Introducing Splunk UBA 3.0

SCL-Splunk-conf2016-Badge-5-v2_fb-1200x627Splunk User Behavior Analytics 3.0 (UBA) introduces significant advancements to Splunk UBA and drives Splunk’s Security Analytics to the next level. This is evident with Gartner placing Splunk in the leader’s quadrant and positioning Splunk furthest overall for completeness of vision.

Splunk UBA 3.0 makes an architectural shift by decoupling platform from content, thereby, providing customers with an ability to update detection footprint with zero downtime and without the hassle of upgrading the entire platform. Content includes the following: machine learning models, threat models, anomaly classifications, data sources, and intelligence. The goal for this architectural shift is two-fold – improve operational efficiency and keep up with the ever-changing threat landscape by delivering regular updates.

Model, Models and Lots of Machine

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Security Solutions Need Data Science and Machine Learning to Protect Organizations

Screen Shot 2015-11-03 at 3.42.46 PMEvery month we hear about a major breach targeting an enterprise or public sector. Based on current cyberattack growth rates, we anticipate the impact to our global economy to be around three trillion US dollars.

Within the past five years, 2.5 billion records were exposed. From January, 2015 until June 2015, 256 million records were compromised. Breaking that down, that’s…

  • 1,400,000 stolen records per day (or)
  • 56,000 stolen records per hour (or)
  • 943 stolen records per minute.

A recent FireEye study found that on average, an organization takes 205 days to detect advanced threats. We need a security solution that uses a new paradigm to combat modern day attacks…

Splunk calls it Splunk User Behavior Analytics (Splunk UBA).

Splunk UBA

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