User Behavior Analytics (UBA) – Detecting Anomalies and Insider Threats

In modern IT security systems, traditional signature-based solutions are no longer enough.
To effectively detect anomalies and insider threats, organisations are turning to User Behavior Analytics (UBA) – a technology based on analysing user activity patterns.

UBA is one of the key tools in modern Security Operations Centres (SOC) and a foundation of Zero Trust architecture.


What Is User Behavior Analytics (UBA)?

User Behavior Analytics (UBA) involves monitoring and analysing user activity within IT systems.
The goal is to identify unusual, suspicious, or risky behaviours that may indicate:

UBA leverages machine learning and statistical algorithms to spot deviations from normal behavioural baselines.


Why Implement UBA?

By implementing UBA, your organisation starts understanding not just what is happening, but why.


The UBA Process

  1. Data collection – logins, file access, configuration changes, data operations.
  2. Analysis & correlation – algorithms identify deviations from norms.
  3. Alert generation – the system notifies the SOC team about potential incidents requiring investigation.

How to Implement UBA in Your Organisation


Leverage UBA to Protect Your Company

Invest in user behaviour analytics to detect and respond to threats before they escalate into incidents.
UBA supports threat detection, enhances threat hunting, and helps build a data-driven security culture.


Get in Touch

I help organisations design and deploy UBA/UEBA analytics solutions and integrate them with SIEM and SOC systems, following NIST SP 800-137 and MITRE ATT&CK best practices.

Email: biuro@wichran.pl
Phone: +48 515 601 621


Author: Piotr Wichrań – Court-appointed IT forensic expert, IT/OT cybersecurity specialist, licensed private investigator
@Informatyka.Sledcza