Ever wanted to see and experience your data in 3D? Splunk VR unlocks the third dimension for data visualizations, so you can naturally interact with visualizations in virtual reality and find insights faster than ever before. Use Splunk VR to give your workflow an infinite canvas, free your data exploration from limited monitor screens, and display as much information as you want around you.
The global pandemic has fueled a rapid digital transformation — and led to permanent shifts in cybersecurity. In a recent joint webinar with Bryan McAninch, senior solutions engineer at Splunk, and guest speaker Chris Kissel from IDC, "Sp(e)lunking Security with MITRE ATT&CK® featuring IDC Research," they shared seven overarching trends in cybersecurity for 2021. One notable, but foundational, trend mentioned was the need to understand risk.
We’re thrilled to share the news that Splunk has been named a Leader in The Forrester Wave™: Security Analytics Platforms, Q4 2020. It’s an honor to be named a Leader by Forrester. We view it as an affirmation of our commitment to customer success and a reflection of our ability to understand their needs. Through close collaboration with our customers, we have developed innovative solutions to protect their data hosted in on-premises, hybrid or multi-cloud environments.
Last year at .conf19, we announced the GA release of Splunk TV, our free app for Apple TV that provides users with a secure, reliable, read-only platform to display Splunk dashboards on their TVs. Splunk TV was built with security in mind, to power your SOCs and NOCs. Using Splunk TV instead of running dedicated computers to power each screen saves money and increases security. The read-only experience eliminates the risk of someone with physical access tampering with your environment.
It was over a month ago that I promised we would tie together Splunk Security Content and the Splunk Attack Range to automatically test detections. Ultimately, using these projects together in a Continuous Integration / Continuous Delivery (CI/CD) workflow with CircleCI brings the rigors of software development to the SOC and truly treats 🛡detection as code. Well, I want to share how we have failed at achieving this goal.
Well, it’s been a while since you read a blog dedicated to the latest release – okay, the latest several releases – of Splunk Security Essentials (SSE). We have been busy behind the scenes, however, so let’s catch you up on SSE’s latest features, which include the new version of our content API, and externally with updates from MITRE and the release of ATT&CK v7.2 (with Sub-Techniques) and ATT&CK v8.
We are excited to announce that Splunk Infrastructure Monitoring has achieved Outposts Ready designation. This designation recognizes that Splunk provides proven solutions for customers to build, manage and run hybrid cloud applications. AWS Outposts Ready designation establishes Splunk as an AWS Partner Network (APN) member that provides validated integrations with a specific focus on observability and monitoring of AWS Outposts deployments.
We are excited to partner with AWS in launching Amazon EKS Distro (EKS-D), the official Amazon Kubernetes distribution, which includes the same secure, validated, and tested components that power Amazon EKS. Splunk Infrastructure Monitoring provides a turn-key, enterprise-grade Kubernetes monitoring solution for Amazon EKS. Additionally, Splunk Infrastructure Monitoring provides out-of-the-box monitoring of Kubernetes Control Plane.
When analysing data one of the biggest questions you may often face is: what is causing this situation? In this blog, we’re going to look at how causal inference can be used to understand in more detail what the biggest influencing factors are across a dataset. Traditionally in Splunk, we talk about correlation; does metric x go up or down in accordance with metric y or is there a relationship between x and y?
Splunk Cloud’s ecosystem of apps and technical add-ons boasts a comprehensive set of input sources that enrich customer data insights. Many of these inputs reside in Cloud contexts, such as AWS, Salesforce, Azure, GCP, and many others. The Inputs Data Manager was introduced to aid the ingestion of these cloud data sources. As a result, in many cases, customers no longer need to host their own infrastructure to run scripted and modular inputs.
