Labeling adversary activity with ATT&CK techniques is a tried-and-true method for classifying behavior. But it rarely tells defenders how those behaviors are executed in real environments.

In computer vision applications, Cyberway's self-developed high-performance image recognition algorithms have been successfully deployed in visual inventory counting scenarios, enabling automated ...

Enhancements to the Nutanix Cloud Platform empower customers to maintain security, control, and resilience across distributed environments Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud ...

Stackhawk, the shift-left runtime testing platform, today is adding Business Logic Testing (BLT) to its AppSec menu. Built for the AI era, StackHawk's Business Logic Testing automates the detection of ...

Is it actually possible that a comet from another star system could change color right in front of our eyes and then ...

Legendary publication's annual best-of list celebrates the automotive industry's top trucks and SUVsPalisade's all-new, ...

Proactive Sensitive Data Leak Detection. Embed privacy across all stages in development, from IDE environments, with ...

Keepit, the SaaS data protection company, announced today that it has been named a Leader in the IDC MarketScape: Worldwide ...

Northrop Grumman has demonstrated the integration of its AN/AQS-24 minehunting system with a mine countermeasure uncrewed ...

Two composite images show side-by-side observations of the Perseus Cluster from NASA's IXPE (Imaging X-Ray Polarimetry ...

The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...

The latest addition to its portfolio from SICK provides reliable, accurate and robust detection in even the most complex and ...