A modern business needs to secure both physical networks and mobile devices. Here's what you need to know about mobile threat defense services.
Threat actors constantly evolve their tactics and techniques to circumvent security solutions. Working at the cutting-edge of detection engineering, CrowdStrike rapidly tracks and observes these evolutions in tactics to deliver timely, effective detections that protect customers. In this blog, we explore DLL side-loading and learn how CrowdStrike has expanded protections with Advanced Memory Scanning.
Corelight Investigator furthers its commitment to delivering next-level analytics through the expansion of its machine learning models. Security teams are now enabled with additional supervised and deep learning models, including: We continue to provide complete transparency behind our evidence -- showing the logic behind our machine learning models and detections, allowing analysts to quickly and easily validate the alerts.
Compromised secrets and credentials are the most common cause of data breaches and are often left unmanaged. In the past year alone, we’ve seen sustained growth in supply chain attacks and security incidents impacting the security of secrets stored in code repos or unknowingly shared within SaaS applications. Because of this, there is a compelling need for reliable, accurate, and actionable secrets detection for modern organizations.
Editor's note: This is the first in five-part series authored by Ed Amoroso, founder and CEO of TAG Cyber, which will focuses on how the Corelight platform reduces network security risks to the so-called Everywhere Cloud (EC). Such security protection addresses threats to devices and assets on any type of network, including both perimeter and zero-trust based.