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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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval