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 ...

The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

For years, Data Loss Prevention (DLP) solutions focused on email, endpoints, and network traffic, where security teams could enforce clear policies with predictable outcomes. But work has changed.

The cybersecurity landscape is undergoing a significant transformation, marked by new entrants and a surge in acquisitions of Data Security Posture Management (DSPM) startups by major tech vendors—six ...

It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...

Cloud computing administrators and their superiors probably have been asked at least once in their life, “What keeps you up at night?” An AI-overview answer (courtesy Google AI) came back with this ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.