Behavior Analytics Authentication
The Importance of Behavior Analytics
On top of User and Entity Behaviour Analytics, UBA is also known as security user behavior analytics (SUBA), and Network Traffic Analytics (NTA), no matter what you call it, the simplified definition of User Behavior Analytics is that it is the process of collecting data on the events generated by your users through their daily activity across different networks and devices, then leverages machine learning, algorithms, statistics and probability to organize that data into logical, useful analytics reports that highlight activity significant to the organization.
“User and entity behavior analytics offers profiling and anomaly detection based on a range of analytics approaches, usually using a combination of basic analytics methods (e.g., rules that leverage signatures, pattern matching, and simple statistics) and advanced analytics (e.g., supervised and unsupervised machine learning).
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While applying user behavior analytics to just one user may not be useful for finding malicious activity, running it on a large scale can give an organization the ability to detect malware or other potential cybersecurity threats, such as data exfiltration, insider threats and compromised endpoints.
User Behavior Analytics, an offshoot of Behavior Analytics, is a concept that began in the world of marketing, where products like Google Analytics provide organized reports of server activity logs, which granted marketers much greater insight into who did what while on their website.
Behavioral analytics tools ingest a high volume of raw event data from user interactions across multiple channels, looking at everything from user journey to social media engagement to unique sessions to time on page.
Google Analytics helps you capture and understand user behavior in most kinds of applications, including mobile apps (iOS and Android), web and SaaS applications, and IOT (internet of things) devices.
User and entity behavior analytics (UEBA), also known as user behavior analyics (UBA), is the process of gathering insight into the network events that users generate every day.
With a sophisticated behavioral analytics platform, you can merge revenue data (from ecommerce, affiliate networks or Google Analytics) and cost data (from Google AdWords, Facebook Ads, any other ad platforms or data source).
By understanding attributes like typical access patterns, prevent bad actors from accessing your critical assets and systems with User and Entity Behavior Analytics (UEBA).
Behavioral analytics utilizes the massive volumes of raw user event data captured during sessions in which consumers use application, game, or website, including traffic data like navigation path, clicks, social media interactions, purchasing decisions and marketing responsiveness.
User Behavior Analytics exposes stealthy, attacker activities by uncovering patterns in user behavior to identify what’s “normal” behavior, and what may be evidence of intruder compromise, insider threats, or risky behavior on a network.
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