Uncoder IO supports automated translation of RootA and Sigma rules into multiple SIEM, EDR, XDR, and Data Lake formats.

-**Sigma** is a generic and open signature format that allows you to describe relevant log events in a straightforward manner, which received industry adoption across 155 countries by over 8000 organizations according to SOC Prime's download and translation statistics.

- **RootA** RootA is an open source language which supports query definition directly in specific SIEM languages, vendor-agnostic correlation syntax, MITRE ATT&CK 14.0 for code autocompletion, log source taxonomy autocomplete function based on Amazon's OCSF or Sigma. RootA+Uncoder serve as the first bridge towards full cyber security languages compatibility, where one day, knowing one speicific language (say SPL or KQL) or generic language (say RootA or Sigma) would mean that you have master expertise in them all. This way, your complex detection logic can be rendered in other languages in an automated fashion. In case a native rule or query contains functions unsupported by RootA or target technology, those functions won’t be translated, with a corresponding note appended to the code translation. This is done so that experts can either manually complete translations if they know both source and destination languages, or use Uncoder AI to manually take care of such scenarios. If sharing with Sigma was easy, sharing with RootA is natural and future proof.

- **RootA** is an open source language which supports query definition directly in specific SIEM languages, vendor-agnostic correlation syntax, MITRE ATT&CK 14.0 for code autocompletion, log source taxonomy autocomplete function based on Amazon's OCSF or Sigma. RootA+Uncoder serve as the first bridge towards full cyber security languages compatibility, where one day, knowing one speicific language (say SPL or KQL) or generic language (say RootA or Sigma) would mean that you have master expertise in them all. This way, your complex detection logic can be rendered in other languages in an automated fashion. In case a native rule or query contains functions unsupported by RootA or target technology, those functions won’t be translated, with a corresponding note appended to the code translation. This is done so that experts can either manually complete translations if they know both source and destination languages, or use Uncoder AI to manually take care of such scenarios. If sharing with Sigma was easy, sharing with RootA is natural and future proof.