Introduction
Prebuilt CUI-focused Custom Data Type developed by the archTIS team to help organizations identify likely CUI markings, categories, abbreviations, and related indicators across supported content sources.
Type: Custom Data Type
Spirion Products: Sensitive Data Manager; Sensitive Data Platform
Other Products: None required
The Challenge
Identifying Controlled Unclassified Information is not always straightforward. In practice, CUI may appear through formal banner markings, category references, abbreviations, shorthand terms, and other contextual indicators.
Relying only on literal matches for “CUI” can leave important content undiscovered, especially in federal and defense-oriented environments.
The Solution
The CUI Discovery Package is a prebuilt Custom Data Type designed to strengthen CUI-focused discovery efforts within Spirion.
Developed by the archTIS team, it combines category-aware search logic, banner marking recognition, abbreviation matching, and supporting content aligned to common CUI references.
The package is intended to provide a stronger starting point for identifying likely CUI and related indicators across supported content sources, while still allowing room for customer-specific tuning and refinement.
Overview
The Controlled Unclassified Information (CUI) Discovery Package is a prebuilt Custom Data Type developed by the archTIS team to help organizations improve identification of likely CUI within their data environment.
The package is designed to strengthen discovery efforts by combining category-aware search logic, banner marking recognition, abbreviation matching, and supporting content aligned to common CUI references. Rather than relying only on exact instances of “CUI,” it helps uncover related category markings, shorthand references, and contextual indicators that may point to regulated government information.
Built from practical research and hands-on development, the package provides a structured starting point for customers that need to identify and classify content associated with U.S. government handling requirements. It is particularly relevant for organizations working with federal data, defense-related information, or compliance frameworks such as CMMC and NIST SP 800-171.
What the Package Includes
- Prebuilt search and classification content focused on likely CUI indicators
- Coverage for common CUI category names, markings, and abbreviations
- Banner marking recognition logic to improve visibility into labeled content
- Supporting structure aligned to broader U.S. government protected data concepts
- Guidance for customer-specific tuning and refinement
- Foundational research into supported file type applicability
Prebuilt content
CUI-focused search and classification content ready for initial deployment.
Markings and abbreviations
Coverage for common category names, markings, and shorthand references.
Prebuilt content
Guidance for refinement based on customer terminology and data patterns.
Structured starting point
Faster path than building baseline content from scratch.
Federal relevance
Useful for federal, defense, and CMMC-aligned use cases.
Implementation support
Can be paired with archTIS guidance for rollout and tuning.
Ideal Use Cases
- Defense contractors building or maturing CUI discovery efforts
- Organizations handling federal contract data or other regulated government information
- Teams supporting CMMC or NIST SP 800-171 aligned initiatives
- Customers looking for a faster starting point than building CUI search content manually
Key Benefits
- Accelerates initial CUI discovery efforts
- Improves visibility into likely CUI indicators
- Reduces the effort required to build baseline content manually
- Provides a structured starting point for federal and defense-oriented use cases
- Supports customer-specific refinement based on data profile and requirements
Important note. The package is intended to help identify likely CUI and provide a structured starting point for discovery and classification efforts. Final tuning, validation, and handling decisions should always reflect the customer’s environment, obligations, and review processes.
