Uncoder AI Automates MITRE ATT&CK Tagging in Sigma Rules

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How It Works

The MITRE ATT&CK framework is the gold standard for structuring detection logic by adversary techniques. But tagging Sigma rules manually with appropriate ATT&CK techniques is a time-consuming, detail-heavy task that requires expertise in both detection syntax and adversarial behavior mapping.

Uncoder AI changes that by automatically predicting MITRE ATT&CK tags for Sigma rules using a machine learning model hosted entirely within SOC Prime’s secure environment.

In the screenshot shown, a Sigma rule using encoded PowerShell execution is automatically tagged with:

  • attack.t1059.001 — PowerShell
  • attack.t1027 — Obfuscated Files or Information

This prediction happens in a single click, directly from the rule editor.

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Why It’s Innovative

SOC Prime pioneered ATT&CK tagging for Sigma rules back in 2018. Now, that methodology is embedded into Uncoder AI’s ML engine, trained on over 20,000 manually annotated Sigma rules—the largest curated dataset of its kind.

This AI tagging engine:

  • Runs fully within SOC Prime’s SOC 2-compliant cloud
  • Understands rule structure and detection logic—not just keywords
  • Aligns output with ATT&CK sub-techniques and tactics with high accuracy

It’s a breakthrough that brings scale and standardization to an otherwise slow, manual process.

Operational Value

  • Saves Time: Instantly adds ATT&CK context to new or existing rules.
  • Improves Coverage: Ensures technique mapping is consistent and gap-free.
  • Enhances Reporting: Structured tags make reporting to leadership or integration into purple team workflows seamless.
  • Strengthens Correlation: Enables better alignment with threat intelligence, emulation plans, and detection reporting.

It’s not just about tagging—it’s about unlocking strategic visibility into detection capabilities across the entire SOC.

From Manual Mapping to Instant Intelligence

With Uncoder AI, mapping Sigma rules to ATT&CK is no longer a bottleneck. It’s an automated step in the rule authoring workflow—privacy-preserving, explainable, and backed by the most mature Sigma tagging model in the industry.

One click, and your detection logic is ATT&CK-aligned.

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The post Uncoder AI Automates MITRE ATT&CK Tagging in Sigma Rules appeared first on SOC Prime.

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