Which data sources do I need?

Before adding data sources to Splunk UBA, review the tables to find which data source types you may need to unlock desired use cases and detections.

• Required data sources for Splunk UBA to identify users and devices
• Data sources for Splunlk UBA to perform identity resolution
• Data source types for use cases in Splunk UBA
• Data source types for anomalies in Splunk UBA

Required data sources for Splunk UBA to identify users and devices

Human resources (HR) data and assets data are required for Splunk UBA to generate high-fidelity anomalies and threats.

Data Source	How does Splunk UBA use this data?
HR data from your HR system	HR data is required and must be the first data source ingested in Splunk UBA. HR data contains information about the accounts being tracked by Splunk UBA. HR data is required by Splunk UBA to identify accounts and categorize account types, then associate each account with a human user. See Why Splunk UBA requires HR data for more information.
Assets data from your CMDB, Splunk Enterprise Security, or Active Directory	Assets data is required and must be the second data source onboarded, immediately after HR data. Assets data contains information about the devices in your environment. Assets data is required by Splunk UBA to track the behavior of assets in your system, display additional metadata for known entities, and allow blacklisting of devices that should not be associated with users. Splunk UBA requires assets data with DNS to properly perform device identify resolution. See Identify assets in your environment for more information.

See Ingest HR data and assets data using a dedicated source type for information about how to ingest these data sources.

Data sources for Splunk UBA to perform identity resolution

Splunk UBA performs identity resolution to find the real-time associations between IP addresses, host names, and users. Splunk UBA maintains these associations over time and also allows you to prevent anomalies from being generated for specific users and devices. See Exclude identity resolution for devices or users for more information.

The most accurate identity resolution is achieved by having all of the data sources in the table, and you must have at least one. The absence of a data source, such as DNS, does not prevent Splunk UBA from performing identity resolution, but may affect whether or not entities are properly mapped or whether the mappings are maintained over time.

Splunk UBA uses the following data sources to perform identity resolution:

Data Source	How does Splunk UBA use this data?
Authentication	Splunk uses login events in authentication data to perform the following entity mappings: IP addresses to hostnames IP addresses to user accounts Hostnames to user accounts
DNS	Splunk UBA uses DNS query response data to map IP addresses to hostnames.
DHCP	Splunk UBA uses log entries from new, renewed, or released leases to perform the following mappings: IP address to MAC address IP address to hostname
VPN	Splunk UBA uses login and logout events in VPN data to map IP addresses to users.

See Which connector should I use for a particular data source? for information about how to ingest each data source.

Data source types for use cases in Splunk UBA

After the required data sources are in Splunk UBA, ingest additional data sources to unlock detections for a variety of use cases in Splunk UBA. Splunk UBA provides the following use cases by default.

Splunk UBA Use Case	Description	Typical Contributing Factors and Data Sources
Account Misuse	Accidental misuse and deliberate abuse of superuser privileges yield critical compliance and privacy risks with potentially severe financial consequences and damage to your company's reputation. Splunk UBA baselines the regular behavior of each accounts and identifies abnormalities that may indicate excessive usage, rare access, potential sabotage, or covering tracks. Splunk UBA's confidence grows as a user's activity deviates from the user's peer group profile and the enterprise profile. The higher the confidence, the higher the risk. Examples of such detections include using service accounts to do VPN or interactive logins, data snooping, deleting audit logs, and accessing confidential information.	Data sources such as: Authentication Badge Access Cloud Data Email Endpoint External Alarm VPN AD (Windows Security Events). See Add Windows events to Splunk UBA.
Compromised User Account	Splunk UBA identifies situations where user credentials have been stolen and are being used by someone other than the authorized human user or application. This use case can also detect shared account usage and generic account abuse. Splunk UBA uses behavior modeling to identify any deviation of user activity from normal thereby indicating that someone other than the legitimate owner is operating the account. Detection encompasses identifying unusual or malicious AD activity such as operations on self, terminated users, disabled accounts, and account recovery.	Data sources such as: Authentication Badge Access Cloud Data Endpoint External Alarm VPN AD (Windows Security Events). See Add Windows events to Splunk UBA.
Compromised and Infected Machine	Splunk UBA can identify compromised network endpoints that are infected by malware or are otherwise behaving suspiciously. This differs from the Compromised User Account use case in that malicious activity might be detected on a host but not necessarily linked to a specific user account. For example, command and control traffic can be identified from a system where no user is currently logged in. Behavior-based modeling enables Splunk UBA to identify malware activity irrespective of the delivery mechanism of initial infection. The detection techniques include tracking changes in communication patterns of devices, the nature of communication with external domains or IPs, or characteristics of the domains.	Data sources such as: DLP DNS External Alarm Firewall HTTP Network IDS/IPS AD (Windows Security Events). See Add Windows events to Splunk UBA.
Contextual Intelligence	Splunk UBA learns a lot about users and entities in the organization to identify anomalies that could be linked to threats. This information is extremely useful for analysts performing alert triage and incident investigations. For example, if an analyst suspects that an endpoint has been compromised, the analyst can use Splunk UBA to learn about that desktop's users, their regular behavior, and even the role of that endpoint in the network. For example, is the endpoint a server or a workstation, and is it used for system administration or business functions?	Identity resolution, device profiler models, and data sources such as: VPN DHCP DNS
Data Exfiltration	Unauthorized or malicious data exfiltration may occur even by action of authorized users. As a result, this use case is focused on identifying this type of activity, which is necessary even when the ability to detect compromised accounts and endpoints is in place. Splunk UBA detects loss or theft of private and confidential data out of enterprise across multiple threat vectors such as network security infrastructure including firewall and proxies, online cloud storage, attached storage including USB devices, and email.	Data sources such as: Cloud Data DLP Email Firewall HTTP Network IDS/IPS Printer VPN
Lateral Movement	Lateral movement involves a trusted insider scanning and expanding access across multiple resources. Detection techniques such as rare access or expanding resource usage are used to identify lateral movement. Resources here can be machines, network file shares, box folders etc. Accesses can either be network scans, brute force logins or legitimate logins.	Data sources such as: External Alarm Network IDS/IPS AD (Windows Security Events). See Add Windows events to Splunk UBA.
Suspicious Behavior / Unknown Threats	In cases when there are not enough pre-defined signatures or correlations to cover some scenarios, Splunk UBA can effectively identify unknown scenarios by identifying anomalies based on deviations in the user or device activity in comparison with self or peer group baselines, suspicious or malicious activity, and alerts from external tools and correlating them into a threat. These suspicious account activities and unknown threats often demand further investigation and can lead to other potential threats such as malvertising, account compromise, account misuse, policy violations, or misconfiguration. The Suspicious Behavior / Unknown Threats use case is often used for content building. When an unknown scenario is detected, the scenario can be written into correlation search or threat rules for deterministic detection.	A combination of high scores or large number of anomalies associated with entities.

