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California Employment Development Department, Fraud Tools Assessment (annual report 2025)

Summary

The Fraud Tools Assessment annual report 2025 of the California Employment Development Department (EDD), prepared for the California State Legislature under Assembly Bill 138 (Chapter 78, Statutes of 2021). It covers identity verification and authentication, the Thomson Reuters (TR) fraud detection tool, cross matching and data sharing, public awareness campaigns, and the Fraud Governance Group. For January 1, 2024, through September 30, 2024, it reports that the ID.me platform prevented 7,028 potentially fraudulent UI claims and 115 potentially fraudulent SDI medical provider claims. The TR table for 2024 year to date shows 5,526 UI fraud claims mitigated and $19,325,063. The report says the contract with ID.me expires in June 2025 and that Socure was selected to replace ID.me.

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“California Employment Development Department, Fraud Tools Assessment (annual report 2025).” Original at edd.ca.gov. Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/california-employment-development-department-fraud-tools-assessment-an-d9fcf7d7a1/, SHA-256 fb60ebd41914a0499cd571621d3b8846dc456c1df3587325065a9a4b77e25069.

Full text

Fraud Tools
Assessment
Table of Contents
1   Executive Summary .......................................................................................................... 2
    1.1 Context....................................................................................................................... 2
    1.2 Confidentiality............................................................................................................ 2
2   Scope of Assessment ....................................................................................................... 2
3   Identity Verification and Authentication......................................................................... 5
    3.1 ID.me – Mitigated Fraud............................................................................................... 5
    3.2 Identity Verification – Next Steps ................................................................................. 6
4   Fraud Detection Tool ........................................................................................................ 7
    4.1 TR – Mitigated Fraud ................................................................................................... 7
    4.2 TR – Next Steps .......................................................................................................... 7
5   Cross Matching and Data Sharing .................................................................................. 7
    5.1 Inter-Agency Cross-match and Internal Processes Fraud Mitigation ............................ 8
6   Public Awareness Campaigns and Collaboration with Law Enforcement .................. 8
7   Fraud Governance Group ............................................................................................... 9
8   Summary ........................................................................................................................... 9




                                                         Page 1 of 10
1     Executive Summary
1.1       Context

Assembly Bill 138 (Chapter 78, Statutes of 2021) added Section 340(a)(1) to the
California Unemployment Insurance Code (CUIC), requiring the Employment
Development Department (EDD) to provide a report to the California State Legislature
assessing the effectiveness of the Department’s fraud prevention and detection tools.
This report satisfies that requirement.


1.2       Confidentiality
As Section 340(b) of the CUIC allows, “Details on fraud methods and tools may be
generalized, excluded, or redacted to protect the fraud deterrence practices of the
department.” To preserve the integrity of the Department’s defenses against
perpetrators of fraud and cybercrime, the specifics of the plan must remain
confidential, as it provides a comprehensive list of desired industry-standard tool
features. EDD appreciates the Legislature’s discretion in handling these sensitive matters
and may provide additional details of the assessment in a private forum upon request.

2     Scope of Assessment
EDD administers two major benefit programs: Unemployment Insurance (UI) and State
Disability Insurance (SDI). These programs provide temporary wage replacement
benefits to eligible individuals. EDD employs a Department-wide fraud prevention and
detection strategy, with the collective intent to safeguard taxpayer funds, while
continuing to pay claimants timely.

This assessment takes a comprehensive approach, evaluating not only individual tool
capabilities but also their integration with existing systems, compliance with legal
standards, and impact on operational efficiency.

The Department-wide fraud prevention and detection strategy employed by EDD
includes:

          Identity verification and authentication
          Cross matching and data sharing
          Public awareness campaigns and collaboration with law enforcement
          Coordination with the Fraud Governance Group




                                       Page 2 of 10
Fraud Prevention Components in Scope

 Fraud Prevention
                    Description
    Component
Identity            EDD currently uses ID.me as an identity verification tool. It
Verification and    verifies the identities of claimants who apply through the
Authentication      Department’s shared customer portal (SCP), which serves as
                    the public-facing portal for UI and SDI customers.

                    Per the National Institute of Standards and Technology (NIST)
                    800-63-3 requirements, this service includes document-based
                    and biometrically derived identity verification.

                    ID.me was implemented in October 2020.

