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Introducing Edge Processor: Next Gen Data Transformation
Splunk Edge Processor, a service offering within Splunk Cloud Platform, is designed to help customers achieve greater efficiencies in data transformation close to the data source, and improved visibility into data in motion.

Building Digital Resilience for SecOps, ITOps and DevOps
Splunk announces innovations and enhancements to the unified security and observability platform to help customers mitigate these challenges and build digital resilience.

Bring More ML to Splunk: Inference Externally Trained ONNX Models in MLTK 5.4.0
The Splunk Machine Learning ToolKit (MLTK) now enables users to upload their pre-trained models in MLTK with a simple UI.

Securely Access your Information in Splunk AR: Splunk FileLink
We’re excited to share that Splunk FileLink is now available to all Splunk AR customers! This makes securely accessing your information in Splunk AR easier allowing you to reduce MTTR.

Communicating Context Across Splunk Products With Splunk Observability Events
Learn how Alert Actions and Adaptive Response can help you tie your Splunk, Enterprise Security, IT Service Intelligence and Observability data together.

2022: A deluge of awards for Splunk France
In 2022, the Splunk France team took home a deluge of awards for their Cybersecurity work with retail giant Carrefour, and we couldn't be more proud!

What's New in Splunk AR
Learn about our powerful new set of features for Splunk AR, along with the launch of Splunk AR for Android Private Preview.

Dynamic Data: Data Retention Options in Splunk Cloud Platform
Discover how Splunk Cloud Platform provides customers flexibility and choice on how their data is managed to address the needs of a diverse set of use cases and retention schemes.

Introducing the Splunk App for Data Science and Deep Learning 5.0
Exciting news: The Deep Learning Toolkit App for Splunk (DLTK) will be renamed the Splunk App for Data Science and Deep Learning (DSDL). It’s slightly lengthy, but a better-suited name because the app is useful for both deep learning and data science operations.