Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Eliminate fraudulent activities right from their inception. The FICO® Application Fraud Manager effectively combats identity-based fraud at the origin by accurately identifying both first-party and third-party application fraud, ensuring a superb customer experience in the process. This solution integrates effortlessly into existing origination systems, allowing for real-time fraud assessments driven by advanced machine learning analytics. By combining analytics, data orchestration, case management, and detection tactics, it enhances the capability to identify and mitigate fraudulent actions. It analyzes numerous behavioral traits to pinpoint unusual patterns that could signal fraud, facilitating more informed decision-making by enriching origination data with insights from both internal and external sources. With pre-built compatibility with systems such as FICO Origination Manager, organizations can quickly implement the solution and streamline their application processing, resulting in a more efficient workflow and enhanced security measures. This comprehensive approach empowers businesses to stay one step ahead of fraudsters while maintaining a positive experience for their customers.
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
LTi ASPIRE
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
Yes
Mac
Yes
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
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
FICO
Founded
1984
Country
United States
Website
www.fico.com/en/products/fico-application-fraud-manager
Vendor Details
Company Name
MedCXO
Country
United States
Website
medcxo.com/fraud/
Product Features
AML
Behavioral Analytics
Yes
Case Management
Yes
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
Yes
SARs
Yes
Transaction Monitoring
Yes
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
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