Fraud detection

Identify potentially fraudulent transactions in real time by analyzing patterns from historical banking and ecommerce data, helping your organization prevent financial loss and improve trust.

Core engineering benefits for teams

  • Scalable

    Process high volumes of transaction data efficiently.

  • AI-powered accuracy

    Detect anomalies using advanced AI/ML models.

  • Quick deployment

    Set up detection workflows rapidly without heavy infrastructure

  • Secure & compliant

    Encrypt sensitive financial data and control access.

Explore related resources

  • Tutorials

    Credit Card Fraud Detection Tutorial – Step‑by‑step guide to upload datasets, create data and ML pipelines in QuickML for fraud detection use cases (adaptable for default prediction.

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  • Help Documentation

    QuickML Documentation & Getting Started – Official guides on QuickML, including pipeline building, algorithms, endpoints, and features. 

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  • Blogs

    Predict Possible Loan Defaulters with No‑Code Machine Learning – A specific use case on building default prediction models using QuickML.

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  • Webinar

    Catalyst QuickML – No-Code Machine Learning for Business Decision-Making :
    Explore how QuickML enables business professionals and decision-makers to build, deploy, and leverage machine learning models without coding. 

     

    Watch now

Key Catalyst Components

Catalyst QuickML

Use machine learning to instantly analyze transactions, detect suspicious activity, and configure models and thresholds based on your business needs.

Catalyst Signals

Automatically notify risk or compliance teams and trigger workflows whenever potential fraud patterns are detected.

Catalyst Data Store

Store and manage transaction and user data reliably to support real-time analysis and historical investigations.

Application Performance Monitoring

 With APM access function-specific graphs, aggregated reports, top slowest calls, detailed invocation logs, and component-level performance insights in a single view

Frequently asked questions

Yes, with Catalyst we can scale to handle high-volume, real-time processing.