Find the Gap

Prevention tells us what was stopped, Fluency tells you what was not.





What is Fluency?

Fluency is a big data analysis infrastructure that fuses network event activity with alerts and logs from traditional security devices providing:

  • Clarity
  • Perspective
  • Interactive Search
We say infrastructure, for big data requires the ability to collect, process, store and interact with data in order to be useful.  So, what does a big data infrastructure really mean?  It means that Fluency can compare alerts against every event and flow in your infrastructure, showing where there is a gap between what was stopped and what was allowed.  By absorbing multiple views, Fluency fuses critical data that is needed in the response and normally stored elsewhere do to the size of informational event data.

Time is your greatest asset

A big data infrastructure allows interactive search over an extremely large data set.  While traditional SIEM technology is pressed to show fused attributes of a session, Fluency provides it in milliseconds.  Analysts require multiple such searches as the analyst scopes and pivots.   Fluency cuts the time from hours to seconds. Improving response time while lowering analysis costs. And this is not because Fluency is managing a smaller data set, just the opposite.  Single node servers can handle a billion events a day and can be clustered to handle more.

Integration empowers perspective

No man is an island, and no security product is either.  Fluency implements what we call a service bus. It is best described as making remote services object-oriented.  It's a bi-directional protocol exchange that enables clients to expose services to other authenticated nodes.  A service bus implements messaging, REST and stream as its arguments, handling the process of the service flow by the service itself.  The result is two fold: Faster integration to data sources, and consistent service quality, as the service object handles the process flow and error response instead of the client.

By 2016, 25 Percent of Large Global Companies Will Have Adopted Big Data Analytics For At Least One Security or Fraud Detection Use Case

Designing an Adaptive Security Architecture for Protection From Advanced Attacks Gartner

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Big Data Analytics

Data analytics is critical for reducing cost of security operations.  So what really does it do? It cuts down on the noise and false alerts; Correlates the high-priority alerts across activity providing the big picture; and creates the backbone to agile response allowing you to stay ahead of malicious actors and activities.
The results show that a probability of a material data breach involving a minimum of 10,000 records is more than 22 percent.

2014 Cost of Data Breach Study: Global Analysis IBM

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