In this webinar, the Center on Budget and Policy Priorities and the Digital Benefits Network explored key terms related to digital identity, and provided ecosystem-level context on how authentication and identity proofing may show up in the online benefits experience and impact clients.
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)
The US General Services Administration announces that it is seeking a limited number of state and local government partners to take advantage of login.gov to administer their federally funded programs.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
The Department of Homeland Security's Biometric and Identity Technology Center (BI-TC) has hosted Biometric Technology Rallies to test new and emerging biometric technologies since 2018. This website hosts information about the 2022 and 2023 rallies.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
An overview video describing the Digital Identity Risk Management process outlined in NIST's Digital Identity Guidelines, which organizations can use to develop a risk-based approach to identity management.
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
