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PPP Fraud AI

Analyzer & Investigator

DATAECONOMY's PPP Fraud AI leverages the Industry's best data, technology, and domain expertise to ensure the best results. It is fully automated and gets you the most accurate results instantaneously.

Thomson Reuters

PPP loans & fraud – the red flags that could have been spotted

Read the article

New York Times

15% of Paycheck Protection Program Loans Could Be Fraudulent, Study Shows

Read the article

~$76 billion

Estimated amount of fraudulent funds

~1.8 million

Estimated number of fraudulent loans

Federal Government

Federal Government

~$800 billion

Funds authorized for two PPP Programs

Fast funding out the door and help U.S. businesses in an unprecedented economic shutdown caused by a global pandemic

Catching fraud on the back end after the funding distribution is always part of the government’s calculation

We are helping Fed Agencies, and regulators to identidy the systematic fraud and recover tax payer dollars from fraudlant loans

SBA

SBA

~5.5 thousand

lenders distributed the funds

Left all the due diligence to the lenders and only performed spot checks and audits

Invited fintech's into the process in addition to traditional banks and credit unions

We are helping SBA to catogorize the systetamatic fraud, priortize, enabling them to work with FIs to resolve the fradualnt loans

Lenders

Lenders

~12 million

Total number of loans funded

Very few steps to verify loan applications, busier doing submission work and gathering documentation

Put the onus on the business owners to self-certify truthfulness

We are helping FIs to Discover, Analyze, Investigate, and Resolve fradulant loans, and Respond to SBA and regulators faster

THE PRODUCT

PPP Fraud Analyzer

DATAECONOMY's PPP Fraud Analyer consists of two core components to discover and analyze the fraud.


Summary Alerts Report

A report summarizes fraudulent loan alerts by PPP Fraud rules giving the FI an idea about the gravity of the fraud regarding all PPP loans issued.

Request for a Sample Summary Report

Detailed Alerts Report

A detailed alerts report with all the probable fraudulent loans categorized by PPP rules for the FI to start to investigate, resolve, and report.

Request for a Sample Detailed Report

PPP Fraud Investigator


Summary Report

Investigate PPP Fraud alerts 40-50% faster by having all the information in one place, document the evidence, meet internal audit requirements, respond to external regulators (SAR), and resolve the fraudulent loans.

Request for a Demo

HOW IT WORKS

Node Network

Knowledge Graph is created by fusing and enriching data from several sources to uncover hidden and complex relations. Data sources include the following, but are not limited to:

  • PPP Loan data from SBA with the details including borrower entity, loan amount, and more.
  • MRB data for Cannabis Entities
  • NAICS Data to map Self-Storage and Mailboxes entities
  • UPS location data
  • Cube Smart data for business locations and corporate family member tracing
  • IRS data for 501C revoked entities
  • OpenCorporates data of >90 million companies information and their officers in the United States and globally.
  • Dow Jones Trifecta data from Watchlist, State Owned Companies and Adverse Media datasets as one single file delivery which assist financial institutions in the fight against fraud, money laundering, illicit payments and other illegal activities.
Dataeconomy's PPP Fraud Analyzer Process

DATAECONOMY's PPP Fraud Analyer consists of two core components to discover and analyze the fraud.

Rules Engine:

Configurable rules engine that is pre-configured to process the SBA issued rules for qualified loan applicants, including:

  • Same busienss has more than two loans with the same lender or with other two mor more lenders
  • Business tied to Marijuana/Cannabis Sales
  • Loans to Public Companies and State-Owned businesses
  • Loans to Dissolved or Inactive Businesses before being approved for PPP
  • Business Shows in Operation After February 15 and businesses formally registered after the loan issuance
  • Loans to business carrying same address with a. Registration date > Loan approval or b. registration date > 15-Feb-2020
  • Potential Decedent Applicant
  • Loans to Businesses reactivated 30 days prior to Loan
  • Loan to a Revoked 501 C 3 Business
  • Loans to UPS Store Locations & more than 1 loan to same UPS Store Location

Processing Engine:

Fraud Analyzer ensures accuracy by levering the following:

Senzing's industry-leading entity matching engine

  • Keeps track of the source records processed with Senzing
  • Internal keyed representation of unique records
  • Describes records that are part of the resolved entity
  • Describes the relationships between resolved entities
  • Describes the one-to-one relationship between entities creating one relationship record per edge

DATAECONOMY's powerful algorithms & ML models



Outputs

Summary Alerts Report

A report summarizes fraudulent loan alerts by PPP Fraud rules giving the FI an idea about the gravity of the fraud regarding all PPP loans issued.

Detailed Alerts Report

A detailed alerts report with all the probable fraudulent loans categorized by PPP rules for the FI to start to investigate, resolve, and report.

Dataeconomy's Fraud Investogator Screens

Fraud Investigator

FCC Knowledge Graph provides a centralized interactive analytical platform for FCC stakeholders across AML, KYC, Fraud, and Market Surveillance functions, enabling FI to improve operational efficiency, FCC program effectiveness and adapt to rapidly changing regulatory requirements​.

  • ABILITY TO CONDUCT COMPLEX INVESTIGATIONS​
  • EXPLAINABILITY OF EVIDENCE TO REGULATORS FOR COMPLEX CASES​
  • DETECT NEW POTENTIAL SUSPICIOUS PATTERNS
  • IDENTITY RESOLUTION FOR EXTERNAL DATA SOURCES​
  • ABILITY TO FIND KNOWN PATTERNS EXPOSURE ACROSS CUSTOMERS BASE​
  • RAPID RESPONSE TO REGULATORY REQUESTS​​

Features​

Graph Traversal​

(Intuitively Travers node/relationship with filters, combine/expand nodes/relationships)

Graph Algorithms​

(Identify Customer’s hidden relationships & New Potential patterns leveraging graph algorithms)

Capture Story as evidence

(Narrative functionality to capture graph & case narrative within the tool)​

Enrich insights with External Data

(Marries internal Customer, entity data with external sources to gain holistic insight for Customer)​

Pricing

based on volume of loans iisued