This resource provides updated draft digital identity guidelines for identity proofing, authentication, and federation, aiming to improve security, privacy, usability, and equity in digital identity systems.
This article advises government agencies to prioritize cybersecurity methods over AI-driven approaches when combating identity fraud in benefits programs, highlighting potential risks that automated systems pose to legitimate applicants.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
This piece highlights promising design patterns for account creation and identity proofing in public benefits applications. The publication also identifies areas where additional evidence, resources, and coordinated federal guidance may help support equitable implementations of authentication and identity proofing, enabling agencies to balance access and security.
In December 2024, the Digital Benefits Network released an updated open dataset on authentication and identity proofing requirements across various public benefits applications to highlight best practices and areas for improvement in identity management.
This report offers best practices for public agencies implementing digital identity verification, emphasizing privacy, equity, and security in the delivery of government services.
This report analyzes the current state of digital identity in the United States, outlines challenges such as privacy concerns, fragmented systems, and lack of standards, and proposes policy and technology solutions to build a secure, interoperable, and user-friendly national digital identity framework.
Information Technology & Innovation Foundation (ITIF)
Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
This report outlines key lessons and recommendations from Code for America's collaboration with the Voluntary Income Tax Assistance program, which served over 800,000 clients via GetYourRefund.org.
