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Insider threats look normal — until the baseline says they don’t

The hardest threats to detect are the ones that don’t look like attacks. A privileged user copying a database export at 11pm on a Saturday isn’t doing anything technically forbidden. A contractor accessing a system they normally use during weekday business hours, suddenly at 3am from a different city, isn’t tripping any rule. Traditional alerts catch defined bad behavior — UEBA catches deviation from established normal. The market answer to this has historically been a separate UEBA / SIEM product — Exabeam, Securonix, Splunk UBA, or Microsoft Sentinel — fed by log forwarders, deployed in parallel with whatever you’re using for endpoint monitoring. That works, but it adds a second platform, a second skill set, a second budget line, and a second integration to maintain. Syteca UEBA is built into the same platform you’re already using for session recording and PAM. It analyzes the user activity your Clients are already capturing, builds per-user behavior profiles of normal work patterns, and surfaces abnormal sessions with a risk score in the same Session Viewer you already use. No separate platform, no log forwarding, no parallel skill set — just turn on a behavior rule and watch the anomalies appear in the sessions list.
Use UEBA when you need to:
  • Detect insider threats — privileged users acting outside their normal patterns, credential abuse, account compromise where the attacker mimics the legitimate user.
  • Surface shift changes, holiday access, off-hours activity that might indicate compromised accounts or unauthorized after-hours work.
  • Add behavioral context to existing alerts — turning “someone logged in at 3am” from a one-line log entry into a session you can review.
  • Build defensible audit evidence that anomalous user activity is being detected and reviewed, not just recorded.
  • Get UEBA without buying a second product — useful for organizations where Syteca is already the endpoint monitoring platform.
Pair it with Alerts — Alerts catch defined bad behavior, UEBA catches deviation from normal. Together they cover both halves of the detection space.
Not available in SaaS. UEBA is only supported on on-premises and self-hosted Syteca deployments. It is also not available in High Availability mode.

How UEBA works in three pieces

UEBA in Syteca is a continuous loop with three moving parts:
  1. User behavior rules — you define what kinds of anomalies to detect (e.g. unusual work hours) and assign them to specific Clients / Client groups.
  2. User profiles — for each user on each rule-assigned Client, the system automatically builds a profile of their normal behavior over time, and rebuilds it every 10 days.
  3. Abnormal sessions — sessions that deviate from the profile get a risk score (Normal / High / Critical), surface in the Client Sessions list, and email notifications go to investigators. You then Approve (normal behavior, refine profile) or Skip (genuine anomaly, exclude from profile) each one.
The Approve/Skip loop is what makes the system get smarter over time. Every Approve teaches the profile that this pattern is normal for this user; every Skip teaches it that this pattern was an actual anomaly worth noting.

User behavior rules

User behavior rules live on the Rules tab of the User Behavior Analysis page. The grid lists every rule with these columns: Use the Search box at the top to find rules by name or keyword.
All rule operations (add, edit, delete, enable/disable) require the administrative Client Installation and Management permission.

Add a rule

1

Open Add Rule

Click User Behavior Analysis in the left navigation, select the Rules tab, then click Add in the top right.
2

Set the rule properties

In the Properties section at the top:
  • Select Enable rule.
  • Enter a unique Name.
  • Optionally enter a Description.
3

Define the condition

In the Conditions section, select the Unusual work hours checkbox, then choose the risk level (Normal, High, or Critical).
4

Assign Clients

In the Clients and Client Groups sections, select the Clients and groups to apply the rule to.
Use the Search box to find specific Clients or groups by name.
5

Configure email notifications

In the Email Notifications section, select what you want to be notified about:
  • Send notification on detected anomalies for a finished session — notify when a session ends with anomalies detected.
  • Send instant notification on detected anomalies — notify the moment an anomaly is detected during a live session.
  • Send total session risk score in case of no anomalies — notify when a session ends without anomalies.
Enter recipient addresses in Send Email Notification To — multiple addresses are separated by semicolons.
Email notifications require Email Sending Settings to be configured correctly.
6

Configure additional actions (optional)

In the Additional Actions section:
  • Show warning message to user — display a customizable warning on the user’s screen when the rule triggers.
  • Block user in the current session — automatically block the user when an anomaly is detected.
7

Save

Click Finish in the bottom right. The rule appears on the Rules tab and starts evaluating sessions immediately.

