Spike in Group Membership Events
A machine learning job has identified an unusual spike in Okta group membership events, indicating potential privileged access activity. Attackers or malicious insiders might be adding accounts to privileged groups…
Description
A machine learning job has identified an unusual spike in Okta group membership events, indicating potential privileged access activity. Attackers or malicious insiders might be adding accounts to privileged groups to escalate their access, potentially leading to unauthorized actions or data breaches.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Detection requirements
- Platform
- ContainersESXiIaaSIdentity ProviderLinuxmacOSNetwork DevicesOffice SuiteSaaSWindows
The rule states no platform. This is derived from the 3 ATT&CK techniques it maps to.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| docs.elastic.co/en/integrations/pad | 21 |
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
From the source
- At source
- Open at source
- Upstream identifier
- 138520d2-11ff-4288-a80e-a45b36dca4b1
- Tagged by the source as
- Data Source: OktaDomain: IdentityPlatform: OktaResources: Investigation GuideRule Type: Machine LearningRule Type: MLTactic: Privilege EscalationUse Case: Privileged Access Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2