Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. This article will share reasons why ML has risen…

Like a member of any profession, a chief information security officer (CISO) grows into their role. They exhibit a maturity curve that can be roughly split into five attitudes: Protection: When a CISO first steps into their role, they look to perfect the basics and build a fortress for themselves in the form of firewalls,…

Following the massive infusion of cash, investors are valuing the company at $8.3 billion. San Francisco, California-based Lacework was founded in 2015 by Mike Speiser (managing director of Sutter Hill Ventures) Sanjay Kalra (now founder and CEO at ShiftRight), and Vikram Kapoor (CTO). It was built on the principal that cloud security is fundamentally a…

Building on previous research, white papers, and other projects from Adobe’s Security Intelligence Team, OSAS out-of-the-box allows researchers to experiment with datasets, control data processing and feature combining, and help identify a solution for detecting security threats. The new open-source project tackles the issue of data sparsity, which may appear when using machine learning (ML)…

IBM deploys machine learning to bolster online banking security program

Behavioral biometrics that uses machine learning is behind new features being added to IBM’s Trusteer Pinpoint Detect platform, which financial institutions use to head off crooks who may have stolen the username and password of legitimate account holders. The new feature looks for anomalies between legitimate users’ normal mouse gestures and those of the current…