Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G networks with high detection accuracy.

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

Advanced sensor technologies and data analytics can proactively identify grid hazards, enhancing safety and operational ...

Nation-state goons and cybercrime rings are experimenting with Gemini to develop a "Thinking Robot" malware module that can ...

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

Compared to MDR, XDR is built to break down silos between different security tools and data sources, leveraging ...

The healthcare industry faces unique and significant security challenges. Healthcare security professionals must balance an open, welcoming environment for patients and visitors with the need ...

Francis Guibernau is a Senior Adversary Research Engineer and member of the Adversary Research Team (ART) at AttackIQ. Francis conducts in-depth threat research and analysis to design and create ...

This investigation, conducted with support from the Georgian CERT, uncovered new tools and techniques used by the Curly COMrades threat actor. It established covert, long-term access to victim ...

ST. LOUIS—Interface Systems, a managed service provider delivering business security, networking, and business intelligence ...

Russian hackers are abusing Microsoft Hyper-V to create a hidden Linux virtual machine within the victim’s host, enabling ...