Uncoder AI Automates Cross-Language Rule Translation with Hybrid AI

How It Works

Translating detection logic across security platforms is a complex task often constrained by syntax mismatches and context loss. SOC Prime’s Uncoder AI resolves this by applying a hybrid translation model powered by both deterministic parsing and artificial intelligence.

In this case, a detection rule written in Microsoft Sentinel’s Kusto Query Language (KQL) is automatically translated into Splunk Search Processing Language (SPL). The system extracts fields from structured telemetry ( MessageData , ClusterID , WorkspaceID , etc.) and applies filtering conditions such as "malware" presence in the message body.

Uncoder AI performs this transformation in seconds — converting both the structure and intent of the rule — and highlights any unmapped fields for analyst review. The output also includes a platform-neutral Sigma rule, enabling further reuse across other supported formats.

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Under the Hood: AI-Enhanced Detection Conversion

Uncoder AI uses a hybrid system:

• Native translation modules handle known syntax and structural mappings.
  
• For complex logic, it integrates generative AI (GPT-4o-mini) to interpret intent, restructure logic, and adapt unsupported elements.
  
• Flagged elements are displayed in a debug console, ensuring full visibility and analyst control.
  

Why It’s Innovative

What sets Uncoder AI apart is its seamless combination of AI reasoning and platform-native logic. Instead of treating detection translation as a static conversion, it understands the intent behind detection patterns and applies flexible transformations — even across platforms with fundamentally different data schemas.

With support for 10+ source languages and 21+ output platforms, Uncoder AI covers nearly the entire modern SIEM landscape, including:

• Microsoft Sentinel
  
• Splunk
  
• Sigma
  
• Elastic Stack
  
• Falcon LogScale
  
• Cortex XDR
  
• QRadar
  
• Graylog
  
• Google SecOps
• AWS Athena

…and many others.

Unlike templates or rule libraries, Uncoder AI builds custom translations — driven by real logic and AI-backed context.

Operational Value

• Zero-to-Query in Seconds: Translate complex detection logic instantly, without writing platform-specific syntax.
  
• AI-Augmented Accuracy: Preserve behavioral fidelity when translating detection content across environments.
  
• Transparency by Design: Highlighted unmapped fields and Sigma generation ensure clarity in every translation.
  

Maximum Portability: Organizations can unify detection strategy across multi-SIEM deployments.

The Real Result: From AI Insight to Detection at Speed

Uncoder AI isn’t just simplifying detection engineering — it’s redefining it. By combining rule-aware syntax parsing with advanced AI-generated logic conversion, SOC Prime gives security teams a faster, smarter way to operationalize detection content across the stack. No more silos, rewrites, or time lost chasing syntax.

With Uncoder AI, cross-platform detection translation becomes an AI-powered force multiplier — not a migration bottleneck.

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