Fraud Management
Considering the face of evolving AI-driven fraud schemes and the increasing economic impacts of friendly fraud, our fraud management solution offers merchants and Payment Service Providers (PSPs) AI-powered technology that monitors transactions from inception to post-checkout.
The solution addresses increasing fraud losses and operational costs by maximizing automation, experience, and intelligence to reduce expenses. It provides comprehensive transaction and event monitoring with digital identity solutions to build trust with each transaction, supported by dedicated Machine Learning technology for enhanced precision.
With simple and lightweight API integration or access to a full Payments Orchestration Platform, customers can monitor transactions pre-authorization, during checkout, and post-authorization using self-learning AI that adapts to emerging threats and maximizes conversions. We also ensures compliance (e.g., PCI, 3DS, SCA) and offers a suite of products for frictionless payment journeys.
The intuitive UI allows merchants and PSPs to visualize impacts, implement new fraud and risk management strategies, leveraging rules and business policies, lists, and our vast feature and signal library. To monitor effectiveness and better understand overall trends, our solution includes an Analytics and Business Intelligence portal to provide key insights in real-time. By combining AI, data insights, and human foresight, we help organizations stay ahead of threats with enhanced predictability and security.
Leveraging extensive correlation of AI, data insights and human foresights, the Fraud Management solution enables your business to stay ahead of threats with enhanced predictability and scale with complete security.
Key features
The simplified and precise decision-making capabilities are powered by a evolving set of complex algorithms and features that run in the background and provide customer peace of mind, knowing the solution can keep up with the pace of new fraud and payment trends. Here are some of the core features, distilled into key benefits for organizations across the landscape.
Patented Machine Learning technology
Self-learning algorithms aided by a global consortium across numerous industry sectors for enhanced precision.The technology enables algorithms for customers to self-learn to update existing payments strategies, and reduce human hours spent on manually validating transactions.
Dedicated Machine Learning models
Focused Fraud Signals and Risk Models to combat fraud and run in parallel.Focusing on the core-challenges, the data science teams have leveraged AI technology and built dedicated models that provide Fraud Signals to detect Account Takeover (ATO), Anomaly (bot) or Card Testing, pre-/post-authorization models. These models are able to run in parallel with each other to minimize fraud while optimizing conversion rates. In addition, the solution provides risk scores for various industry sectors and geographies, as well as custom models, to optimize overall fraud and risk strategy.
Digital identity services
Advance profile each transaction to build trust with digital identity.The digital identity services leverage advanced AI and behavioral analytics to establish trust and ensure legitimate transactions. By orchestrating consumer data, we provide real-time fraud prevention designed to increase conversion rates and block sophisticated fraudster.
Global consortium
Extensive intelligence with global footprintWith leading banks, billers and merchants as customers, our global intelligence consortium is able to analyze data and identify anomalies, fraudulent patterns to inform customers. The intelligence is leveraged by our AI technology to self-learn new patterns, simplify decision-making and boost automation.
Use cases
Account Takeover Models detect and prevent unauthorized account access by monitoring changes in customer behavior, ensuring early identification and proactive fraud prevention. These models provide valuable insights to analysts, helping them prioritize and handle alerts more effectively.
Anomaly or Card Testing Models identify unusual transaction patterns without predefined cases, offering flexible and accurate fraud detection for emerging threats. They look for deviations from the norm, such as spikes in transactional velocity or unusual use of phone numbers or emails.
Pre- and Post-Authorization Models address payment issues and reduce false positives throughout the transaction life cycle, by ensuring accurate transaction data to enhance overall fraud detection efficiency. These models support fixing payments data and monitor at multiple points to improve overall detection rates.
Customer or sector models are pre-built models that support various segments to implement ready-to-deploy fraud prevention ML models to combat sector specific threats and maximize revenue.
You can integrate Fraud Management in three ways: