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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
Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.
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
Tookitaki
Founded
2014
Country
Singapore
Website
www.tookitaki.com
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
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List