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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 IBM Safer Payments?

IBM Safer Payments enables organizations to create personalized and user-friendly decision models that facilitate rapid responses to emerging threats while improving fraud detection accuracy and speed, without the reliance on external vendors or data scientists. This innovative solution significantly accelerates the modeling optimization process by providing essential analytics and simulation tools that support continual monitoring of business performance and adjustments to changing fraud patterns. Clients benefit from remarkable detection rates and a reduction in false positives upon integrating this system into their workflows. Users have the capability to build, assess, validate, and deploy machine-learning models within days rather than months, thereby eliminating vendor dependency. The platform is capable of handling thousands of transactions per second, delivering an enterprise-level solution with an impressive 99.999% uptime and outstanding throughput. Its open architecture allows for seamless importation of detection models, model components, and proprietary insights, all while offering a comprehensive interface for the development of new models. Furthermore, it accommodates a diverse array of data science, machine learning, and artificial intelligence techniques, making it an adaptable resource for any organization seeking to bolster their payment security. The inherent flexibility of this platform ensures that businesses can proactively address potential fraud threats more efficiently than ever, ultimately leading to a more secure financial environment. As organizations continue to evolve, the ability to swiftly adapt to new security challenges becomes increasingly critical.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

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
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/safer-payments

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Not specified

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