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.
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.