Overview Data analytics examines structured datasets to uncover trends, patterns, and actionable insights effectively.Big data analytics processes massive, comp ...

Last year, The European Union Agency for Cybersecurity (ENISA) launched the European Union’s Vulnerability Database (EUVD), which marked a pivotal moment in the evolution of global cybersecurity. For ...

Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

On the subject of GreenOps, Tomicevic thinks simplistic anti-cloud arguments miss the point and believes graph technology deserves its own green spotlight – he writes as follows… It’s no secret that ...

Moving AI from experiment to production requires high-quality, real-time data streaming. Australia tech leaders from Confluent, Bendigo Bank, Telstra, and Coles share how they are turning systems of r ...

Advances in network science, artificial intelligence, and clinician networks may shift medical decisions from individual doctors to groups—and even AI models—at scale.

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

Learn how to implement cryptographic agility in Model Context Protocol (MCP) to protect AI infrastructure against quantum threats with PQC and modular security.

Network pharmacology, an interdisciplinary field integrating systems biology, bioinformatics, and network science, has emerged as a transformative approach in traditional Chinese medicine (TCM) ...

The Barcelona Supercomputing Center is now part of the international scientific network that develops reference models used to assess seismic risk across Europe, marking the first participation of ...