                    As part of the EDDNext modernization effort, EDD will introduce
                    Socure as a replacement to ID.me for 10% of UI customers
                    initially and ultimately for 100% of UI and SDI customers. The
                    proposed change is expected to result in an improved
                    customer experience, enhanced data quality, and continued
                    deterrence of fraudulent activities (see page 6).

Fraud Detection     Thomson Reuters (TR) [Pondera and CLEAR Platform] is used by
Tool                EDD as a fraud detection tool in conjunction with internal
                    screening criteria. TR provides the following services to EDD:

                          Fraud detection screening;
                          Business intelligence; and
                          Investigations management

                    TR screens new UI and SDI customers for non-identity-related
                    fraud risk (e.g., mailing address, county and federal
                    incarceration status). TR is used to enhance EDD’s manual
                    process for screening identity-related fraud risk for paper and
                    phone UI claimants.

                    For purposes of this assessment, this report focuses on TR’s fraud
                    detection capabilities.

                    TR was implemented in December 2020.




                                    Page 3 of 10
 Fraud Prevention
                     Description
    Component
Cross Matching       EDD performs internal fraud mitigation efforts by cross-matching
and Data Sharing     data with the California Department of Corrections and
                     Rehabilitation, Department of State Hospitals, and the
                     Department of Juvenile Justice.

                     EDD participates in the National Association of State Workforce
                     Agencies (NASWA) Integrity Data Hub, which was implemented
                     in June 2023. This multistate data system provides advanced
                     data cross-matching and analysis capability that detects and
                     prevents UI fraud and improper payments. EDD shares UI new
                     claim data and provides daily updates to the Integrity Data
                     Hub. Currently, EDD is reviewing the Integrity Data Hub data
                     and defining business requirements for the next phase of the
                     project.

Public Awareness     EDD communicates to all stakeholders (public, claimants,
Campaigns and        employers, physicians/practitioners) how to report fraud, avoid
Collaboration with   scams, avoid committing fraud, and the penalties and
Law Enforcement      prosecution for providing false information or not reporting
                     information to EDD. This communication is provided at
                     edd.ca.gov/FightFraud

                     In addition, EDD’s Response to Fraud page includes statistics on
                     investigations, arrests, and convictions. It features recent news
                     articles and quotes that reinforce EDD’s efforts in fraud
                     prevention which also serves as deterrence.

                     EDD has created investigative guides for law enforcement and
                     has offered technical assistance to partners working on fraud-
                     related cases. Regional contacts have been established for
                     each division of the State allowing EDD to work with agencies
                     that need assistance with unemployment fraud cases. EDD has
                     also set up a system where out-of-state state and local law
                     enforcement agencies can obtain information from EDD to
                     investigate and prosecute UI fraud in their jurisdiction.

Governance           EDD's Fraud Governance Group is a key component of the
                     Department's successful fraud prevention efforts. The group
                     effectively coordinates and guides various initiatives, such as
                     identity verification, fraud detection, data sharing, public
                     awareness, and law enforcement collaboration.




                                     Page 4 of 10
3     Identity Verification and Authentication
ID.me is classified as an identity verification tool that authenticates a given person’s
identity via user-provided information, documents, and “selfie” images, or a live virtual
interview with ID.me via a trusted referee. Customers may also opt out of the “selfie”
image process and not share their biometric information; selfie images and associated
biometric data are deleted after 24 hours. EDD requested and received from ID.me the
NIST 800-63-3 IAL2 & AAL2 Annual Conformity Review on June 14, 2023.


3.1    ID.me – Mitigated Fraud
The data collected from January 1, 2024, through September 30, 2024, was thoroughly
analyzed separately for UI claimants, SDI claimants, and SDI medical providers. During
this period, the ID.me platform prevented 7,028 potentially fraudulent UI claims, 2,862
potentially fraudulent SDI claims, and 115 potentially fraudulent SDI medical provider
claims from being filed.



