Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
To minimize bad debts and the expenses associated with collection and recovery, it is crucial to steer clear of assigning risk segments to applicants who misrepresent their information on applications. It's important to keep serious fraud losses and write-offs from fraudulent applicants as low as possible. Ensuring that fraud detection does not hinder customer service or slow down decision-making is essential. This involves scrutinizing suspicious cases, reviewing application assessment outcomes, and making informed decisions. Streamlining fraud detection and investigative processes through automation can significantly enhance efficiency. User-friendly interfaces are vital to ensure low resource demands and operational costs. Additionally, the system should automatically allocate cases for further investigation and assign a fraud likelihood score to help prioritize actions. Implementing these measures will ultimately lead to more effective fraud management.
Description
T-NEX Fraud Detection serves as a comprehensive transaction-monitoring and case-management solution tailored for banks, insurance companies, and other regulated entities. It implements customizable rules to analyze incoming transactions, gathers supporting evidence, and consolidates related alerts into customer cases for fraud and anti-money-laundering teams to investigate. The application features AI-assisted triage, which provides a risk score, rationale, and recommended actions, while also keeping track of model and prompt versions for future reference. Analysts engage with customer context and evidence, making decisions to assign or escalate cases, document their findings, and draft reports as necessary. Additionally, the platform allows for backtesting of rules using historical transaction data prior to their implementation. Its robust audit trail captures all actions taken along with their justifications, ensuring that human analysts maintain ultimate decision-making authority, as the system does not have the capability to block payments or cards. This thoughtful integration of AI into the review process exemplifies T-NEX's unique HUMAINOLOGY methodology. With over two decades of collective expertise in governance, risk, and compliance software, the T-NEX team is well-equipped to tackle complex fraud challenges. Their commitment to innovation ensures that the platform remains responsive to evolving regulatory landscapes.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
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
No
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
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Scorto
Founded
2001
Country
United States
Website
www.scorto.com
Vendor Details
Company Name
T-NEX
Founded
2024
Country
Germany
Website
t-nex.de/en/institutions/products/fraud-detection/
Product Features
Fraud Detection
Access Security Management
Yes
Check Fraud Monitoring
No
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