layline.io provides the high-performance platform to detect and prevent fraud in milliseconds. Custom rules, ML integration, and enterprise-grade scalability - all through an intuitive visual workflow designer.
Create complex fraud detection rules
Integrate ML models and risk scoring APIs seamlessly
Process millions of transactions in real-time with automatic scaling
Maintain operations even during failures with built-in resilience
The technical capabilities required to process and analyze transactions in real-time
Process millions of events per second with low latency
During payment peaks (Black Friday, holidays), transaction volumes can spike 10-50x normal levels. Your platform must maintain consistent performance or fraudsters exploit the delay window.
Horizontal scaling, in-memory processing, and optimized execution engine that maintains extremely low latency even during extreme load spikes.
Execute sophisticated rules and integrate ML models instantly
Fraud patterns require evaluating dozens of factors simultaneously: velocity checks, behavioral analysis, device fingerprints, network patterns. Each transaction needs real-time data enrichment, external API calls, and complex branching logic—all in milliseconds.
Visual workflow designer for rapid development, JavaScript/Python integration for custom logic, parallel processing for multiple checks, and connectors for external APIs.
Never miss a transaction, even during failures or deployments
Every second of downtime means unmonitored transactions. Inconsistent data leads to false positives (blocking legitimate customers) or false negatives (missing fraud). At high volumes, maintaining state and consistency is critical.
Built-in resilience with automatic failover, exactly-once processing guarantees, stateful workflows that survive restarts, and 99.99% uptime SLA.
layline.io provides the high-performance foundation—you bring the fraud detection logic, ML models, and business rules specific to your use case. We handle the scale, speed, and reliability so you can focus on building the best fraud prevention system for your needs.
layline.io gives you the platform to build sophisticated fraud detection using any combination of these proven techniques
The most effective fraud detection strategies use multiple techniques in concert
Start with fast velocity checks to catch obvious patterns. Add device fingerprinting for identity verification. Layer in network analysis to detect coordinated attacks. Finally, use ML scoring for sophisticated anomaly detection. layline.io orchestrates all techniques in a single pipeline with low-latency performance.
Explore how layline.io can power fraud detection across different industries
Online retailers processing high transaction volumes need to detect card testing, account takeovers, and suspicious purchase patterns without adding friction for legitimate customers. layline.io provides the performance foundation to analyze every transaction in real-time.
layline.io connects your existing tools and data sources into a unified, high-performance fraud detection system
Ingest from anywhere
Real-Time Processing
Route decisions anywhere
Ingest from anywhere
Real-Time Processing
Route decisions anywhere
Connect to any system via REST, streaming, databases, or files
Process integrations and transformations faster than competitors
Add new integrations or change workflows without stopping
Everything you need to know about implementing fraud detection with layline.io
layline.io processes transactions with low single-digit millisecond latency. This means fraud checks happen in real-time without adding noticeable delay to your transaction flow. Our stream processing architecture is optimized for high-throughput scenarios, handling millions of transactions per second while maintaining consistent low latency.
Yes, absolutely. layline.io is designed to work alongside your existing fraud detection infrastructure. You can call your ML models via REST APIs, integrate with services like AWS SageMaker or Azure ML, or deploy custom Python/R models directly. The platform handles all the data preparation, enrichment, and routing automatically.
layline.io supports hot-reload of fraud detection rules and workflows. You can update velocity thresholds, modify decision logic, add new data enrichments, or change routing rules while the system continues processing transactions. Changes are validated before deployment and rolled out gradually to ensure zero disruption.
layline.io can be configured to conform with enterprise security and compliance in mind. E.g. PCI DSS requirements for payment data, GDPR for data privacy, enterprise security controls, and includes audit logging, and access controls. You can also implement other custom compliance rules specific to your industry requirements.
layline.io automatically scales horizontally to handle increased transaction volumes. The platform uses distributed stream processing with automatic partitioning and load balancing. Whether you're processing thousands or millions of transactions per second, layline.io maintains consistent performance without manual intervention. You can also configure auto-scaling policies based on your traffic patterns.
Join companies processing millions of transactions with low-latency fraud detection. Get started in minutes, scale to billions.
Trusted by companies processing billions of transactions