Splunk User Behavior Analytics
Machine learning software
Security information and event management (SIEM) software
Insider threat management (ITM) software
User and entity behavior analytics (UEBA) software
System security software
User threat prevention software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Splunk User Behavior Analytics
Splunk User Behavior Analytics (UBA) is a UEBA and insider-threat detection product that applies machine learning to security and IT telemetry to identify anomalous user and entity activity. It is used by security operations teams to investigate suspicious behavior such as compromised accounts, lateral movement, and data exfiltration indicators. The product typically integrates with Splunk’s data platform and security workflows to correlate events and prioritize investigations. It emphasizes behavioral baselining and risk scoring to surface notable users, devices, and peer-group anomalies.
Behavioral anomaly detection
The product applies machine-learning techniques to establish baselines for users and entities and then flags deviations from expected patterns. This supports detection of threats that do not rely on known signatures, such as account misuse and unusual access paths. It also uses peer-group style comparisons to highlight outliers within similar roles or populations. These capabilities align with UEBA use cases where raw event volume makes manual review impractical.
Integrates with Splunk ecosystem
Splunk UBA is designed to work with Splunk’s broader data ingestion, search, and security operations tooling. This can reduce duplication when an organization already centralizes logs and events in Splunk, and it supports correlation with other security data sources. It also enables investigations to pivot from behavioral findings into underlying events for context. For Splunk-centric environments, this can simplify operational handoffs between detection and response workflows.
Risk scoring and prioritization
The product aggregates multiple anomalies into risk scores to help analysts focus on higher-priority users and entities. This supports triage by reducing the need to evaluate every individual alert in isolation. It can also provide timelines and contributing factors that explain why a user or host is considered risky. These features help SOC teams manage alert fatigue and structure investigations.
Data quality dependency
UEBA outcomes depend heavily on the completeness and consistency of identity, authentication, endpoint, and network telemetry. Gaps in logging, inconsistent user identifiers, or limited historical data can reduce model effectiveness and increase false positives or missed detections. Organizations often need to invest in normalization and identity mapping to get reliable results. This can extend time-to-value compared with simpler rule-based detections.
Operational complexity and tuning
Deploying and maintaining behavioral analytics typically requires ongoing tuning, investigation playbooks, and periodic review of model outputs. Changes in business processes (new applications, reorganizations, remote-work shifts) can alter baselines and require recalibration. Analysts may need training to interpret behavioral findings and avoid over-escalation. As a result, the product can be more resource-intensive than basic SIEM alerting.
Cost and infrastructure considerations
Running UEBA at scale can require substantial data ingestion, storage, and compute, especially in high-volume environments. Licensing and operational costs may increase as telemetry sources and retention needs expand. Organizations may also need to plan for integration work across identity providers, endpoints, and cloud services. These factors can make budgeting and scaling more complex than lighter-weight security analytics tools.
Plan & Pricing
Pricing model: Pay-as-you-go / usage-based
How Splunk UBA is licensed (official):
- Ingest pricing (GB/day): UBA is available as an add-on to Splunk Enterprise Security and can be licensed based on daily data ingestion (GB/day). The UBA ingest option has a published minimum capacity (see notes).
- Per-monitored-account pricing: Splunk UBA is also available as a standalone offering licensed by the number of "User Behavior Analytics Monitored Accounts" (monitored accounts from Active Directory/LDAP/etc.).
Free tier / trial: Sandbox/test in cloud is available on request (contact sales).
Example costs / public minima:
- No public USD list prices are published on Splunk's web site for UBA. Splunk states the UBA ingest option "begins at 100 GB/day" (capacity minimum) but does not publish per-GB or per-account dollar amounts.
Discounts / notes:
- Splunk states that volume discounts are available for both the ingest-based and per-monitored-account pricing models.
- Splunk directs buyers to "Contact Sales" or marketplaces (AWS/Google) for purchasing and specific pricing/estimates.
(Information extracted only from Splunk official pages: product and pricing pages, pricing FAQs, and licensed capacity/legal docs.)
Seller details
Cisco Systems, Inc.
San Jose, California, USA
1984
Public
https://www.cisco.com/
https://x.com/Cisco
https://www.linkedin.com/company/cisco/
