How It Works
In fast-paced detection engineering, syntax mistakes and structural oversights happen — especially when working across multiple platforms or under tight response deadlines. Catching and fixing these issues manually is tedious, time-consuming, and often overlooked.
With Uncoder AI’s Syntax and Structure Validation, detection authors can now validate their rules — both syntactically and logically — in real-time using a secure, AI-powered engine.
In the use case above, a Splunk SPL detection is automatically reviewed. The system:
- Checks for correct usage of commands like
index=,eventcode=,stats,rex, andwhere - Analyzes logical flow between pipeline segments (
bin,group by,filter) - Flags any potential inefficiencies, regex complexity, or ambiguous logic
- Provides clear, line-by-line feedback in an organized summary view
This validation is powered by a locally hosted Llama 3.3 model, fine-tuned for detection engineering and running entirely within SOC Prime’s SOC 2-compliant private cloud infrastructure.
Why It’s Innovative
Unlike static linters or one-line validators, Uncoder AI goes beyond surface checks. It understands platform-specific logic, reviews the use of regular expressions, evaluates performance impact, and flags ambiguous logic — even when technically correct.
Highlights:
- Support for 56 detection languages, including Splunk SPL, Microsoft Sentinel KQL, Sigma, Elastic Stack, ArcSight, CrowdStrike Falcon LogScale, and more
- No data leaves the platform — queries are validated securely within SOC Prime’s infrastructure
- Actionable recommendations instead of vague syntax errors
- Context-aware interpretation of what the query is meant to do — not just how it’s written
Operational Value
- Saves Engineering Time: Eliminate hours lost to manual debugging.
- Accelerates Deployment: Get real-time feedback during rule development.
- Enables Junior Analysts: Help less experienced team members write solid, production-ready detections.
- Reduces Risk: Catch logic flaws that pass syntax checks — like overly broad filters or ineffective groupings.
- Keeps You Compliant: Aligns detection logic with schema requirements for Microsoft Sentinel and other supported platforms.
From Guesswork to Precision: AI as Your Syntax Co-Pilot
Every minute you spend debugging rule syntax is a minute you’re not detecting threats. With Uncoder AI’s validation capability, detection engineers can write, check, and improve their rules with AI-powered guidance — right inside the workflow. No exports. No context switching. Just instant answers, from a model trained to understand detection.
Now your rules aren’t just functional. They’re bulletproof.
The post Let AI Catch the Bugs: Uncoder AI Validates Detection Rule Syntax and Logic appeared first on SOC Prime.
