The ai Corporation RiskNet logo

The ai Corporation RiskNet

by The ai Corporation · Since 1998
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ActiveAvailable globallyCloud
Quick facts
VendorThe ai Corporation
Year launched1998
StatusActive
Location3rd Floor, Orion Gate, New Central, Guildford Road, Woking, GU22 7NJ, United Kingdom.
Countries servedGlobal
Languages10
Integrations
Free tier
Free trial
Contact salesYES

About The ai Corporation RiskNet

RiskNet is a risk management software from The ai Corporation designed to assist businesses in identifying and mitigating financial risks. It includes features such as risk assessment, reporting capabilities, and compliance tracking so organizations can make informed decisions. The platform provides tools for real-time monitoring, customizable dashboards, and data analytics to support users in understanding their risk landscape effectively. RiskNet is particularly suited for financial institutions and enterprises looking to manage their risk exposure and regulatory compliance efficiently. Key capabilities: risk assessment reporting capabilities compliance tracking real-time monitoring data analytics Best for: financial professionals that need to manage risk and compliance effectively.

aiRiskNet® is a proprietary, AI-powered fraud management platform specializing in protecting fleet mobility payments, issuers, and acquirers. Powered by machine learning and deep learning, its core strength lies in real-time transaction assessment and detection, instantly blocking suspicious activity across all payment types, including virtual, contactless, and mobile apps. It features a fully customisable rules engine managed via an intuitive wizard, offering comprehensive control from card-level blocking to country-wide restrictions. The platform’s efficacy is enhanced by pre-integration with aiEazyFuel® and optional modules like aiAutoPilot ML® for automated rule maintenance and aiSmartScore® for behavioral risk scoring. The software is highly scalable, supporting portfolios from 10,000 to over 10 million merchants. Deployment is flexible, offered as licensed software or as a Software as a Service (SaaS) solution, and can be hosted within a client’s data center or in a secure PCI DSS compliant Azure Cloud environment. The platform is utilized by a wide range of parties in the payment chain, including issuers, financial institutions, acquirers, processors, and merchants.

Pros & Cons

What users like
  • +Real-time AI/ML detection reduces fraud losses while maintaining smooth transaction flow.
  • +Scalable solution suitable for both small portfolios and large enterprises with millions of merchants.
  • +Customisable rules engine empowers businesses to control fraud detection strategies.
  • +Modular architecture allows integration of advanced analytics, alerts, and behavioural profiling.
  • +Hybrid deployment offers flexibility between cloud and on-premise setups.
What users flag
  • The software’s complexity may lead to a steep learning curve for new users without prior fraud management experience.
  • Some advanced features like aiAutoPilot ML® and aiSmartScore® may require additional configuration and expertise to optimise.
  • Limited visibility into integration capabilities with smaller regional payment processors.
  • Real-time AI processing could require high computational resources for very large transaction volumes.
  • Alerts and case management may generate high volumes of notifications if not finely tuned, potentially overwhelming teams.

Features

Key features

Real-time AI-powered fraud detection
Detects and prevents fraud across all payment types and channels instantly using AI and machine learning.
Fully customisable rules engine
Allows users to define fraud rules at card, BIN, or country level with an intuitive rules wizard.
Machine learning and neural models integration
Enhances fraud detection accuracy and reduces false positives using advanced models.
Analytics and insights dashboards
Provides actionable business intelligence and reporting for monitoring fraud trends and operational performance.
Merchant monitoring for acquirers
Identifies risks such as collusion, ghost terminals, and portfolio anomalies for better merchant oversight.
Scalable architecture
Supports portfolios from 10,000 to over 10 million merchants and adapts to various payment types including i-banking and m-banking.
Flexible deployment options
Can be deployed in a secure PCI DSS-compliant cloud (Azure) or on-premise data centres for operational flexibility.

Additional features

Rule engine with statistical and expert rules
Supports complex and customised fraud strategies applied across all transactions.
Real-time transaction assessment
Evaluates each transaction instantly to block or flag suspicious activity.
Merchant portfolio monitoring
Monitors acquirer merchant portfolios for fraud and operational anomalies.
Advanced queue management
Efficiently handles fraud alerts, prioritises cases, and optimises workflow.
Fraud case management and reporting
Allows detailed investigation, documentation, and reporting of fraud incidents.
Cross-border and multi-currency monitoring
Supports global transactions and multiple currencies to mitigate international fraud risk.
Modular add-ons
Includes behavioural profiling, alert communications, business intelligence, and managed fraud services.
Machine learning automation via aiAutoPilot ML®
Automatically evaluates and updates fraud rules based on evolving trends.
Behavioural risk scoring via aiSmartScore®
Provides customer risk profiles to improve fraud detection precision.
Customer communications via aiSmartAlerts™
Sends tailored alerts using multiple channels including SMS, WhatsApp, email, and voice.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
10
Interface languages
16
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussianJapaneseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇭🇰HKD🇸🇬SGD🇮🇳INR🇨🇳CNY🇸🇪SEK🇳🇿NZD🇲🇽MXN🇿🇦ZAR🇷🇺RUB

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