Full Report
How It Works Threat reports often contain valuable Indicators of Compromise (IOCs) — hashes, IP addresses, domain names — that security teams need to operationalize quickly. But manually copying and converting them into queries for platforms like Microsoft Sentinel is slow, error-prone, and distracting from real response. Uncoder AI eliminates this bottleneck by automatically extracting […] The post From IOCs to Queries: How Uncoder AI Automates Threat Intelligence Action appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Uncoder AI
## Overview
Uncoder AI is a tool designed to automate the process of converting Indicators of Compromise (IOCs) extracted from threat intelligence reports directly into executable security queries for various SIEM and detection platforms. Its purpose is to drastically speed up the ingestion and deployment of threat intelligence into active detection rules, minimizing manual effort and potential syntax errors.
## Technical Details
- Type: Tool (AI-Powered Detection Engineering Utility)
- Platform: Supports 20+ detection languages, including Microsoft Sentinel, Splunk, Elastic Stack, Graylog, OpenSearch, CrowdStrike Falcon LogScale, Sigma, and many others. Also supports formats like STIX, SQLite, and AWS Athena.
- Capabilities: AI-driven transformation of unstructured IOC text into structured queries, platform-specific syntax conversion, high-speed ingestion.
- First Seen: Not explicitly mentioned in the provided text, but context suggests it is a current or recently enhanced product (April 24, 2025 article date).
## MITRE ATT&CK Mapping
As this is a defensive tooling/automation feature, direct offensive mapping is not applicable. However, its function aligns with streamlining defensive operations:
- **TA0009 - Collection** (Indirectly influences speed of defensive actions against collected data)
- **T1560 - Archive Collected Data** (Indirectly relates to packaging IOCs)
## Functionality
### Core Capabilities
- **IOC Transformation**: Converts raw Indicators of Compromise (IOCs) found in threat reports into ready-to-deploy queries.
- **Broad Language Support**: Seamlessly supports over 20 primary detection languages/platforms.
- **Format Expansion**: Recently expanded support to 11 additional formats, including STIX and AWS Athena integration points.
- **Error Reduction**: Eliminates manual formatting errors associated with writing detection logic.
### Advanced Features
- **AI Processing**: Utilizes built-in AI to handle complex transformations between languages and formats.
- **Tier Accessibility**: Allows Tier 1–2 analysts to create IOC-based detections without requiring deep, proprietary platform expertise.
- **Security**: Operates within SOC Prime’s private cloud infrastructure, ensuring data stays private without external API calls or logging.
## Indicators of Compromise
*Since Uncoder AI transforms IOCs rather than being malware itself, this section focuses on artifacts related to the tool's use/configuration.*
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: N/A (Stated to operate privately without external API calls for IOC processing.)
- Behavioral Indicators: Automated generation of queries for platforms like Sentinel/Splunk based on text input.
## Associated Threat Actors
N/A. Uncoder AI is a defensive tool provided by SOC Prime, intended for use by blue teams, detection engineers, and MDR providers.
## Detection Methods
This tool is used to *create* detection methods, not itself something to be detected (unless unauthorized use within a network is a concern, which is outside this scope).
- Signature-based detection: N/A
- Behavioral detection: N/A
- YARA rules if available: N/A
## Mitigation Strategies
Mitigation strategies focus on responsible adoption and integration of the tool itself:
- **Formalizing Tool Usage**: Ensure only authorized security personnel use Uncoder AI for production rule generation.
- **Validation**: Implement a rigorous verification step (human review or automated testing) for all queries generated by Uncoder AI before deployment to ensure accuracy and prevent alert flooding or false positives.
- **Platform Security**: Utilize the private cloud infrastructure option for maximum data security if handling sensitive threat reports.
## Related Tools/Techniques
- **Detection as Code Platforms**: Tools emphasizing standardizing security content creation (e.g., Sigma).
- **Threat Intelligence Platforms (TIPs)**: Systems that process and manage IOCs, which this tool *consumes* for immediate action.
- **The Prime Hunt browser extension**: Another tool mentioned by SOC Prime for threat hunting enablement.