X-Industry

With everything turning digital, Cyber Security threats have been growing each day as the attack surface is massive and continuing to grow and evolve rapidly.  In response to this unprecedented challenge, Artificial Intelligence (AI) based tools for cyber security have emerged to help information security teams reduce breach risk and improve their security posture efficiently and effectively.

See:  https://redskyalliance.org/xindustry/ai-s-impact-on-cyber

AI is helping firms to become more resil

Automating the on-demand collection of memory dumps, process information, system files, and event logs for inclusion in threat-hunting activities allows for a more comprehensive and proactive approach to adaptive threat-hunting. In the WatchTower Threat Hunting blog series, Sentinel Labs calls out some adaptive threat-hunting methodologies, including Chained Detections, a Multi-Directional Approach, and AI-powered hunts. This shows the benefits of applying a multi-directional approach to adaptiv

As automotive engineering progresses and moves away from traditional mechanism, the integration of Artificial Intelligence (AI) and Machine Learning (ML) is not just a futuristic possibility; it is increasingly becoming a reality.  These technologies are not only reshaping how vehicles operate but are also enhancing safety, efficiency, and performance.

Dr. Vish Vadari, Senior Technical Specialist Noise, Vibration and Harshness (Global) at ZF Group, explains the potential of AI and ML in optimizi

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems.  Called the Adversarial ML Threat Matrix, the initiative is an attempt to organize the different techniques employed by malicious adversaries in subverting ML systems.

Just as artificial intelligence (AI) and ML are being deployed in a wide variety of novel applications, t