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What is RiskNet?

The aiRiskNet® platform operates as a self-service rules engine for real-time and near real-time detection and prevention of payment fraud and suspicious activities, catering to card issuers, acquirers, payment service providers (PSPs), and merchants around the world. This adaptable solution can be implemented as either licensed software on-premises or through a cloud-based service on Azure. Engineered to protect the entire payment ecosystem, aiRiskNet® features a modular design with three main configurations that can operate independently or be seamlessly integrated into a broader enterprise solution. Notably, aiRiskNet® Acquirer is dedicated to managing risks associated with merchants and identifying fraud across various payment channels, such as point-of-sale (POS) and ATM transactions. On the other hand, aiRiskNet® Issuer specializes in fraud detection for financial entities and card issuers, covering all types of card payments, including credit, debit, pre-paid, private label, and e-wallets, while also addressing other payment mechanisms like cheques, ACH, and wire transfers. This flexibility allows users to combat fraud effectively, aligning the solution with their individual operational requirements. Additionally, the platform provides ongoing updates and enhancements to adapt to the ever-evolving landscape of payment fraud.

What is Feedzai?

Feedzai is a leading AI-powered financial crime risk management platform that covers the full spectrum of fraud prevention and anti-money laundering (AML) compliance, from account opening to transaction monitoring. Using sophisticated behavioral biometrics and analytics, Feedzai builds trusted digital identities and continuously profiles normal customer behavior to identify and flag abnormal or fraudulent activities in real time. The platform processes over 70 billion events annually, securing more than $8 trillion in payments worldwide while protecting over one billion consumers. It supports a wide range of financial institutions including retail banks, commercial banks, payment service providers, merchant acquirers, and core banking providers, as well as government agencies. Feedzai’s AI-driven approach delivers higher fraud detection rates—up to 62% more—while reducing false positives by 73%, improving operational efficiency significantly. The platform’s risk scoring, watchlist screening, and orchestration tools enable organizations to adapt rapidly to evolving threats and complex regulatory environments. Feedzai seamlessly integrates with existing banking and payment infrastructures to provide scalable and compliant solutions. Customers benefit from faster model deployment times, often 25% quicker than previous systems, ensuring timely response to emerging fraud patterns. The company also offers expert briefings and insights to help clients stay ahead of financial crime trends. Feedzai is widely recognized as a leader in transaction fraud prevention and AML, driving innovation and trust in the financial industry globally.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

CatalystPay
Ekata
Synctera

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

The ai Corporation

Date Founded

1998

Company Location

United Kingdom

Company Website

www.aicorporation.com/products-services/risknet/

Company Facts

Organization Name

Feedzai

Date Founded

2011

Company Location

United States

Company Website

www.feedzai.com

Categories and Features

Fraud Detection

Not specified

Categories and Features

AML

Not specified

Check Fraud

Not specified

Fraud Detection

Not specified

RegTech

Not specified

Risk Management

Dashboard
Internal Controls Management
Risk Assessment

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