AI Validation for Sentinel Queries: Smarter KQL with Uncoder AI – Source: socprime.com

How It Works

This Uncoder AI feature automatically analyzes and validates detection queries written for Microsoft Sentinel using Kusto Query Language (KQL). In this example, the input is a multi-condition search query designed to identify domain names linked to the SmokeLoader campaign (CERT-UA references shown).

The left panel shows the detection logic:

search (@”dipLombar.by” or @”dubelomber.ru” or @”iloveua.in” … )

The query uses literal string matching to detect specific threat domains.

The right panel displays AI-generated validation output, where Uncoder AI dissects the query into its syntactic and semantic components:

• Correct use of KQL syntax (search , @ for literals, or operators).
  
• Performance implications (e.g., large number of OR conditions, no wildcard usage).
  
• Schema correspondence advice for better data alignment.
  

Suggestions for maintainability (e.g., using in operator or joining from a lookup table).

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Why It’s Innovative

Security engineers often work under pressure and lack the time or context to deeply review the technical and performance aspects of every query. Traditionally, detection queries are:

• Written ad hoc without optimization.
  
• Rarely documented or performance-tuned.
  

Uncoder AI solves this by:

• Parsing the query structure with LLMs trained on KQL and detection engineering best practices.
  
• Providing clear, actionable suggestions — not just rule correctness, but better ways to query based on data volume and use case.
  

This elevates Uncoder AI beyond code generation — it becomes an expert assistant embedded in the detection pipeline.

Operational Value

For SOC teams and detection engineers, the benefits are immediate:

• Reduced trial-and-error: Validation ensures logic runs as expected before deployment.
  
• Higher performance: Optimized syntax improves efficiency at scale.
  
• Cross-skill enablement: Even junior analysts gain expert-level insights into KQL usage.
  
• Faster tuning: AI advice accelerates detection refinement cycles across environments.
  

In essence, Uncoder AI doesn’t just write queries — it thinks with you, validates in real time, and enables precision detection engineering in platforms like Microsoft Sentinel.

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