All news with #data loss prevention tag

Browser Security Report 2025: Emerging Enterprise Risks

🛡️ The Browser Security Report 2025 warns that enterprise risk is consolidating in the user's browser, where identity, SaaS, and GenAI exposures converge. The research shows widespread unmanaged GenAI usage and paste-based exfiltration, extensions acting as an embedded supply chain, and a high volume of logins occurring outside SSO. Legacy controls like DLP, EDR, and SSE are described as operating one layer too low. The report recommends adopting session-native, browser-level controls to restore visibility and enforce policy without disrupting users.

JS Bank modernizes with Google stack and ChromeOS rollout

🚀 JS Bank migrated its distributed IT estate to a unified Google ecosystem—deploying 1,500 Chromebooks and Chromeboxes while adopting Google Workspace and Chrome Enterprise Premium. The change delivered nearly 90% endpoint standardization, cut device management time by 40%, and halved daily support tickets. Built-in ChromeOS protections simplified security and reduced reliance on multiple third-party antivirus and anti-malware tools.

Microsoft Purview Study: 30% Reduction in Breach Risk

🔒 The Forrester Total Economic Impact™ study commissioned by Microsoft found that Microsoft Purview reduced the likelihood of data breaches by 30% for a composite organization, yielding more than $225,000 in annual savings from avoided incidents and fines. The report credits unified governance, automated classification, and fine‑tuned DLP policies with a 75% reduction in investigation time and 75% time savings for users searching and classifying data. Over three years the study shows $3.0M in benefits versus $633,000 in costs (NPV $2.3M; ROI 355%).

Rethinking AI Data Security: A Practical Buyer's Guide

🛡️ Generative AI is now central to enterprise work, but rapid adoption has exposed gaps in legacy security models that were not designed for last‑mile behaviors. The piece argues buyers must reframe evaluations around real-world AI use — inside browsers and across sanctioned and shadow tools — and prioritize solutions offering real-time monitoring, contextual enforcement, and low‑friction deployment. It warns against blunt blocking and promotes nuanced controls such as redaction, just‑in‑time warnings, and conditional approvals to protect data while preserving productivity.