![]() ![]() Modified file hash search to use Endpoint DM Added additional authentication fields to Authentication by User for more context Added drilldowns to numerous panels that previously didn't with specific cell drilldowns that are called out in the search panel Added parent process panel to file/process dashboard under endpoint with filters for dest and user as well as a pivot on the process_name for better search-ability of spawned processes. Added drilldowns to tabular endpoint panels that pivot to the identity investigator when user is clicked on, asset investigator when src or dest is clicked on, file/process investigator when process_exec, process_name or parent_process_exec is clicked on. Added text/checkbox filters to many tabular panels to filter search results including Endpoint, Authentication, DNS, Web and Certificates However, if multiple values (IP Address, MAC, NT Hostname, Hostname) for assets are stored within ES, all values will be searched when using the asset investigator. SA-Investigator does not require population of Asset & Identity Framework to work. The Alexa (transitioning to the Cisco Umbrella 1M) list is also leveraged but if you are installing with Enterprise Security this will be available.Įnterprise Security is assumed to be installed due to workflow actions and certain drill-downs will take users to Enterprise Security dashboards. URL Toolbox is required for searches to populate a few of the panels within the DNS and Web tabs. Rather than searching all data for the asset you are looking for, target your investigation on the asset(s) or identity of interest and then pivot to authentication events or network traffic events that are pertinent to the asset(s) or identity under investigation. It provides a set of views based on the asset, identity or file/process. Getting Data In (GDI) is the process that you'll follow to ingest machine data into Splunk.įirst, let’s discuss some of the terminology and concepts that are important to bringing the right data in the right way.SA-Investigator is an extension built to integrate with Splunk Enterprise Security. ![]() The Splunk platform can index any kind of data, for example any and all IT streaming, machine, and historical data, such as Microsoft Windows event logs, web server logs, live application logs, network feeds, metrics, change monitoring, message queues, or archive files. The volume, type, and number of data sources influence the overall Splunk platform architecture, the number and placement of forwarders, estimated load, and impact on network resources. This normalization is especially important when you are ingesting data from multiple sources, which can cause problems if they are not standardized with a time synchronization mechanism. ![]() The CIM normalizes different data sources to use the same field name for consistency across all sources. For example, when you search for an IP address, different data sources may use different field names such as ipaddr, ip_addr, ip_address, or ip. The Splunk Common Information Model (CIM) is a “shared semantic model focused on extracting value from data.” It is used to normalize your data to match a common standard. You should then use data models to map your data to common fields with the same name so that they can be used and identified properly. ![]() Splunk Enterprise Security works most effectively when you send all your security data into a Splunk deployment to be indexed. Ingesting data correctly is a foundational step in your Splunk security implementation that, if done correctly, allows you to get the most value across your entire Splunk environment. ![]()
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