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Description
fcase is an integrated Fraud Orchestrator. This comprehensive approach to fraud management systems goes beyond simple, standalone detection into an enterprise-focused process.
This holistic view of fraud data allows for standardising fraud case interactions, fraud operational processes and governance models. It also provides for performance and quality indicators to be normalised. Our next-generation technologies combine different data platforms and collect information from multiple fraud detection sources to manage fraudulent activities at an enterprise level with adaptive analytics.
fcase covers all financial crime, risk compliance, and customer care systems. It centralises alerts and events to one enterprise-wide platform for all your fraud investigation reporting and compliance reporting needs.
fcase consolidates multichannel fraud data, simplifies management, centralises data analytics, and significantly increases efficiency.
To learn more or would like to see how we benefit fraud operations, please reach out at fraud.com.
Description
To mitigate financial risks and protect their reputations, it is crucial for operators to combat fraud in real-time, especially concerning roaming and national-to-international calls. Many telecommunications providers have implemented various fraud prevention measures; however, the emergence of new technologies continues to unveil additional vulnerabilities. Adopting protective tools against these new attack vectors is often a slow process. As a result, operators are increasingly moving from traditional offline analysis to utilizing network enforcement capabilities that can halt fraudulent calls as they happen. CDR-based systems, which rely on successful call records, unfortunately overlook failed call attempts, limiting their effectiveness to a reactive stance. Consequently, operators are eager to proactively address fraudulent activities at all stages of the calling process. For instance, by tracking the number of call attempts to known black-listed numbers, operators can identify and block PBX hacked devices, as fraudsters typically cycle through multiple numbers before successfully connecting. Moreover, this proactive approach can help in identifying patterns of behavior that are indicative of larger fraud schemes, thereby enhancing overall security.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
Udentify
Yes
aiReflex
Yes
Integrations
Amazon EC2
No
Amazon Web Services (AWS)
No
Udentify
No
aiReflex
No
Pricing Details
Annual Subscription Fee
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
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
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
fraud.com
Founded
2022
Country
United Kingdom
Website
www.fraud.com/products/fcase-fraud-orchestration
Vendor Details
Company Name
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
Product Features
Fraud Detection
Access Security Management
Yes
Check Fraud Monitoring
Yes
Custom Fraud Parameters
Yes
For Banking
Yes
For Crypto
No
For Insurance Industry
Yes
For eCommerce
No
Internal Fraud Monitoring
Yes
Investigator Notes
Yes
Pattern Recognition
Yes
Transaction Approval
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