Real-Time Fraud Detection at Any Scale

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

Transaction
Incoming Event
Validation
Data Quality
Risk Scoring
ML Models
Rules Engine
Custom Logic
Decision
Allow/Block
Complete pipeline executes in <5ms
<1ms
Detection Latency
Real-time decisions
0
Transactions/Second
Horizontal scaling
99.99%
Platform Uptime
Enterprise SLA
Network infrastructure
PLATFORM REQUIREMENTS

What Fraud Detection Demands from Your Platform

The technical capabilities required to process and analyze transactions in real-time

Extreme Performance at Scale

The Requirement

Process millions of events per second with low latency

Why It Matters

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.

What layline.io Provides

Horizontal scaling, in-memory processing, and optimized execution engine that maintains extremely low latency even during extreme load spikes.

10M+
Events/second
Super Low
latency
Performance analytics dashboard
Complex data workflows

Complex Real-Time Decision Logic

The Requirement

Execute sophisticated rules and integrate ML models instantly

Why It Matters

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.

What layline.io Provides

Visual workflow designer for rapid development, JavaScript/Python integration for custom logic, parallel processing for multiple checks, and connectors for external APIs.

Velocity Check
0.2ms
ML Risk Score
0.3ms
Device Fingerprint
0.2ms
Behavioral Analysis
0.1ms

Zero Downtime & Data Consistency

The Requirement

Never miss a transaction, even during failures or deployments

Why It Matters

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.

What layline.io Provides

Built-in resilience with automatic failover, exactly-once processing guarantees, stateful workflows that survive restarts, and 99.99% uptime SLA.

System Status
Operational
99.99% uptime - Last 12 months
Secure infrastructure

Your Platform Foundation

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.

Detection Techniques You Can Implement

layline.io gives you the platform to build sophisticated fraud detection using any combination of these proven techniques

Layer Techniques for Maximum Protection

Incoming Transaction
1
Velocity Checks
Fast pattern analysis
~0.8ms
2
Device Fingerprinting
Identity verification
~0.9ms
3
Network Analysis
Relationship mapping
~1.2ms
4
ML Risk Scoring
AI-powered analysis
~1.5ms
Combined Decision Logic
IF velocity_risk > 0.7 OR device_new AND ml_score > 0.8 THEN flag
✓ Approve
⚠ Review
✕ Block
Total Pipeline Time
< 5ms

Combine Multiple Techniques

The most effective fraud detection strategies use multiple techniques in concert

Layered Defense
Each technique catches different fraud types
Lower False Positives
Cross-validation reduces incorrect flags
Adaptive Detection
Adjust weights based on risk profile
Future-Proof
Add new techniques as threats evolve
Example Combined Strategy

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.

Industry Applications

Explore how layline.io can power fraud detection across different industries

E-commerce shopping
E-commerce

Payment Fraud Detection

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.

Common Fraud Patterns
  • • Multiple failed payment attempts from same IP
  • • Sudden change in purchase behavior (location, amount, items)
  • • New shipping address with high-value items
  • • Rapid succession of small transactions (card testing)
What You Can Build
  • • Velocity checks across card, IP, device fingerprint
  • • ML risk scoring based on historical patterns
  • • Real-time enrichment with address verification APIs
  • • Dynamic rules that adapt to fraud trends
<5ms
Processing Speed
Millions
Transactions/Day
100%
Coverage
\n

The Hub for Your Fraud Stack

layline.io connects your existing tools and data sources into a unified, high-performance fraud detection system

Data Sources

Ingest from anywhere

Payment Gateways
Stripe, Adyen, Braintree
Databases
PostgreSQL, MongoDB, Redis
Message Queues
Kafka, SNS, SQS, etc.
External APIs
REST, UDP, webhooks
layline.io

layline.io

Real-Time Processing

crazy latency
Auto-scaling

Outputs & Actions

Route decisions anywhere

Fraud Systems
Block, review, approve
Alert Systems
PagerDuty, Slack, email
ML Platforms
TensorFlow, PyTorch, Sagemaker
Analytics
Datadog, Elasticsearch, BI tools

Universal Integration

Connect to any system via REST, streaming, databases, or files

Low-Latency Speed

Process integrations and transformations faster than competitors

Zero Downtime Updates

Add new integrations or change workflows without stopping

Background
FAQ

Frequently Asked Questions

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.

Ready to Stop Fraud in Real-Time?

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

Enterprise Ready
Self-Hosted Option
99.99% Uptime