Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Naiza serves as an API-centric platform focused on fraud prevention and AML screening, tailored for banks, fintech companies, payment processors, and various digital enterprises. Through its REST API, it assesses activities like logins, registrations, payments, and withdrawals, issuing decisions of ALLOW, REVIEW, or BLOCK along with associated risk scores and contextual rule information. Users can set up custom rules, leverage device signals, and enrich data with IP or email insights, alongside managing both allowlists and blocklists effectively. Additionally, the platform facilitates screening for sanctions, politically exposed persons, and watchlists pertaining to individuals and organizations, ensuring that match information is integrated into review workflows. A comprehensive web dashboard enables real-time event monitoring, investigations, team collaboration, and case management, while AML processes encompass event oversight and the creation of SAR records. Naiza also provides options for API and browser-SDK integrations, and it is hosted within Saudi Arabia, making it accessible for product and risk management teams looking to incorporate fraud detection and screening into their customer onboarding and transaction processes. With its robust features, Naiza empowers organizations to enhance their security protocols and improve compliance effectively.
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
No
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
Limaz
Founded
2025
Country
Saudi Arabia
Website
limaz.co
Vendor Details
Company Name
Subex
Founded
1992
Country
India
Website
www.subex.com/fraud-management/
Product Features
AML
Behavioral Analytics
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
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
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