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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
SSA · no agency ID · record R3122

Digital Identity Verification Services

Social Security Administration · Chief Information Officer, Digital Customer Solutions

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
2020-06-05 (day precision)Source: 6/5/2020 0:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Cybersecurity
Operational functions
Fraud, waste and improper payments, Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI is intended to solve the problem of securely verifying and authenticating individuals’ identities online, ensuring that users can prove and share their identity safely for digital services.

Expected benefits

The expected benefits of the AI include reducing identity theft and fraud, ensuring compliance with security standards, increasing operational efficiency by minimizing manual reviews, enabling users to access multiple services with a single verification, and improving access for underserved populations through alternative verification methods.

System outputs

The AI system produces verification results, risk indicators for suspicious activity, authentication logs, real-time fraud alerts, user analytics, and compliance reports to support audits and regulatory needs.

Technology

AI classification
Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s)
Digital Identity
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
ID.me
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
www.ssa.gov ↗
Authorization to Operate
Yes
Demographic features
Not reported
Training and evaluation data
No SSA data is used to train the model
Federal Data Catalog
Not reported

Governance

4 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeReported in placeSource: a) Yes
Appeal processPrecluded by law or guidanceSource: d) Law, operational limitations, or governmentwide guidance precludes an opportunity for an individual to appeal
User and public consultationReported in placeSource: b) General solicitations of feedback and comments from the public

Potential impacts and how they were identified

The potential impacts of using the AI include the risk of unauthorized access if fraudulent actors are not properly identified, and the risk of legitimate users being denied access if they cannot verify their identity. These impacts are common to all digital identity systems and are identified through digital identity risk assessments, as required by relevant guidance.