/ Product Profile
    Splunk

    User Behavior Analytics

    Uses machine learning to analyze the behavior of users, devices, and applications to detect unusual or anomalous activities including insider threats and compromised accounts.

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    Considering User Behavior Analytics?

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    Core capabilities

    Alert fatigue reduction through automated threat prioritization
    Behavioral anomaly detection for users and entities using machine learning
    Entity risk scoring and multi-entity correlation across systems
    Insider threat detection including compromised credentials and lateral movement

    Common use cases

    01

    Account misuse prevention

    02

    Compromised credential identification

    03

    Insider threat detection

    04

    Lateral movement detection

    Things to consider

    Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.

    Ask Picari about Splunk User Behavior Analytics

    Splunk User Behavior Analytics pricing and integrations

    For Splunk User Behavior Analytics integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.

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    Profile last updated on 7 September 2026 by Picari.