every year on 28 January. The purpose of Data Privacy Day is to raise awareness and ...

Rich Vibert is the CEO and cofounder of Metomic, a modern, human-centric DLP solution for SaaS and GenAI tools. In 2025, the value of sensitive personal and business information has never been clearer ...

Cloud storage security has become essential as more sensitive personal and business data moves online. While most providers encrypt data at rest and in transit using AES-256 and TLS 1.3, server-side ...

Security teams need continuous visibility and governance that shows where sensitive data resides, who can access it and how ...

Data Protection Remains Top Healthcare Cyber Security Concern** Bridewell’s 2026 report finds data protection tops healthcare cyber concerns yet many organisations report low confidence in their ...

Due to the sensitive – and therefore valuable – patient data they hold, healthcare organisations have long been a highly attractive target of external security threats. That vulnerability was ...

Last week, New Jersey (NJ) lawmakers enacted a new, game-changing privacy law that threatens to ensnare unsuspecting businesses of all sizes that ...

A wide spectrum of data is being shared by employees through generative AI (GenAI) tools, researchers have found, legitimizing many organizations' hesitancy to fully adopt AI practices. Every time a ...