Edit a rule

1

Open the rule

On the Rules tab, click the Edit Rule icon next to the rule.
2

Make your changes

Edit the rule the same way as when adding it.
3

Save

Click Finish in the bottom right.

Enable or disable a rule

To temporarily turn a rule off without losing its configuration, disable it instead of deleting it.
Open the rule with the Edit Rule icon. In the Properties section, deselect Enable rule (or re-select to re-enable). Click Finish.

Delete a rule

Open the rule with the Edit Rule icon. Click Delete Rule in the bottom left of the Edit Rule page, then Delete in the confirmation.
Anomalies detected by a rule before it was deleted are not deleted — the historical record of detected anomalies is preserved.

User profiles

A user profile is automatically built for each user of each Client to which a behavior rule is assigned. The profile captures the user’s normal behavior pattern over the monitored time period, and is what the system compares each new session against to decide if it’s anomalous.

The User Profiles list

The User Profiles tab on the User Behavior Analysis page lists every profile with these columns:
Only days with approved user sessions or sessions without detected anomalies count toward profile building. Sessions with unresolved anomalies are excluded until you approve or skip them.

View a user profile

On the User Profiles tab, click anywhere on a profile row to open it.
Profiles still under construction cannot be opened — wait for the initial build to complete.
The User Profile page displays a bar chart of the user’s normal work schedule for the covered time period. Each bar represents one work day; the length of each bar represents the time the user spent at work that day. Click any of the profile entries listed in the grid to drill into the detail for that period.
User Profile page showing a bar chart of normal work schedule with one bar per work day

The User Profile page with a bar chart of the user's normal work schedule.

Rebuild a user profile

User profiles automatically rebuild every 10 days, starting daily at midnight. The rebuild incorporates approved sessions and sessions without anomalies that have accumulated since the last build. To rebuild a profile manually — useful after a deliberate behavior change (the user’s role changed, they moved to a new shift), or after approving a batch of legitimate-but-previously-flagged sessions — click the Rebuild button in the top right of the User Profile page.

Abnormal sessions

Sessions containing detected behavior anomalies are considered abnormal and get a risk score that appears in the Risk Score column on the Client Sessions tab (Activity Monitoring page).

Risk score colors

Click the Risk Score icon next to a session to open the Session Risk Score page, where you can view the specific anomaly patterns and alert events detected, then decide whether to Approve or Skip the session.
Client Sessions tab showing Risk Score column with colored icons indicating severity

Risk Score icons on the Client Sessions tab — red (Critical), orange (High), green (Normal).

Approve a session

If the user’s behavior in a flagged session is actually normal — they were working late on a legitimate project, accessed an unusual server for a sanctioned reason — approve the session. The behavior is then considered normal and will be incorporated into the user’s profile on the next rebuild.
1

Open Activity Monitoring

Click Activity Monitoring in the left navigation.
2

Open Session Risk Score

On the Client Sessions tab, click the Risk Score icon next to the session.
3

Approve

On the Session Risk Score page, click Approve.

Skip a session

If the user’s behavior is a genuine anomaly — a security incident, suspected compromise, deliberate misuse — skip the session. The session is excluded from profile building so the user’s profile stays clean of the abnormal pattern.
1

Open the Session Risk Score page

Click Activity Monitoring, find the session on the Client Sessions tab, and click the Risk Score icon next to it.
2

Skip

On the Session Risk Score page, click Skip.

Cancel an approval or skip

If you Approved or Skipped a session by mistake, undo it — the original risk score is restored.
1

Find the session

On the Client Sessions tab, in the Risk Score column, click Approved or Skipped for the required session.
2

Undo

On the Session Risk Score page, click Undo.

How investigators receive anomaly information

Three channels surface anomaly information to investigators:

Alerts

Defined-bad-behavior detection — pairs with UEBA’s deviation-from-normal detection.

Session Player

Where you review the recorded sessions UEBA flags as abnormal.

UEBA report

The User Behavior Analytics Grid Report for periodic anomaly reviews.

Pseudonymizer

Note: UEBA is disabled while Pseudonymizer is enabled (the features aren’t currently compatible).