Splunk Built

Splunk Security Essentials for Fraud Detection

Splunk Security Essentials for Fraud Detection
Learn how Splunk Enterprise may be used to detect various forms of fraud using the example scenarios in Splunk Security Essentials for Fraud Detection. These detection use cases were implemented using the Search Processing Language (SPL) and the Machine Learning Toolkit (MLTK). The use cases include example data sets so you may run them yourself. After learning about these examples, you can start to experiment with similar scenarios with your own data using Splunk Enterprise. Attention: This application contains a large example data set so some dashboards may be slow to load.
Splunk Built

Splunk ES Content Update

Splunk ES Content Update
This subscription service delivers pre-packaged Security Content for use with Splunk Enterprise Security. Subscribers get regular updates to help security practitioners more quickly address ongoing and time-sensitive customer problems and threats. Requires Splunk Enterprise Security version 4.5 or greater.
Splunk Built

Splunk Enterprise 7.0 Overview

Splunk Enterprise 7.0 Overview
Release 7.0 is the latest version of Splunk Enterprise and Splunk Cloud. We have developed an app to guide you through the powerful new features. This is not an in-depth tutorial, rather a guide to help you understand the new features, and to provide examples as well as sample reports, dashboards and visualizations.
Splunk Built

Splunk Security Essentials for Ransomware

Splunk Security Essentials for Ransomware
Splunk Security Essentials for Ransomware is an app designed to help Splunk software users manage their risk and response to WannaCry and similar types of ransomware. The app provides you a starting point that you can customize to work in your specific environment. Splunk Security Essentials for Ransomware includes more than a dozen use cases that allow you to measure how effectively you are reducing the risk of WannaCry and similar exploits, as well as searches which can help detect the effects of ransomware within your enterprise. This app uses Splunk Enterprise and the Splunk Search Processing Language (SPL) to showcase working examples of detection and best practices to be employed in your environment to prevent ransomware infections.
Splunk Built

Splunk Machine Learning Toolkit

Splunk Machine Learning Toolkit
The Splunk Machine Learning Toolkit App delivers new SPL commands, custom visualizations, assistants, and examples to explore a variety of ml concepts. Each assistant includes end-to-end examples with datasets, plus the ability to apply the visualizations and SPL commands to your own data. You can inspect the assistant panels and underlying code to see how it all works. ML Youtube Playlist http://tiny.cc/splunkmlvideos ML Cheat Sheet http://tiny.cc/mlcheatsheet Assistants: * Predict Numeric Fields (Linear Regression): e.g. predict median house values. * Predict Categorical Fields (Logistic Regression): e.g. predict customer churn. * Detect Numeric Outliers (distribution statistics): e.g. detect outliers in IT Ops data. * Detect Categorical Outliers (probabilistic measures): e.g. detect outliers in diabetes patient records. * Forecast Time Series: e.g. forecast data center growth and capacity planning. * Cluster Numeric Events: e.g. Cluster Hard Drives by SMART Metrics
Splunk Security Essentials for Fraud Detection
Splunk ES Content Update
Splunk Enterprise 7.0 Overview
Splunk Security Essentials for Ransomware
Splunk Machine Learning Toolkit

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