Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

How AI and machine learning can enhance Kubernetes security. Learn about eBPF, IDS, and automated threat responses. Secure ...

Two enterprise-level projects apply AI-based predictive monitoring to transform logistics and crew safety. By integrating machine learning, real-time data, and usability-focused dashboards, these ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Big Data engineering, when approached strategically, becomes a core enabler of robust data privacy and security.

Supercharging your data analysis strategy with machine learning, data science, and custom-trained LLMs can unlock a higher ...

The primary vulnerabilities identified include data breaches, ransomware attacks, IoT device exploitation, adversarial ...

Vivek Somi, a veteran of high-stakes business settings, feels that the pillar of contemporary incident management is ...