Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

Only machine learning can address the increasing number of challenges in cybersecurity: scaling up security solutions, detecting unknown attacks and detecting advanced attacks, including ...

AI and ML research and technology provider Quantum Ventura will use BrainChip’s Akida technology to develop cyber threat-detection tools.

For effective cyber-attack detection and automated remediation, such applications require AI-driven ML processes run against real-time network traffic analytics.

Cyber attacks are all over the news, and it seems like no one is immune — Home Depot, Target, Adobe and eBay included. So why are CIOs still fighting cyber criminals with one hand tied behind ...

Tweet this RSA NetWitness Detect AI applies cloud-scale processing for behavior analytics and uses unsupervised machine-learning to detect and respond to threats without manual oversight.

Combination of threat analysis and data analysis with machine learning can help security teams turn raw data into cyber threat intelligence.

--ARIA Cybersecurity Solutions, a CSPi business that delivers a software-defined approach for improved cyber-attack incident detection and response, announced today it will be using the NVIDIA ...