Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Cybernews researchers found an exposed database with 24 billion credential records, raising fresh risks from password reuse ...

One of the world’s most active ransomware groups exploited a critical vulnerability in Oracle’s PeopleSoft software suite and used it to target about 100 customers and extort at least one of them to ...

Large-scale biological data repositories, particularly when deployed as single, non-mirrored instances or governed within narrow contexts, face structural vulnerabilities, from cyberattacks to funding ...

People are trusting their AI agents with much more important work, but doing so still carries significant risks. Just ask Jeremy Crane, founder of PocketOS, a startup that builds software for car ...

In 2023, about 85% of the roughly five million articles indexed in major global databases covering the natural, medical and social sciences were written in English. In 1990, the proportion was ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to argue for the intellectual superiority of white people. Credit...Ben Denzer ...

With the increasing volume of biomedical experimental data, standardizing, sharing, and integrating heterogeneous experimental data across domains has become a major challenge. To address this ...