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What is RiskCogs?

RiskCogs functions as a specialized module for assessing payment fraud risks, designed specifically for online businesses. It evaluates an array of signals, such as payment data, device information, identity verification, IP addresses, and user activity, to produce clear risk scores and contextual insights related to associated accounts during transaction assessments. Fraud detection and operations teams have the capability to scrutinize signals and linked accounts in a review queue, establish customizable thresholds and rules, and test rule adjustments in a shadow mode before full deployment. Developers can leverage a browser SDK and server API to relay transaction information and receive evaluations, while webhooks enable the communication of assessment events, and a feedback API supports the reporting of subsequent results like chargebacks. RiskCogs is designed to seamlessly integrate risk-related information with current payment processing systems, allowing merchants to determine their own decision-making thresholds and responses. The applications of this module range from payment fraud detection to card testing, account takeovers, multi-accounting issues, and subscription fraud. Furthermore, the features provided to users and the level of access granted are determined by the specific configuration of the account. Consequently, businesses that adopt RiskCogs can significantly bolster their strategies for preventing fraud while fostering a more secure online transaction environment. By doing so, they can better protect their assets and enhance customer trust.

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.

Media

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Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Orsun Tech OÜ

Date Founded

2026

Company Location

Estonia

Company Website

riskcogs.com

Company Facts

Organization Name

Limaz

Date Founded

2025

Company Location

Saudi Arabia

Company Website

limaz.co

Categories and Features

Fraud Detection

Not specified

Categories and Features

AML

Not specified

Fraud Detection

Not specified

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