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What is Naiza?

Naiza operates as a platform that centers around APIs, specifically designed to combat fraud and conduct AML screenings, catering to banks, fintech firms, payment processing entities, and a variety of online businesses. Utilizing its REST API, the platform evaluates activities such as logins, registrations, payments, and withdrawals, providing decisions categorized as ALLOW, REVIEW, or BLOCK, along with relevant risk scores and contextual rule details. Users are able to establish personalized rules, capitalize on device signals, and enhance data with insights from IP addresses or emails, while also managing allowlists and blocklists with ease. Furthermore, the platform supports screening against sanctions, politically exposed individuals, and various watchlists for both people and organizations, ensuring that any matches are incorporated into the review process. An extensive web dashboard allows for real-time monitoring of events, facilitating investigations, team collaboration, and effective case management, while the AML processes include oversight of events and the generation of Suspicious Activity Reports (SARs). Naiza also offers integration options through its API and browser-SDK, and it is hosted in Saudi Arabia, providing accessibility for product and risk management teams aiming to embed fraud detection and screening in their customer onboarding and transaction workflows. With its advanced capabilities, Naiza not only strengthens organizational security measures but also significantly enhances compliance efforts, helping institutions to navigate complex regulatory landscapes more effectively. This comprehensive approach to fraud prevention makes Naiza a vital resource for businesses operating in today’s digital landscape.

What is Fraud Barrier?

To reduce the incidence of bad debts and the related costs of collection and recovery efforts, it is vital to avoid granting risk segments to applicants who provide false information on their applications. Keeping losses from serious fraud and write-offs stemming from fraudulent applicants to a minimum is essential. Moreover, it is important to ensure that the processes for detecting fraud do not compromise customer service or delay decision-making. This entails closely examining suspicious cases, analyzing the outcomes of application assessments, and making well-informed decisions. By automating fraud detection and investigation processes, organizations can significantly boost their operational efficiency. Ensuring that interfaces are user-friendly is crucial for maintaining low resource demands and minimizing operational expenses. Furthermore, the system should be designed to automatically assign cases for deeper investigation and generate a fraud likelihood score to prioritize subsequent actions. Adopting these strategies will ultimately enhance the effectiveness of fraud management, leading to improved financial stability. By fostering a proactive approach, businesses can better safeguard their operations against fraudulent activities.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Not specified

Company Facts

Organization Name

Limaz

Date Founded

2025

Company Location

Saudi Arabia

Company Website

limaz.co

Company Facts

Organization Name

Scorto

Date Founded

2001

Company Location

United States

Company Website

www.scorto.com

Categories and Features

AML

Not specified

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Access Security Management
Custom Fraud Parameters
For Banking
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

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