Fluency Expands Network Traffic Analysis Capabilities to Create the Most Complete Security Analytics & Orchestration Solution

Fluency today announced the general availability of its Security Analytics and Orchestration (SAO) solution version 5.5 that unites its innovative Network Traffic Analytics (NTA) and Central Log Management (CLM) capabilities to empower security operations centers to make far better decisions supported by automated implementation.

Unlike any other products, Fluency uses patented real-time technology that correlates events by removing duplication and merging additional event information. Fluency's analytic scoring process validates, scores, and tracks issues. This, combined with Artificial Intelligence (AI) and Machine Learning (ML), results in a uniquely efficient, cost-saving security solution that is consistently smarter and faster than other SAO offerings.

Fluency was co-founded by Chris Jordan and Kun Luo, who sold their previous company to McAfee in 2009. Jordan and Luo led and directed McAfee's network threat intelligence solution until 2012.

"At Fluency, we believe that a critical element of SAO is the decision process," Jordan said. "The rationale is quite simple; the decision is a vital element because automating imprecise data only amplifies bad decisions. Fluency focuses on machine learning and big data analytics. This data-centric approach to SAO means more than just making correct decisions, it provides the data needed for a superior response."

"With the launch of version 5.5, Fluency expands its fusion approach combining application awareness, network administration logs, user information and host information stored at different levels of network protocol in conjunction with dispersed security offerings. Fusing this data enables comprehensive analytics while also providing the information needed to more quickly respond, not just detect an issue."

SAO products typically focus on playbooks, chaining integration from one device to another. Fluency acts as a data manager that performs analytics scoring of all incoming data in real time. From this risk-based approach, decisions are made in the playbook to implement responses. The focus on decisions is pivotal in preventing the amplification of false positives as well as improper responses to low-risk events.

Source: Fluency media announcement