Best User and Entity Behavior Analytics (UEBA) Software for Squadcast
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Compare the Top User and Entity Behavior Analytics (UEBA) Software that integrates with Squadcast as of December 2025
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This a list of User and Entity Behavior Analytics (UEBA) software that integrates with Squadcast. Use the filters on the left to add additional filters for products that have integrations with Squadcast. View the products that work with Squadcast in the table below.
What is User and Entity Behavior Analytics (UEBA) Software for Squadcast?
User and entity behavior analytics (UEBA) software enables organizations to understand the typical behavior patterns of users and hardware inside of a particular network in order to more easily identify anomalies and potential threats. Compare and read user reviews of the best User and Entity Behavior Analytics (UEBA) software for Squadcast currently available using the table below. This list is updated regularly.
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Graylog
Graylog
Graylog Security combines AI, machine learning, and behavioral analytics to help teams detect and respond to threats that traditional rules miss. Its User and Entity Behavior Analytics (UEBA) continuously learns what normal activity looks like across users, hosts, and applications, adapting to new behaviors and risks over time. By correlating anomalies with log, asset, and threat intelligence data, Graylog highlights meaningful threats—such as insider activity or credential misuse—while filtering out false positives. Built-in AI summarization and guided investigation workflows give analysts clear context and faster triage, turning complex data into confident, timely decisions.Starting Price: $1250/month -
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Rapid7 InsightIDR
Rapid7
With the cloud architecture and intuitive interface in InsightIDR, it's easy to centralize and analyze your data across logs, network, endpoints, and more to find results in hours—not months. User and Attacker Behavior Analytics, along with insights from our threat intel network, is automatically applied against all of your data, helping you detect and respond to attacks early. In 2017, 80% of hacking-related breaches used either stolen passwords and/or weak or guessable passwords. Users are both your greatest asset and your greatest risk. InsightIDR uses machine learning to baseline your users' behavior, automatically alerting you on the use of stolen credentials or anomalous lateral movement.
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