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Description

Fraud Detection Modern fraud prevention systems rely on documenting issues and establishing expert-defined rules to combat them; however, due to the vastness and ever-changing nature of fraud, this approach is often inadequate. POINTER introduces a forward-thinking strategy that swiftly identifies fraudulent activities by recognizing transactions that deviate from a user’s usual behavior. Utilizing a proprietary mathematical model along with advanced data mining methodologies, POINTER generates a dynamic Personal Symbolic Vector. Additionally, the incorporation of auto-learning techniques allows the system to adapt to realistic behavioral changes over time. This adaptability guarantees that user profiles remain current and that the most recent expert rules are applied for fraud detection. Furthermore, POINTER significantly reduces the number of false alerts, thereby minimizing the research time required by staff while simultaneously enhancing customer service. Institutions can also customize these parameters to achieve the most effective balance for their specific needs. Ultimately, this innovative approach revolutionizes the way organizations manage and mitigate fraud.

Description

All types of frauds can be addressed with one solution. Subex Fraud Management is a 25-year-old domain expertise that provides 360 degree fraud protection across digital service by leveraging advanced machine intelligence and signaling intelligence. This solution combines a traditional rule engine with advanced AI/machine learning capabilities to increase coverage across all services and minimize fraud run time in the network. It also includes real-time blocking capabilities. The Subex Fraud Management solution's core is a hybrid rule engine. It covers detection techniques such as expressions, thresholds, and trends. Rule engine comprises of a combination of threshold rules, geographic rules, pattern (sequential) rules, combinatorial rules, ratio/proportion-based rules, negative rules, hotlist based rules, etc. These rules allow you to monitor advanced threats in your network.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

PotentiaN

Founded

2007

Country

United States

Website

www.potentian.com

Vendor Details

Company Name

Subex

Founded

1992

Country

India

Website

www.subex.com/fraud-management/

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 

Telecom Expense Management

Billing for Data No 
Billing for Voice No 
Call Monitoring No 
Chargeback Tracking No 
Contract Negotiation No 
Fixed Line Compatibility No 
Internal Cost Allocation No 
Mobile Line Compatibility No 
Usage Reporting No 

Alternatives

Alternatives

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