Full Report
How It Works Uncoder AI makes it easy to translate Sigma rules into detection formats used by 48 different platforms. Users simply select the desired output language—like Splunk, Sentinel, or CrowdStrike Falcon—and Uncoder AI instantly generates a syntactically valid detection in the chosen format. The translation happens entirely within SOC Prime’s infrastructure, ensuring privacy and […] The post Translate from Sigma into 48 Languages appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Uncoder AI (Sigma Translation Engine)
## Overview
Uncoder AI is an IDE and automated translation engine designed to convert detection logic, primarily written in the open-source Sigma format, into 48 other production-ready detection languages for various security platforms. Its main purpose is to ensure detection portability across disparate security tools, eliminating the need for manual rewriting and expertise in multiple query languages.
## Technical Details
- Type: Attack Tool (Detection Engineering/Translation Tool)
- Platform: Supports translation for SIEMs (Splunk, Sentinel, Elastic, Devo, OpenSearch), XDR platforms (Cortex XDR, CrowdStrike), cloud tools, and Detection-as-Code pipelines (STIX, StreamAlert).
- Capabilities: Translates Sigma rules into 48 different security languages/formats for cross-platform deployment.
- First Seen: April 25, 2025 (Date of article publication).
## MITRE ATT&CK Mapping
This tool primarily supports the **Defense Evasion** and **Detection** aspects of the adversary lifecycle by aiding defenders in creating robust, portable detections. Since it is a defense-centric tool, direct adversary TTP mappings are less applicable, but it relates to the concept of **Detection** coverage.
- **TA0005 - Defense Evasion** (Indirectly, by enabling consistent, rapidly deployed detections that catch evading techniques)
- **T1620 - Software Discovery** (By enabling defenders to quickly create rules for finding artifacts indicative of evasion tools)
- **TA0011 - Command and Control** (Indirectly, by facilitating rules for C2 traffic detection)
*Note: As a translation engine, it does not map directly to an adversary technique but aids in the implementation of detection techniques across various MITRE tactics.*
## Functionality
### Core Capabilities
- **Multi-language Translation:** Translates Sigma rules into 48 different target languages/formats.
- **Ecosystem Support:** Explicitly supports formats for major SIEMs (Splunk, Sentinel, Elastic), XDRs (Cortex XDR, CrowdStrike), and cloud environments.
- **Detection Unification:** Allows security teams to define detection logic once (in Sigma) and deploy it consistently everywhere ("Translate Once, Deploy Anywhere").
### Advanced Features
- **Industry-Largest Compatibility:** Marketed as the largest Sigma-compatible translation engine in the industry.
- **Detection-as-Code Pipeline Integration:** Facilitates the use of Detection-as-Code workflows by supporting formats like STIX and StreamAlert.
- **Friction Reduction:** Minimizes manual rewriting overhead and the need for platform-specific query language expertise.
- **Migration Acceleration:** Aids organizations consolidating or modernizing their security platforms by preserving detection fidelity during transitions.
## Indicators of Compromise
As this is a tool for detection engineering (a defensive utility), it does not generate traditional Indicators of Compromise associated with malware.
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: N/A
- Behavioral Indicators: N/A
## Associated Threat Actors
This tool is associated with **Defenders, Detection Engineers, and Security Operations Centers (SOCs)** utilizing SOC Prime's platform to improve threat detection capabilities.
## Detection Methods
Detection focuses on the usage of the ancillary tools or the output generated by Uncoder AI, rather than the tool itself which is intended for defense.
- Signature-based detection: N/A
- Behavioral detection: Monitoring for the automated deployment of security rules across multiple platforms based on a unified source (Sigma).
- YARA rules: N/A
## Mitigation Strategies
Since Uncoder AI is a defensive utility, mitigation focuses on its effective deployment and integration into security practices.
- Prevention measures: Integrate automated translation tools into the Detection-as-Code (DaC) pipeline to ensure comprehensive and rapid rule deployment.
- Hardening recommendations: Ensure that Sigma rules imported or generated adhere to organizational security standards before deployment across production environments.
## Related Tools/Techniques
- **Sigma:** The primary input language for translation.
- **STIX:** A format often used in Detection-as-Code pipelines that Uncoder AI can translate criteria into.
- **Roota:** Mentioned as an open-source language for collective cyber defense, suggesting integration efforts within the SOC Prime ecosystem.