UEBA (User and Entity Behavior Analytics) watches how users and entities, such as devices and applications, normally behave on your network, and flags activity that does not fit. Traditional tools mostly look for known threat signatures or fixed rules. UEBA builds a picture of what is normal for each account and system, then uses analytics and machine learning to spot differences. Those differences can point to an insider misusing access, a stolen account or an attacker moving from one system to another.
This helps catch problems that fixed rules can miss, such as data being copied out in unusual amounts, privileges used in new ways, or a slow, patient attack (an advanced persistent threat, or APT). By tracking behavior over time and linking it to other security events, UEBA gives analysts context and can cut down false alarms. It also adds a behavioral layer to tools you may already use, such as SIEM or SOAR. For organizations, that means better protection for sensitive data, less time spent chasing noise and clearer evidence for compliance work under standards such as HIPAA, GDPR and PCI DSS.
UEBA collects data about logins, file access, network activity and application use from your existing systems. It learns a baseline for each user and device, often compared with similar peers, then scores activity that departs from it. A user who normally works office hours from one location and suddenly downloads thousands of files at night from another country will score high. Analysts see a ranked list of the riskiest items, with the reasons attached.
UEBA is only as good as the data it receives. It needs reliable logs from your directory service, endpoints, cloud applications and network tools, and it needs time to learn what normal looks like. Alerts should go to someone who will review them, which is why UEBA is often connected to a SIEM or a monitoring service.
Because UEBA looks at how people use systems, tell staff what is monitored and why, and agree who can see the results. Tuning matters too. Early on, some alerts will turn out to be normal activity such as a new project or a business trip. Feeding those back into the tool makes it more accurate over time.
UEBA stands for user and entity behavior analytics. It learns how users, devices and applications normally behave and flags activity that is unusual, which can point to stolen accounts, insider misuse or an attacker moving through your network.
A SIEM collects and correlates logs, mostly using rules. UEBA adds behavior analysis on top of that data, so it can find activity that no fixed rule describes. Many UEBA products work with a SIEM or are built into one.
Most UEBA products use statistics and machine learning to build baselines. The method matters less than whether the results are clear and useful to your analysts, so we look at how a product explains its alerts.
It has to observe activity to learn a baseline, which can take a few weeks depending on the product and how much data it receives. We talk through the timing for your environment before you start.
Yes. We work from our base in Sharjah with businesses in Dubai, Abu Dhabi and the rest of the UAE. Most of the work can be done remotely, and we arrange site visits where they are needed.
