Lynx Fraud is a real-time fraud prevention and detection platform that leverages Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to assess the risk of every transaction. It identifies anomalous behavior, automates fraud decision-making, and helps organizations reduce fraud losses while delivering a seamless and secure customer experience.
Lynx Fraud is an enterprise-grade, real-time fraud detection and prevention platform that enables organizations to identify, assess, and mitigate fraud risk across digital transactions and customer interactions spanning multiple channels. The solution combines Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and business rules engines to deliver comprehensive real-time risk assessments, enabling accurate and consistent decision-making in high-volume, mission-critical environments.
Built for performance, scalability, and flexibility, Lynx Fraud provides a unified platform that includes risk scoring, anomaly detection, continuous transaction monitoring, alert management, and case investigation capabilities. Its modular architecture integrates seamlessly with existing technology ecosystems and adapts to a wide range of business use cases, operating models, and regulatory requirements, accelerating deployment while reducing the complexity of fraud prevention operations.
By combining AI-driven models, advanced analytics, and configurable business rules, Lynx Fraud helps organizations reduce fraud losses, improve operational efficiency, and minimize false positives without compromising the customer experience. The platform continuously evolves to address emerging fraud schemes and evolving threat landscapes, ensuring long-term protection in an increasingly complex digital environment.
Key capabilities include:
Real-time fraud detection and prevention across multiple channels.
AI- and ML-powered risk scoring and anomaly detection.
Configurable business rules and decision automation.
Continuous transaction monitoring with real-time risk evaluation.
Centralized alert management and case investigation workflows.
Modular, scalable architecture with seamless integration capabilities.
Support for diverse fraud use cases and regulatory compliance requirements.
Continuous adaptation to emerging fraud patterns and evolving threats.
Highlights
Fraud Detection
Identify suspicious transactions and anomalous behaviors in real time using AI, Machine Learning, advanced analytics, and configurable business rules to accurately assess fraud risk and enable immediate action.
Multi-Channel Fraud Detection
Detect and prevent fraud across multiple digital and physical channels through a unified risk assessment framework. Lynx Fraud correlates data from transactions, customer interactions, and behavioral signals to identify suspicious activity in real time, delivering consistent fraud protection across the entire customer journey.
Social Engineering and Scam Protection
Protects against social engineering, phishing, impersonation, and scam-related fraud using AI-powered behavioral analytics, contextual intelligence, and real-time decisioning to stop fraudulent transactions while preserving a seamless customer experience.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension based on transaction volume. You buy under a contract, and the price is customized for your organization. Lynx sets your cost around your specific requirements, deployment scope, and the number of transactions you process. There are no fixed tiers or separate add-ons to select. Instead, pricing scales with how much volume you run through the fraud prevention service. To get a figure that matches your setup, you work directly with the vendor to define scope and expected transaction levels.
Top-of-mind questions for buyers
What counts as one transaction unit for billing purposes?
A transaction is any payment or interaction the service scores, across channels such as card present, card not present, digital banking, mobile banking, and telephone banking. Each event sent to Lynx for a fraud decision counts toward your volume. Data arrives from any device or payment channel through the service.
How does my cost change as my transaction volume grows?
Pricing scales with the volume you run through the service, so higher processing generally means a higher contract cost. Because pricing is customized, changes in volume are set through your agreed scope rather than automatic overage charges. You define expected transaction levels with the vendor when scoping your contract.
Does deployment method affect how I am billed for this SaaS service?
Billing is tied to transaction volume, not deployment method. The service runs through RESTful APIs for cloud use and integrates with AWS cloud services. Your contract price reflects deployment scope and volume, which you define with the vendor. Deployment choice shapes scope, not a separate pricing dimension.
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Support
Vendor support
Lynx Tech provides comprehensive technical support and customer assistance to help organizations successfully deploy, operate, and optimize Lynx Fraud. Our support services include technical guidance, incident management, product updates, and access to product specialists to ensure the platform performs reliably in mission-critical environments.
Service offerings, including Service Level Agreements (SLAs), support coverage, response times, onboarding services, professional services, training, and premium support options, are tailored to customer requirements and deployment models.
For more information about our support services or to discuss your specific needs, please contact our team at info@lynxtech.com. We will be happy to provide detailed information on available support plans, service levels, and implementation options.
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