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features
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support

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Description

Feedzai offers a comprehensive AI-driven platform designed to combat financial crime across its entire spectrum—from new account fraud and transaction monitoring to anti-money laundering (AML) compliance. Leveraging advanced behavioral analytics, Feedzai profiles normal customer activity to swiftly detect suspicious or fraudulent behavior. The platform supports real-time risk scoring and fraud prevention across various payment methods and geographic regions. Feedzai is trusted by retail and commercial banks, payment service providers, merchant acquirers, core banking providers, and government agencies worldwide. Its unified approach reduces fraud losses, optimizes operational workflows, and enables secure transactions. Feedzai’s solutions are fully compliant with regulations and integrate easily into existing systems. The platform has demonstrated significant improvements in fraud detection rates, reduction of false positives, and faster model deployment compared to legacy systems. By securing $8 trillion in payments annually, Feedzai is a leader in financial crime prevention and customer trust.

Description

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

CatalystPay Yes 
Ekata Yes 
Synctera Yes 

Integrations

CatalystPay No 
Ekata No 
Synctera No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,400 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Feedzai

Founded

2011

Country

United States

Website

www.feedzai.com

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

AML

Behavioral Analytics No 
Case Management No 
Compliance Reporting No 
Identity Verification No 
Investigation Management No 
PEP Screening No 
Risk Assessment No 
SARs No 
Transaction Monitoring No 
Watch List No 

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Risk Management

Alerts/Notifications No 
Auditing No 
Business Process Control No 
Compliance Management No 
Corrective Actions (CAPA) No 
Dashboard Yes 
Exceptions Management No 
IT Risk Management No 
Internal Controls Management Yes 
Legal Risk Management No 
Mobile Access No 
Operational Risk Management No 
Predictive Analytics No 
Reputation Risk Management No 
Response Management No 
Risk Assessment Yes 

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

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