The ability to analyze different kinds of images and data from heterogeneous sensors is making this technology particularly interesting for military and defense applications. However, these machine ...

Explore the challenges and solutions in securing power grid control systems, emphasizing the critical role of sensor-centric ...

Devon Rollins, vice president of cyber engineering and machine learning at Capital One ... that ML models and supporting systems are developed with security in mind right from the start.

Machine learning is all about training models to learn automatically from large amounts of data, and from the learning, a system ... Security at Palo Alto Networks and the Co-founder, Chief ...

While at the recent AFCEA TechNet Cyber event in Baltimore, I asked an Army colonel why machine learning was so top of ... techies tend to treat any seemingly new technology in this way. Combine this ...

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 ...

The ever-changing cyber environment requires a security system that can adapt ... such as AI in cyber security, machine learning (ML), and cloud computing are enabling market players to attract ...

“In 1996, an AI chess system, Deep Blue ... a vast amount of data and AI makes that possible, while taking a machine learning approach allows cyber security teams to adapt their technology to a ...