A Risk Assessment Framework for Digital Identification Systems

We introduce a risk assessment framework for digital identification systems, as well as recommended best practices to enhance privacy, security, and other desirable properties in these systems. To generate these resources, we created a casebook of a wide range of digital identification systems, and we then applied expert analysis and critique to identify patterns. We piloted the framework on several reviews within our organization over a period of approximately one year, and found it to be robust and helpful for those reviews. This work is intended to inform product review and development, product policy, and standards efforts, and to help guide a consistent responsible approach to digital identification across the broader digital identification ecosystem.

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Publication Details

Journal
ArXiv.org
Published
2025-07-19
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A Risk Assessment Framework for Digital Identification Systems

Allison Woodruff, Dirk Balfanz, Will Drewry, Mariana Raykova
ArXiv.org
Information and Cyber Security
article

A Risk Assessment Framework for Digital Identification Systems

Allison Woodruff, Dirk Balfanz, Will Drewry, Mariana Raykova
article en

Abstract

We introduce a risk assessment framework for digital identification systems, as well as recommended best practices to enhance privacy, security, and other desirable properties in these systems. To generate these resources, we created a casebook of a wide range of digital identification systems, and we then applied expert analysis and critique to identify patterns. We piloted the framework on several reviews within our organization over a period of approximately one year, and found it to be robust and helpful for those reviews. This work is intended to inform product review and development, product policy, and standards efforts, and to help guide a consistent responsible approach to digital identification across the broader digital identification ecosystem.

ArXiv.org
Openalex Percentile: Top 47%
Information and Cyber Security
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