                      January 1, 2024 – September 30, 2024: UI Claimants
 Started         Abandoned1       Unsuccessful                       Verified
 Verification
 1,152,943       67,224                   72,707                        1,005,984
                 (5.83%)                 (6.31%)                         (87.25%)
                                 Attempted Did Not Pre-verified            Did Not           Self-
                                 Trusted       Attempt                     Attempt           Service
                                 Referee       Trusted                     Trusted
                                               Referee                     Referee
                                 26,389        46,318  647,928             299,031           59,025
                                 (36.3%)       (63.7%) (64.4%)             (29.7%)           (5.9%)
                            Estimated Fraud Prevented: 7,028 Individuals


                      January 1, 2024 – September 30, 2024: DI Claimants
 Started         Abandoned        Unsuccessful                       Verified
 Verification
 725,264         32,246                   37,880                          652,189
                 (4.44%)                 (5.22%)                         (87.92%)
                                 Attempted Did Not        Pre-verified     Did Not          Self-
                                 Trusted       Attempt                     Attempt          Service
                                 Referee       Trusted                     Trusted
                                               Referee                     Referee
                                    9,547      28,333       345,398        275,982          30,809
                                   (25.2%)     (74.79%)    (52.95%)        (42.31%)         (4.72%)
                            Estimated Fraud Prevented: 2,949 Individuals




1 Individuals who were presented with a path forward in the identity verification process but opted not to

proceed.
                                             Page 5 of 10
                   January 1, 2024 – September 30, 2024: Medical Providers
 Started           Abandoned               Unsuccessful                    Verified
 Verification
 7,865             1,326                          1,126                        5,298
                   (17%)                          (14%)                        (67%)
                                      Self-Service    Trusted      Self-Service Trusted
                                                      Referee                     Referee
                                      1,057           69           5,118          180
                                      (94%)           (6%)         (94%)          (3%)
                           Estimated Fraud Prevented: 115 Individuals

The estimated volume of fraudulent users that ID.me prevents from completing identity
verification is determined through meticulous monitoring conducted by ID.me’s Security
and Data Analytics teams. This monitoring encompasses the detection of social
engineering, synthetic identity theft, and other forms of fraudulent activity across state
and federal partners. The identification of fraudulent activity includes the examination
of ID.me’s fraud flags, the detection of duplicate personally identifiable information,
and the supervision of verification attempts.

3.2   Identity Verification – Next Steps
The current contract with ID.me expires in June 2025. As part of EDD’s modernization
effort, EDDNext, market research, and a competitive bidding process was conducted in
2023 with four identity verification vendors. Socure was selected to replace ID.me’s
services.

The model used by ID.me as an identity service provider requires new claimants to
interact with two separate websites. First, claimants sign-in to myEDD, the Department’s
shared customer portal. Then, claimants navigate to ID.me’s website to verify their
identity. Following verification, they must return to myEDD. Some claimants abandon
this process and therefore EDD does not have information for these customers.

The new, frictionless identity verification model offered by Socure will enable claimants
to verify their identity directly within myEDD, giving EDD more insight into customer
abandonment points or process continuation. This transparency allows EDD to collect
the data provided by the claimant to minimize data collection requirements in
subsequent interactions. If necessary, Socure also supports verification using documents
and “selfie” images, or a live virtual interview if needed.

In the first phase of Socure’s implementation, 10 percent of UI customers will be
directed to verify their identity within the myEDD portal, without the need to navigate to
a separate website. This phased approach will allow EDD to study the customer journey
and the identity verification data before increasing the percentage of customers using
Socure and prior to integration with SDI.




                                         Page 6 of 10
4     Fraud Detection Tool
TR is a fraud detection tool that assesses the likelihood of a fraudulent claim using
internal and third-party data sources, based on specific parameters. TR information is
reviewed on the following parameters:

          Efficacy of existing fraud filters;
          Sources referenced;
          Outputs generated by the tool.

4.1       TR – Mitigated Fraud
The table below represents the number of claims, and the estimated amount of fraud
mitigated because of the use of the TR tool. At the time of this report’s publication, 2024
data was only available through September 30, 2024.

                                                 UI Fraud Claims
 TR - Calendar Year                                                          UI Fraud Mitigated
                                                       Prevented
 2024 YTD Total                                            5,526                   $19,325,063


SDI utilizes TR in a different method compared to UI. SDI reviews claimants and medical
providers that have been flagged by TR to examine if appropriate action needs to be
taken.

 TR - Calendar Year                                           SDI Fraud Claims Reviewed (Total)
                                                                                         5,149
 2024 YTD Total                                         Claimants:           Medical Providers:
                                                             1,828                       3,321


4.2       TR – Next Steps
EDD continues to identify any constraints and limitations within TR provided information
regarding its algorithms and business rules documentation, the output assessment, and
requirements. EDD continues to review its use of TR to refine techniques and optimize
the filters.

