Security attributes for the Data and Information Inventory - Data and Information Inventory and Attributes

Security attributes for the Data and Information Inventory

(Chapter 18 of Data and Information Inventory and Attributes)

Executive Summary: Chapter Overview

IF4IT

The Bottom Line

This chapter defines security attributes that describe confidentiality, access control, encryption, masking, monitoring, and protection expectations for Data and Information types. These attributes translate sensitivity and regulatory exposure into concrete security architecture and operational controls wherever the type is stored, processed, or transmitted.

Core Concepts

Concept	Definition & Strategic Role
Access Control	Access control attributes identify who may view, use, modify, or administer a data type. They support least privilege, segregation of duties, and evidence-based compliance reviews.
Encryption and Masking	Encryption and masking expectations define how sensitive data should be protected at rest, in transit, and in lower environments. They turn classification into implementable controls.
Security Monitoring	Security monitoring identifies logging, alerting, and detection expectations for access or movement of sensitive data types. It helps security teams focus observability on high-risk content.

Quick Q&A

Question: How do security attributes use sensitivity classifications in practice?

Answer: Sensitivity classifications identify protection needs, while security attributes specify the controls that should follow. Access rules, encryption, masking, monitoring, and lower-environment handling requirements make those classifications enforceable across applications, data stores, integrations, and deployment pipelines.

Security attributes capture the access classification and encryption requirements governing this Data and Information type across all systems and integrations that handle it.

Attribute Name

Maturity

Description and Notes

Access Classification

Walk

Description — The access control classification for this Data and Information type — who is authorized to view, create, modify, or delete instances of this type.

Benefit(s) — Provides a governance-level access control statement independent of any specific system’s permission model. Enables consistent access governance across all systems that hold copies of this type.

Source — Manual.

Examples — Public (unrestricted read), Internal (authenticated employees), Restricted (named roles only), Confidential (Owner-approved access list), Classified (need-to-know with formal approval)

Notes — Distinct from Sensitivity Classification, which describes what the data is. Access Classification describes who can see it.

Encryption Required

Walk

Description — Whether instances of this Data and Information type must be encrypted at rest, in transit, or both.

Benefit(s) — Establishes a governance-level encryption mandate that applies across all systems, data stores, and integrations handling this type — preventing inconsistent encryption implementation across the technology portfolio.

Source — Manual.

Examples — At Rest and In Transit (PII, PHI, PCI types), In Transit Only (Internal operational data), Not Required (Public data)

Notes — Derive from Sensitivity Classification: PII, PHI, PCI, PFI types typically require encryption both at rest and in transit as a regulatory baseline.

How to cite this page

When referencing this page in academic work, internal standards, or external publications, include the page title, IF4IT as author and publisher (The International Foundation for Information Technology (IF4IT), LLC), the URL, and your access date.

Example (informal web citation):

The International Foundation for Information Technology (IF4IT), LLC. Security attributes for the Data and Information Inventory | Data and Information Inventory and Attributes. https://if4it.org/best-practices/data-and-information-inventory-and-attributes/security-attributes-for-the-data-and-information-inventory/ (accessed 2026-09-08).

See About Us for content governance and site-wide citation guidance.

Legal Disclaimers