As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Sentra, the AI Data Readiness platform built for continuous data discovery, classification, and identity-aware governance at enterprise scale, today announced its integration with Claude's Compliance ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today Seclore, the leading provider of data-centric security solutions, announced the release of new Digital Asset Classification and Risk Insights capabilities ...

New product closes the structural gap between data discovery and remediation, cutting time to risk reduction by approximately 10x for security teams across cloud, SaaS, and AI environmentsNew York, ...

All students, employees, volunteers and contractors/agents at Hope College possess and/or access information that should be protected, and each individual plays a crucial role safeguarding that ...

BEIJING, June 13 - China's cybersecurity administrators on Saturday moved to tighten the grading and classification of data in the financial information services sector in what it said would ...

NEW YORK, Jan. 30, 2024 (GLOBE NEWSWIRE) -- Varonis Systems, Inc. (Nasdaq: VRNS), a leader in data security, today announced the ability to integrate with connected databases hosted in the cloud or on ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...