uberAgent Sigma Rule Coverage Explorer

Explore the Sigma rules supported by uberAgent ESA's Threat Detection Engine.


Sigma Rule Coverage by uberAgent Version

What's uberAgent ESA Threat Detection Engine?

Suspicious System & App Activity

uberAgent ESA's Threat Detection Engine makes system & application activity traceable and searchable. With its transparent, flexible ruleset and open architecture, uberAgent ESA is the ideal complement to your EDR.

Sophisticated Detections

Whether it's a suspicious process, an abnormal network connection, or other indicators of risk, uberAgent ESA efficiently flags such activities. Each detection translates into an event within your SIEM, e.g., Splunk, ensuring you're alerted to potential threats in near real-time.

Predefined and Customizable Rules

Armed with hundreds of predefined rules targeting widespread attack vectors, plus the ability to import Sysmon rules and Sigma signatures, uberAgent ESA is versatile out of the box. Users are encouraged to tailor and expand upon the existing ruleset to fit their unique security landscape.

Sigma Signature Compatibility

Meticulously crafted vast limits rules are complemented by third-party rules converted from the Sigma project. All ESA Threat Detection rules are accessible and maintained within the uberAgent Configuration GitHub repository, ensuring transparency and ease of updates.

MITRE ATT&CK Technique IDs

Each rule in uberAgent ESA is enriched with metadata, providing additional context such as MITRE ATT&CK technique IDs, and each event is tagged with a risk score for better assessment and prioritization.

Splunk Integration & Visualization

uberAgent comes with pre-built Splunk dashboards that visualize the collected data and allow for interactive queries. uberAgent's Threat Detection events are also automatically available in Splunk Enterprise Security.

uAQL: uberAgent's query language

uberAgent ESA's query language (uAQL) is an advanced query language designed for both human readability and machine speed. This synergy of ease-of-use and performance is what makes uberAgent ESA's ruleset both efficient and user-friendly.

Conversion Issues: 18

What's Sigma?

Generic Signature Format for SIEM Systems

Sigma is a generic and open signature format that allows you to describe relevant log events in a straightforward manner. It is designed to be both flexible and easy to write, with applicability to any type of log file.

The primary goal of the Sigma project is to create a structured way for researchers and analysts to document their detection methods once developed and share them with the community. This facilitates a collaborative approach to threat detection and enhances collective security knowledge.

In the world of digital forensics, Sigma's role is analogous to what Snort represents for network traffic analysis, and YARA for file analysis. It is a critical tool for the creation of sharable, scalable, and systematic rule sets for log event analysis.

Source: Sigma GitHub Repository

uberAgent Products


uberAgent UXM

uberAgent UXM covers all aspects of digital employee experience (DEX) . It tracks the reliability and performance of any physical or virtual machine, enabling enterprise IT to provide productive digital work environments.

uberAgent is more than just monitoring. It is an indispensable tool for all phases of the IT lifecycle, from analysis to design, implementation, operations, and troubleshooting. uberAgent helps IT pros understand end-users without invading their privacy.

  • Application reliability
  • Network diagnostics
  • Browser usage
  • OS performance
  • Citrix optimization
  • Web app troubleshooting

uberAgent ESA

uberAgent ESA adds deep security visibility to the rich DEX and performance metrics collected by uberAgent UXM. With its open architecture, uberAgent ESA is the ideal complement to EDR products.

uberAgent ESA and uberAgent UXM are perfectly integrated. Both products combined require only a single agent, guaranteeing the smallest possible footprint on the endpoint.

  • Insecure configurations
  • DFIR
  • Data exfiltration
  • Compliance
  • Risky behavior
  • Lateral movement