Today’s enterprise is encountering two types of threats: cyber-attacks and insider threats. Once a cyber-attacker gains trusted access to an environment it is extremely difficult to distinguish his/her activity from a benign user. Insiders have an advantage because they have trusted access to an environment that traditional security solutions are not designed to combat.
Splunk User Behaviour Analytics (Splunk® UBA) is an out-of-the-box solution that helps organisations find known, unknown, and hidden threats using data science, machine learning, behaviour baseline, peer group analytics and advanced correlation. It presents results with risk ratings and supporting evidence so that an analyst and a hunter can quickly respond and take action.
Why Splunk for User Behavior Analytics?
Splunk UBA detects cyber-attacks and insider threats using data science, machine learning, behavior baseline, peer group analytics, and advanced correlation. Our advanced security analytics solution enables organizations of any size or skillset to detect and respond to known, unknown, and hidden threats. By addressing the entire lifecycle of an attack – cyber or insider, and by providing a platform to detect, respond, and automate, Splunk continues to deliver the industry's most compelling security analytics solution.