AI-Powered Query Validation for Cortex XSIAM Detection

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How It Works

Uncoder AI parses detection logic written for Palo Alto Cortex XSIAM and performs real-time validation based on both syntax rules and semantic expectations of the platform. In the screenshot, the query targets suspicious command-line executions and network activity related to UAC-0185 (CERT-UA#12414), such as PowerShell obfuscation, MSHTA abuse, and outbound connections to malicious IPs.

Left Panel – Cortex XSIAM Query:

The logic filters on:

Specific event_id and process_name combinations (e.g., powershell.exe , mshta.exe)
Malicious command_line patterns
Known suspicious dst_ip and dst_port values
User-agent strings suggesting browser-based delivery

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Right Panel – AI-Generated Validation:

Uncoder AI breaks down the query into:

Structure & Format – Ensures use of filter, and, or, parentheses, and quotations is correct.
Field Mapping – Confirms fields like command_line, dst_ip, dst_port, and user_agent match expected schema types.
Operator Usage – Checks that contains and in are used correctly.
Performance Tips – Advises where performance may degrade (e.g., replacing contains with exact matches where viable).
Syntax Safety – Confirms the query is free of parsing or logical flaws.

Why It’s Innovative

Traditionally, writing and validating Cortex XSIAM detection logic requires deep familiarity with the platform’s schema, field types, and performance nuances. Errors can lead to:

Missed detections from subtle syntax issues
Slow queries due to inefficient constructs
Misuse of logical operators or fields

Uncoder AI solves this by:

Leveraging LLMs trained on SIEM-specific query languages and logic patterns
Instantly validating field names, operators, and structure
Recommending performance optimizations automatically

It serves as a real-time code reviewer, ensuring accuracy before deployment.

Operational Value

For detection engineers and SOC teams:

Prevents deployment of broken logic that would silently fail or miss threats
Reduces reliance on Cortex XSIAM documentation or trial-and-error tuning
Accelerates development of reliable detections for emerging threats like UAC-0185
Improves query efficiency, directly impacting SIEM speed and capacity

With Uncoder AI, Cortex XSIAM users can confidently convert threat intelligence into performant, verified detection rules in seconds.

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The post AI-Powered Query Validation for Cortex XSIAM Detection appeared first on SOC Prime.

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