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Splunk Cloud PlatformSplunk EnterpriseData ManagementSplunk Observability CloudSplunk IT Service IntelligenceAppDynamics SaaSAppDynamics On-PremisesAppDynamics SAP AgentSplunk Enterprise Security 8Splunk Enterprise Security 7Splunk SOARSecurity OfferingsRelease Notes and UpdatesSupported Add-onsSplunk Style Guide

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Splunk Cloud Platform

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  3. Alert and Respond
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  5. Apply Machine Learning

Use AI Toolkit

Create, validate, manage, and operationalize machine learning models through a guided user interface.

Use Splunk App for Data Science and Deep Learning

Use popular containerized environments to allow for resource-intensive tasks to run externally, freeing your search head from computation-heavy workloads.

Splunk App for Anomaly Detection

Find anomalies in time-series datasets and use an end-to-end operationalization workflow to manage anomaly detection jobs.

AI Toolkit SPL API Reference

Import custom algorithms into the AI Toolkit with the machine learning extensibility API (ML-SPL API).

Splunk App for Data Science and Deep Learning Release Notes

View release notes and resources for Splunk App for Data Science and Deep Learning, including new features, known issues, fixed issues, and release history.

Splunk App for Anomaly Detection Release Notes

View release notes and resources for Splunk App for Anomaly Detection, including new features, known issues, fixed issues, and release history.

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Splunk Cloud Platform

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Data Management

Splunk Observability Cloud

Splunk IT Service Intelligence

AppDynamics SaaS

AppDynamics On-Premises

AppDynamics SAP Agent

Splunk Enterprise Security 8

Splunk Enterprise Security 7

Splunk SOAR

Security Offerings

Release Notes and Updates

Supported Add-ons

Splunk Style Guide

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