Cross-Border Payments
April 24, 2025
Emerging AI technologies are transforming the fight against financial crime with real-time detection and prevention capabilities, improved risk scoring, and reduced false positives. New paradigms define which solutions make the largest impact in protecting global financial systems: AI-enabled technology must not only demonstrate accuracy but also must meet explainability and regulatory demands to resonate with customers. Trust, transparency, and privacy are at a premium.
Lynx has been recognized as a Sample Vendor for Cybersecurity Pre-Crime Platforms in the “Emerging Tech Impact Radar: 2025”. We believe this mention recognizes that our Fraud Prevention, Money Mule Account Detection, and AML solutions are trusted AI-powered solutions at the forefront of financial crime prevention.
AI is Transforming Financial Crime Prevention
In the age of real-time financial crime, reactive and rigid approaches are no longer viable. Fraud and money laundering can occur digitally in just seconds. Illicit accounts and payments operate in real time. Constant watchlist changes, complex screening demands, and stringent AML regulations add to the challenges.
AI technologies present a path forward to staying a step ahead of criminals. Pre-crime platforms proactively address financial crimes by using AI to analyze historical data and identify criminal patterns in real-time data.
However, these innovations face several obstacles. AI and machine learning (ML) technologies must integrate a vast amount of threat intelligence data from varied sources in real time. Pre-crime solutions must also be tailored to meet industry and organization-specific needs.
At the same time, robust AI data governance is necessary to ensure that AI models use high-quality training data in an explainable manner to mitigate bias, excessive false positives, and unintended risks. Privacy and transparency have become essential to developing trust, a key element of successful adoption and impact.
Lynx’s AI-enabled solutions proactively detect financial crimes, with data governance and model transparency at the foundation of our approach.
Enterprise-Wide Fraud and Money Mule Detection with Daily Adaptive Models and Lynx Flex
Lynx Fraud Prevention and Money Mule Account Detection leverage Daily Adaptive Models (DAMs), self-learning AI models that update daily to stay ahead of the latest fraudster and money mule techniques, customer behaviors, and payment technologies. DAMs utilize supervised ML to learn from past fraud and money muling and, once deployed, detect suspicious transactions and customer patterns in real time. DAMs are tailored to each organization and deliver highly accurate real-time risk scoring with low false positives.
Lynx’s approach to AI model training prioritizes strong data governance. We curate high-quality training datasets from each organization’s transactions, and our efficient training algorithm performs feature selection, allowing DAMs to learn from all available features to mitigate bias and improve performance over time. Our solutions comply with PCI-DSS, ISO 27001, and SOC2 standards to ensure security and privacy.
Lynx’s solutions address the critical need for unified enterprise-wide detection as well. Our Flex technology enables dynamic payloads: organizations can incorporate new payment channels in under 60 minutes, propagating new data fields to models, rules, and reports. The combination of DAMs and Flex provides a fully configurable 360-degree view of risk across all transactions, channels, customers, and devices: a centralized detection platform integrating all fraud and money mule threat intelligence and data.
Lynx’s AI-Enabled AML Technology: Explainable Real-Time Performance and Stronger Compliance
Lynx’s AI-enabled AML solutions are architected for transparency and explainability to address ‘black box’ and compliance concerns while optimizing performance. Our AML modules maintain a clear audit trail to meet regulatory requirements and are fully configurable for risk-aligned outcomes.
Our Customer Screening and Payment Screening modules utilize a sophisticated AI-enabled name screening model that intelligently applies natural language processing (NLP) algorithms based on each incoming name’s structure. Organizations can select screening methodologies and develop rules aligned with their risk appetite. Our screening solutions provide highly accurate real-time name similarity scoring and lower false positives.
In addition, Lynx’s innovative ‘AI with guardrails’ approach allows organizations to implement risk-based AML strategies aligned with their specific needs and regulatory demands. Our Tailored Delta List module filters watchlists and generates custom delta lists based on the company’s policies and risk tolerance, ensuring accurate watchlist reconciliations.
Plus, our AML Transaction Monitoring module offers configurable unsupervised ML models and data agnostic integration for enhanced anomaly detection. Organizations can create and immediately deploy complex rules to assess unusual transaction patterns, resulting in risk and compliance-aligned outcomes.
Request a Proof of Concept
Our AI innovations and our collaboration with organizations to prevent financial crimes and safeguard global financial systems. This is further proven by the success of our customers’ experience. Companies working with Lynx save $1.6B annually* using our advanced AI-enabled fraud, money mule, and AML solutions.
Ready to take the next step and transform your financial crime detection and prevention strategy? Reach out and schedule a Proof of Concept (POC).
*12 month trailing
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