The latest and greatest from Splunk Observability to help keep your entire stack up and running, no matter where it’s deployed or who’s troubleshooting.
Announcing the latest feature enhancements in Splunk IT Service Intelligence (ITSI) 4.19, designed to operationalize the way organizations manage their IT services.
Vulnerability, threat and risk are three fundamental concepts in cybersecurity. Learn from industry experts how they differ and play out in IT environments.
A cyber kill chain framework can help organizations to better understand and combat attacks. Learn about the evolution and applications of the cyber kill chain.
Threat hunting is a proactive approach that harnesses human intuition and creativity to identify and counter security incidents that may otherwise go undetected.
Incident severity levels indicate how an incident impacts your customers, so you can prioritize and respond appropriately. Learn how to define and use them.
DoS attacks have a long history, but they’re also predicted to get worse in 2023. Find out the many ways they work and learn to prevent them in the first place.
Announcing the General Availability of the SPL2 Profile for Edge Processor, containing the specific subset of powerful SPL2 commands and functions that can be used to control and transform data behavior within Edge Processor.
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.
Splunk Observability Cloud has several new enhancements to help engineering teams cut through the noise and troubleshoot faster with increased visibility across their environments and a more unified approach to incident response.
Splunk announces innovations and enhancements to the unified security and observability platform to help customers mitigate these challenges and build digital resilience.
An emerging data architecture, data lakehouses sure sound nicer than both data warehouses and data lakes — that’s because data lakehouses are nicer to use.