
How It Works
Writing detection rules often starts with a question: What am I trying to find, and under what conditions? But even the best threat intel reports don’t come prepackaged in platform-ready syntax.
Uncoder AI’s Custom Prompt Generation bridges that gap. This feature allows users to input natural language descriptions of the behavior they want to detect — and automatically receive platform-specific query logic in response.

In the provided example, a user asks for three Splunk queries to detect APT29-related activity in environments where Windows logging is limited to defaults. Uncoder AI responds with:
- Detection logic targeting PowerShell misuse (
Invoke-Command
,Invoke-Expression
) - Credential access attempts (
lsass.exe
) - Domain-related enumeration and manipulation
Each query is written in Splunk SPL, complete with filtering logic, regex usage, event count thresholds, and user-friendly annotations.
Why It’s Innovative
Rather than selecting pre-built rules from a library, analysts can generate fresh detection content by describing exactly what they need. This is made possible by:
- LLM-backed processing (Llama 3.3) tuned specifically for detection engineering and threat behavior modeling
- Hosted in SOC Prime’s SOC 2 Type II private cloud, ensuring maximum IP protection and no external API dependency
- Ability to handle context-rich prompts — adapting queries to constrained environments, specific actor profiles, or known event log limitations
Unlike rigid rule templates, these prompts adapt to reality.
Operational Value
- On-Demand Detection Generation: Save hours writing rules manually — especially in reactive or incident-driven workflows.
- Tailored to Context: Prompts can reflect actual infrastructure limitations or investigation-specific needs.
- No Need to Master Syntax: Analysts describe the outcome, Uncoder AI writes the logic.
Secure and Private by Design: Data and instructions stay within SOC Prime’s infrastructure.
From Prompt to Precision in a Click
Uncoder AI transforms how SOCs write detections. Instead of digging through rule repositories or tweaking boilerplate templates, analysts just describe what they’re looking for — and Uncoder AI builds the queries. Whether responding to a threat report, reproducing a TTP, or creating environment-specific rules, the result is the same:
High-fidelity, high-context detection logic. Instantly. Privately. At scale.
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