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features
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support

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Description

Instinct Hub serves as a comprehensive platform for managing fraud and compliance risks, specifically designed to assist in the prevention of financial crimes during the customer onboarding process across various channels. Given the constantly changing landscape of cyber and financial threats, it is essential to adopt an agile and proactive fraud prevention strategy. Instinct Hub equips you with the tools to effectively identify and mitigate onboarding fraud through the use of adaptive machine learning and enhanced risk assessment features. By unveiling subtle risk indicators and anomalies, you can detect potential fraudulent activities while utilizing advanced analytics, alternative intelligence sources, and continuous account monitoring throughout the customer experience. Enhance your fraud detection capabilities and decision-making processes by incorporating additional intelligence derived from phone, email, IP, device, and behavioral risk evaluations provided by the intelligence center. Our platform is specifically built for rapid and scalable deployment, ensuring that it aligns with your financial crime prevention strategies and operational requirements. This adaptability allows businesses to respond swiftly to emerging threats in a dynamic regulatory environment.

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 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 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 Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

GBG Plc

Founded

1989

Country

United Kingdom

Website

www.gbgplc.com/apac/products/fraud-risk-management-platform/

Vendor Details

Company Name

TOMIA

Founded

1999

Country

United States

Website

tomiaglobal.com/real-time-anti-fraud-raf

Product Features

Financial Risk Management

Compliance Management No 
Credit Risk Management No 
For Hedge Funds No 
Liquidity Analysis No 
Loan Portfolio Management No 
Market Risk Management No 
Operational Risk Management No 
Portfolio Management No 
Portfolio Modeling No 
Risk Analytics Benchmarks No 
Stress Tests No 
Value At Risk Calculation 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 

Alternatives

Alternatives

RiskShield Reviews

RiskShield

INFORM
TAFraudSentry Reviews

TAFraudSentry

ThreatAdvice