![]() ![]() Data models provide a schema for all fields and sourcetypes. ![]() This makes for a smooth end-user experience and shortens implementation times dramatically as everything from data creation to dashboarding is coming from a single provider.ĬIM-compliant event tags are automatically applied to the data collected by uberAgent. UberAgent comes with 60+ Splunk dashboards that visualize all of the metrics collected by the agent. UberAgent can send data either to a locally installed Universal Forwarder, which then forwards it to the Splunk backend or directly to Splunk Enterprise or Cloud. Web app monitoring (all major browsers).Extensive contextual information (inventory, app usage, performance).uAQL query language (processed on the endpoint).Similar to Universal Forwarder, the agent’s capabilities can be extended through scripts whose output is captured. All in all, uberAgent ESA collects data from about 80 different categories. Also, it does not stop at machine boot and user logon duration. In addition to the above, uberAgent collects detailed information about application performance, network connections, web apps, and Citrix. The product also includes a converter for Sigma detection rules. uberAgent ESA ships with an extensive predefined rule set covering some of the most significant endpoint security use cases. Activity monitoring rules are processed on the endpoint for maximum efficiency. UberAgent ESA comes with an activity monitoring engine that efficiently detects risky behavior and flags the corresponding event for further analysis in Splunk. In terms of security (uberAgent ESA) as well as user experience and performance (uberAgent UXM), uberAgent is focused on providing deeper visibility into user and application activity In cases where there is an overlap in functionality with the UF, uberAgent often generates less data volume (e.g., network monitoring). It typically needs fewer CPU and memory resources when compared to Splunk Universal Forwarder. UberAgent is optimized for a small footprint and minimal data volume. It can be used in conjunction with Universal Forwarder or standalone. UberAgent is a Windows and macOS endpoint agent developed by vast limits. It also supports advanced options such as indexer acknowledgment and persistent disk queues. It supports TLS encryption for both protocols. The Splunk Universal Forwarder can send data to Splunk backends either via TCP or HTTP. The ability to run arbitrary tools or scripts (such as PowerShell on Windows systems), collect their output and send it to Splunk makes Universal Forwarder a versatile tool, and useful in many different scenarios. In addition to the above, Universal Forwarder can collect data from various sources specific to Windows: performance counters, WMI, registry changes, Active Directory changes, network activity, host inventory and printing. It supports a number of generic data sources that are important in the context of information security: Splunk Universal Forwarder is an agent for getting endpoint data into Splunk Enterprise or Cloud. It supports the same broad range of platforms (including Windows, macOS, and Linux) and is configured in a similar manner to data collection on Splunk Enterprise/Splunk Cloud. Splunk Universal Forwarder (UF) is Splunk’s default method for collecting and forwarding remote data. In this post we look at different endpoint activity data sources, comparing the benefits and capabilities of Splunk Universal Forwarder with vast limits uberAgent and homegrown solutions. Many threats originate from the endpoint and detecting them requires insights into what happens on the endpoint. This is a guest blog post from Helge Klein, founder and managing director at vast limits, the uberAgent company. ![]()
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