IOC Intelligence to Google SecOps: Automated Conversion with Uncoder AI

How It Works

This Uncoder AI feature processes structured threat reports, such as those in IOC (Indicators of Compromise) format, and automatically transforms them into actionable detection logic. The screenshot illustrates:

• Left Panel: A classic threat intelligence report under the “COOKBOX” campaign, showing extracted hashes, domains, IPs, URLs, and registry keys associated with malicious PowerShell activity.
  
• Right Panel: An AI-generated detection rule tailored for Google SecOps (UDM) syntax. The rule filters suspicious target.hostname values that match threat infrastructure linked to COOKBOX, such as shorturl.at , github.com , and bom02.gotdns.ch.
  

Uncoder AI uses natural language processing (NLP) and structured parsing to:

1. Identify key IOC elements (IPs, domains, URIs, registry paths).
   
2. Contextually understand the campaign behavior (e.g., obfuscated PowerShell execution).
   

Map relevant attributes to a supported detection language — here, Google SecOps Query.

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Why It’s Innovative

Traditional IOC ingestion requires manual formatting, contextual tagging, and SIEM-specific translation — a time-consuming process prone to human error. Uncoder AI eliminates these challenges by:

• Automatically extracting relevant observables from human-readable reports or raw IOC feeds.
  
• Contextualizing threats using LLMs trained on detection engineering semantics.
  
• Translating detection logic into multiple platforms (in this example, Google SecOps/UDM) with syntactic and semantic accuracy.
  

This is not a simple template fill-in — the AI tailors logic based on both threat behavior and the constraints of the detection language.

Operational Value

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

• Accelerated rule creation: From IOC to ready-to-deploy detection in seconds.
  
• Cross-platform compatibility: Rapid conversion into SIEM-specific formats eliminates vendor lock-in.
  
• Reduction in cognitive load: Analysts can focus on investigation rather than formatting.
  
• Improved detection coverage: High-fidelity logic ensures IOCs are not just logged but actively detected within telemetry.
  

By turning static threat intelligence into dynamic detection content, Uncoder AI bridges the gap between intelligence gathering and real-world defense.

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