Data source types for anomalies in Splunk UBA

Before adding data sources to Splunk UBA, review this table to find which types of anomalies can be generated for certain types of data. Click on the column headers to sort by anomaly type or data source type.

You want to see this anomaly	You need these data sources
Blacklisted Application	Firewall
Blacklisted Domain	HTTP, DNS
Blacklisted IP Address	Network IDS/IPS
Brute Force Attack	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Download From Internal Server	Firewall
Excessive Box Downloads	Cloud Data
Excessive Data Printed	Printer
Excessive Data Transmission	Network IDS/IPS, Firewall
Excessive Database Administration Tasks	Database
Excessive Database Help Actions	Database
Excessive Database Permission Grants	Database
Excessive Database Records Deleted	Database
Excessive Database Records Modified	Database
Excessive Database Records Read	Database
Excessive Downloads via VPN	VPN
Excessive File Size Change	Cloud Data, Network IDS/IPS, Authentication
External Alarm	External Alarm
External Alarm Activity	External Alarm
External Website Attack	HTTP
Failed Access By Disabled Badge	Badge Access
Failed Badge Accesses on Multiple Doors	Badge Access
Flight Risk User	Firewall, HTTP, Email
Land Speed Violation	Authentication
Local Account Creation	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Machine Generated Beacon (HTTP)	HTTP
Machine Generated Beacon (IP)	Firewall
Malicious AD Activity	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Multiple Authentication Errors	Authentication
Multiple Authentications	Authentication
Multiple Badge Accesses	Badge Access
Multiple Box Login Errors	Cloud Data
Multiple Box Logins	Cloud Data
Multiple Box Operations	Cloud Data
Multiple External Alarms	External Alarm
Multiple Failed Badge Access Attempts	Badge Access
Multiple Login Errors	Authentication
Multiple Logins	Authentication
Multiple Outgoing Connections	Firewall
Multiple Sessions Denial	Firewall
Network Protocol Violation	Firewall
Period with Unusual Windows Security Event Sequences	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Possible Phishing Attempt	HTTP
Potential Webshell Activity	HTTP
Rule-based Anomaly	Multiple
Scanning Activity	Firewall
Suspicious Account Activity	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Suspicious Account Lockout	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Suspicious Box Usage	Cloud Data
Suspicious Data Access	Cloud Data, Network IDS/IPS, Authentication
Suspicious Data Movement	Firewall
Suspicious Domain Communication	Firewall, HTTP, DNS, ExternalAlarm
Suspicious Domain Name	HTTP, DNS
Suspicious Email	Email
Suspicious HTTP Redirects	HTTP
Suspicious IP Address Communication	Firewall, HTTP
Suspicious Network Connection	Firewall
Suspicious Network Exploration	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Suspicious New Access	Cloud Data
Suspicious Powershell Activity	AD (Windows Security Events). See Add Windows events to Splunk UBA
Suspicious Privilege Escalation	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Unauthorized Login Attempt	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Unusual Activity	Authentication, Network IDS/IPS
Unusual Activity Time	Authentication, Network IDS/IPS
Unusual Application Scope	External Alarm, Firewall, Network IDS/IPS
Unusual Badge Reader Access	Badge Access
Unusual Box Activity	Cloud Data
Unusual Cloud Storage Deletions	Cloud Data
Unusual Cloud Storage Downloads	Cloud Data
Unusual Database Activity	Database
Unusual External Alarm	External Alarm
Unusual File Extension	Cloud Data
Unusual Geolocation of Communication Destination	VPN
Unusual Machine Access	Authentication, Network IDS/IPS
Unusual Network Activity	Firewall
Unusual Printer Usage	Printer
Unusual Time of Badge Access	Badge Access
Unusual USB Activity	Endpoint, External Alarm
Unusual USB Device Plugged In	DLP
Unusual VPN Login Geolocation	Authentication, Network IDS/IPS
Unusual Web Browser	HTTP
Unusual Windows Login Events	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Unusual Windows Security Event	AD (Windows Security Events). See Add Windows events to Splunk UBA.
Unusually Long VPN Session	VPN
USB storage attached an unusually high number of times	DLP