![]() ![]() The following diagram shows the detection logic of the model: The model finds unusual patterns of activities on the same day of VPN logins, and determines whether the corresponding login is abnormal. Changepoint Model for VPN Location of Authentication EventsĪbnormal VPN Session Associated with Rare Locationĭetects abnormal VPN session associated with rare login geolocation.Ĭhangepoint Model for VPN Location of Authentication Eventsĭetects location changepoint in VPN authentication events.Abnormal VPN Session Associated with Rare Location.Splunk UBA version 5.3.0 includes two new VPN login related anomaly detection batch models: Click OK to save the data source type mapping.VPN login related anomaly detection models.Specify the Splunk Type in all capital letters. Select the UBA Format that matches each data source type from the drop-down list of formats.If your data source type is not listed, click Add Mapping and type the Splunk source type in the Splunk Type text box.ĭo not remove any of the existing mappings, as they may be used by other data sources in your system. Review the list of existing mappings for the data source types you want to add.See Add data sources to Splunk UBA in test mode.Īdd data from multiple source types in the Splunk platform to Splunk UBAįollow this procedure to add multiple data source types from the Splunk platform to Splunk UBA: To add the data source in test mode, leave the check box selected.Select the format from the drop-down list of formats.Select one data source type and click Next.You must be able to connect to the Splunk platform and see at least one data source type before you continue. If no source types appear, you may have a firewall rule preventing you from being able to query the Splunk platform. Splunk UBA will try to form a connection with the Splunk platform and find source types across all default indexes. Click Source Types to view the source types from your Splunk platform data.Micro-batch queries are not used for this search. This is a one-time search and is performed when the data source is added to Splunk UBA. Only events within the specified calendar window are retrieved. To add historical data from the Splunk platform, select Date Range and select a calendar date range.For example, specify 8h 30s to retrieve data for the past 8 hours and 30 seconds. To retrieve for a specific time window, select Live and Time Window and specify a time period.To continuously retrieve data using time-based micro batch queries, select Live and All time.Select a Connector Type of Splunk Raw Events and click Next.Type the user name and password for the Splunk platform account.Ensure that port 8089 is accessible on the load balancer. If you have search head clustering configured and a load balancer is available, you can specify the load balancer host name to avoid a single point failure. Type a connection URL that matches the URL for your Splunk platform or Enterprise Security search head and management port.The data source name must be alphanumeric, with no spaces or special characters. Specify a name for the data source, such as Splunk.Select Splunk as the data source type and click Next.In Splunk UBA, select Manage > Data Sources.To add data that is not CIM-compliant or not from a supported data source type, contact Splunk Professional Services.Īdd data from one source type in the Splunk platform to Splunk UBA For more information about time zones and events in the Splunk platform, see Specify time zones for timestamps in Splunk Enterprise Getting Data In. By default, the property is set to true to allow data from multiple time zones. You can add data from multiple time zones using this method. ![]() Consider mapping the data to the appropriate CIM data model and use the method described in Add CIM-compliant data to Splunk UBA from the Splunk platform to add the data. View supported data source types on the Data Format page in the Edit Data Source Types window. You can add data that is not CIM-compliant and is from a supported data source type. Add raw events from the Splunk platform to Splunk UBA ![]()
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