Threat intelligence-based and machine learning algorithms work in unison to convict known and unknown malware through both static and dynamic detections of malicious executables and other challenging threats to reduce investigation workloads for resource-constrained security teams.

Solaris Cyber Security aggregates multiple threat feeds and cross-examines those feeds against machine learning analysis to rank the various threat feeds based on their historical accuracy for particular types of threats from various adversary groups. Enabling us to determine the correct threat intelligence source and to respond with precision.

We can quickly dig into the details of an attack without crafting complicated queries, then easily move directly from investigating to remediating affected devices by executing a full suite of actions from machine isolation and process killing to removing persistence mechanisms.