Next DLP, a leader in insider risk and data protection, is debuting Secure Data Flow, a new feature of the Reveal Platform—a flexible, cloud-native, AI- and ML-powered solution built for today's ...

Cloud security and application monitoring giant Datadog Inc. said today it’s looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. The financial ...

Cloudera also debuts new AI assistant to help data scientists, data engineers and developers boost productivity and streamline data workflows. Data platform giant Cloudera has struck a deal to acquire ...

Abhi Sharma, Founder and CEO at Relyance AI. Every organization evaluating or experimenting with AI faces a growing challenge: Traditional data lineage systems are falling short in providing the ...

SANTA CLARA, Calif., Feb. 03, 2026 (GLOBE NEWSWIRE) -- Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, today announced Netskope One Data Lineage, ...

Applications are expected to be always-on, lightning fast, and endlessly scalable—whether it's powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to ...

Debate and discussion around data management, analytics, BI and information governance. Perhaps you’ve heard someone mention “data lineage” in a meeting. You might have nodded along while secretly ...

Data is like the fuel for all the new AI stuff everyone’s talking about. But how do you actually get that fuel where it needs ...

As data becomes the lifeblood of modern enterprises, the expectations placed on data platforms are evolving at an unprecedented pace. No longer confined to powering dashboards or historical reports, ...

Cloud-based data warehouse company Snowflake is adding more large language model capabilities and services related to generative AI, just months after releasing similar services in June. At its annual ...

Enterprises today face unprecedented challenges in managing the complexity of their data ecosystems. Traditional data monitoring focuses on infrastructure but fails to provide visibility into the data ...