Full Report
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 […] The post AI Validation for Sentinel Queries: Smarter KQL with Uncoder AI appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Uncoder AI
## Overview
Uncoder AI is a tool designed to assist in detection engineering, specifically by optimizing and validating Kusto Query Language (KQL) queries, particularly within the context of Microsoft Sentinel. It leverages Large Language Models (LLMs) trained on KQL and threat detection best practices to provide suggestions that improve query logic, performance, and overall detection efficacy.
## Technical Details
- Type: Tool (AI-Powered Detection Engineering Assistant)
- Platform: Primarily targets KQL environments like Microsoft Sentinel.
- Capabilities: Validates KQL syntax and logic, suggests performance optimizations, provides suggestions based on data volume and use case, acts as an expert assistant for detection refinement.
- First Seen: Not explicitly stated in the text, but the article is dated June 12, 2025.
## MITRE ATT&CK Mapping
*The provided text focuses on defense/detection engineering rather than adversary TTPs. Therefore, direct standard MITRE ATT&CK mappings for offensive techniques are not applicable. However, it relates to **Resource Development** and **Tactic Testing** if viewed from a defender's capability enhancement perspective.*
- **Tactic (Conceptual):** Resource Development (TA0042) or Detection Engineering (If a dedicated tactic existed)
- **Technique (Conceptual):** Improve Detection Content (T1572 - related to optimizing detection logic)
## Functionality
### Core Capabilities
- **AI Validation:** Verifies the correctness and logical structure of KQL queries.
- **Suggestion Engine:** Offers clear, actionable advice on improving queries beyond mere correctness, focusing on efficiency and use case fit.
- **Expert Assistance:** Functions as an expert system embedded in the detection pipeline to guide analysts.
### Advanced Features
- **Performance Optimization:** Generates optimized KQL syntax to improve query efficiency, especially critical at scale.
- **Cross-Skill Enablement:** Allows junior analysts to benefit from expert-level insights regarding KQL usage.
- **Real-time Feedback:** Facilitates faster detection refinement cycles through immediate AI advice.
## Indicators of Compromise
This tool is a legitimate security utility for defenders. Therefore, traditional IOCs like malware hashes or C2 servers are not applicable.
- 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 legitimate **Blue Team/Detection Engineering personnel** and **Security Operations Centers (SOCs)** utilizing Microsoft Sentinel primarily.
## Detection Methods
The focus is on the *output* (KQL queries), not the tool itself as a threat. Detection would focus on monitoring for unauthorized or suspicious query generation/execution if analyzing internal security concerns regarding tool usage integrity.
- Signature-based detection: N/A
- Behavioral detection: N/A
- YARA rules if available: N/A
## Mitigation Strategies
Since this is a defensive tool:
- **Prevention measures:** Ensure access controls are in place for the Uncoder AI platform or integrations used by detection teams.
- **Hardening recommendations:** Integrate security validation checks during the deployment pipeline for detection content (Detection as Code principles).
## Related Tools/Techniques
- SIEM Platforms (e.g., Microsoft Sentinel) where KQL is used.
- Other tools focused on Detection as Code engineering (e.g., Sigma converters).
- General purpose LLM tools used for code generation (e.g., Github Copilot, ChatGPT) applied to security queries.