5     Cross Matching and Data Sharing
In addition to the TR and ID.me tools, EDD performs internal fraud mitigation efforts
through the use of data cross-matching with the California Department of Corrections
and Rehabilitation, Department of State Hospitals, and the Department of Juvenile
Justice. The following sections describe these efforts in more detail.




                                             Page 7 of 10
5.1     Inter-Agency Cross-match and Internal Processes Fraud Mitigation
The following table details the potential fraud mitigated by EDD inter-agency cross-
matches. At the time of this report’s publication, 2024 data was only available through
September 30, 2024.

 Cases                               Number of Claims        Fraud Mitigated
                                         UI: 525            UI: $2,360,179
    2024 Cross-Match Totals*
                                         DI: 17              DI: $33,159


The following two tables provide details of potential fraud mitigated by utilizing internal-
multiple claims per address and identity verification processes and procedures. EDD
does this by comparing the addresses on the claimant’s application. At the time of this
report’s publication, 2024 data was only available through September 30, 2024.



    Multiple Claims per Address       Number of Claims          Fraud Mitigated
                                       UI Claims: 31,115    UI: $ 153,486,483
      2024 Multiple Claims Totals
                                       DI Claims: 4,357      DI: $2,494,460


    Internal Identity Verification    Number of Claims          Fraud Mitigated
                                       UI Claims: 44,376    UI: $ 149,545,333
              2024 Totals
                                       DI Claims: 25,482     DI: $63,385,810

6     Public Awareness Campaigns and Collaboration with Law Enforcement
EDD regularly reviews and updates public-facing information related to fraud. The
Department communicates with a high level of detail to the public, including non-
claimants, claimants, employers, physicians/practitioners, and potential fraudsters at
edd.ca.gov/FightFraud.

EDD’s web page also includes a “How to Avoid Scams” section. Benefit programs are
frequently susceptible to exploitation by fraudsters seeking to obtain benefits through
the illicit use of individuals' personally identifiable information. EDD encourages
individuals to report suspected fraud and provides four methods for contacting the
Department. EDD also publishes a “What You Should Know About Unemployment
Scammers” guide in 6 languages other than English including Armenian, Simplified
Chinese, Traditional Chinese, Korean, Tagalog, and Vietnamese. The Department also
regularly partners with media outlets to raise awareness of evolving tactics used by
scammers.

EDD publicly provides fraud prevention statistics on investigations, arrests, and
convictions for fraud on its Response to Fraud webpage. Further information regarding
EDD’s ongoing collaboration with law enforcement is contained in the Department’s
Annual Fraud Report.


                                           Page 8 of 10
7   Fraud Governance Group
EDD's Fraud Governance Group is a key component of the Department's successful
fraud prevention efforts. The group effectively coordinates and guides various initiatives,
such as identity verification, fraud detection, data sharing, public awareness, and law
enforcement strategy. By providing a centralized forum for decision-making,
coordination, and oversight, the Fraud Governance Group helps EDD effectively
prevent and detect fraud, protect public funds, and maintain the integrity of its
programs.

8   Summary
The fraud prevention tools, TR and ID.me, that were successfully implemented in 2020
and leveraged extensively to assist EDD in combating the unprecedented level of fraud
attacks during the COVID-19 pandemic continue to be key in preventing fraud.

EDD’s fraud prevention and detection tools assessment provide a critical lens through
which EDD can continue to gauge the effectiveness of the technologies it employs to
defeat benefit fraud and safeguard taxpayer funds while not unnecessarily burdening
legitimate claimants. The transition to Socure in 2025 will further enhance EDD’s fraud
detection and prevention tools, while also improving the experience of EDD’s
customers. EDD continues to evaluate whether the right technologies are deployed in
its layered, multi-component fraud prevention and detection technology stack and to
identify where it needs to improve, potentially with different technologies or the
reconfiguration of existing solutions.




                                       Page 9 of 10
         STATE OF CALIFORNIA


LABOR & WORKFORCE DEVELOPMENT AGENCY


 EMPLOYMENT DEVELOPMENT DEPARTMENT




             Page 10 of 10


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Cited in: ID.me · Pondera Solutions (Thomson Reuters)

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