Machine Learning Reveals Insider Threats

It’s commonly known that over two-thirds 
of attacks or data loss originate from insiders—either caused by inadvertent actions/takeovers or malicious intentions. Enterprises need to constantly watch their environments for suspicious activities by employees, contractors and partners. And these suspicious activities should be automatically stitched together in a timely fashion for an analyst to respond.

Splunk UBA insider threat detection provides you with:

  • Outlier analysis by leveraging behavior base-lining, behavior modeling and peer group analytics 

  • A broad range of custom written machine learning models whose output can be tailored to a customers’ requirements 

  • Fully automated and continuous threat monitoring—no rules, no signatures, no human analysis required