AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Home Wi-Fi has quietly become the backbone of daily life, carrying everything from bank logins to baby monitor feeds. When that network is left wide open or only half protected, it is not just the ...

At ISAC3 2025, Debasish Paul presented pioneering AI-driven research on optimized deep learning frameworks to enhance network and smart-home cybersecurity.

Abstract: Quantum computing has been a major priority for several nations and prominent institutions in their pursuit of a transformative breakthrough in the fields of computation and encryption. By ...

Machine Unlearning Authors, Creators & Presenters: hen Gong (University of Vriginia), Kecen Li (Chinese Academy of Sciences), ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Network traffic monitoring has evolved from a nice-to-have administrative tool into an essential cybersecurity defense mechanism.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

GlassWire is a powerful and visually intuitive network monitoring and security application that provides users with comprehensive control over their network traffic. Combining a sophisticated firewall ...

AI-powered training platform & private LLM assistant equip partners to capture billions in private data exchange ...

The big difference between aiFWall and traditional network firewalls is that this is a two way circular defense around the AI ...