Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Supercharging CrowdStrike’s artificial intelligence requires both human professionals and the right technologies to deliver blisteringly fast and accurate machine learning model training with a small footprint on the CrowdStrike Falcon® sensor. CrowdStrike data scientists continuously explore theoretical and applied machine learning research to advance and set the industry standard in protecting customers from sophisticated threats and adversaries.

What is it with these funny adversary names such as FANCY BEAR, WIZARD SPIDER and DEADEYE JACKAL? You read about them in the media and see them on CrowdStrike T-shirts and referenced by MITRE in the ATT&CK framework. Why are they so important to cyber defenders? How is an adversary born? You may think you have a problem with ransomware, bots or distributed denial of service (DDoS) attacks but you would be wrong. Because humans are behind every cyberattack, what you really have is an adversary problem.

We are excited to announce Quadrant Knowledge Solutions has named CrowdStrike as a 2022 technology leader in the SPARK Matrix analysis of the global Digital Threat Intelligence Management market. Among all 28 vendors in the report, CrowdStrike received the highest score in the Technology Excellence category. The SPARK Matrix evaluates top vendors in the Digital Threat Intelligence Management space on a variety of criteria and groups them into Leaders, Challengers and Aspirants.

An adversary’s ability to live off the land — relying on the operating system’s built-in tooling and user-installed legitimate software rather than tooling that must be brought in — may allow them to navigate through a victim organization’s network relatively undetected. CrowdStrike Falcon OverWatch™ threat hunters are acutely aware of adversaries’ love of these living off the land binaries (LOLBins) and build their hunts accordingly.

Popular for compromising internet-connected devices and conducting distributed denial of service (DDoS) attacks, Mirai malware variants have been known to compromise devices that run on Linux builds ranging from mobile and Internet of Things (IoT) devices to cloud infrastructures.

As organizations increasingly move to hybrid cloud environments to increase agility, scale and competitive advantage, adversaries are correspondingly looking to exploit these environments.