Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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