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FRAUD PREVENTION

Intelligent fraud prevention that protects revenue

Compliance-first fraud controls for modern pay-in and pay-out flows. Detect, score, and stop fraud in real time while preserving approval rates for good customers.

Multi-layer detection
Real-time decisions
Configurable step-up flows
Industry Challenge

The Evolving Fraud Challenge

Attackers adapt quickly—card testing, ATO, social engineering, and synthetic identities move across geos and payment methods. You need layered defenses that learn from your traffic and adapt without adding unnecessary friction.

Card testing

High-velocity attempts across BINs and low-value carts

Account takeover

Compromised credentials and session hijacking

Synthetic identity

Blended real/fake data to bypass naive checks

TheroPay's advanced AI helps solve these challenges
Fraud Challenge Visualization
↑156%
Account takeover
↑89%
Card-not-present fraud
↑203%
Synthetic identity

Defense in depth: signals, models, and rules tuned to your traffic mix

KEY CAPABILITIES

Comprehensive Multi-Layer Protection

Combine machine learning, device intelligence, behavior analytics, and an explainable rules engine for defense in depth.

Machine Learning Fraud Scoring

Models trained on your traffic and enriched with network signals deliver real-time risk scores that are explainable and ...

Active Feature

Device Intelligence

Recognize devices, correlate identities, and spot evasion tactics (emulators, sp...

Behavior Analytics

Detect anomalies from typing cadence to navigation patterns. Escalate only when ...

Explainable Rules Engine

Ship rules without code, run A/B tests, version safely, and promote with guardra...

Machine Learning Fraud Scoring

Models trained on your traffic and enriched with network signals deliver real-time risk scores that are explainable and tunable.

0
Event scoring
0.0x
Score reasons
0
Thresholds & policies

Interactive Machine Learning Fraud Scoring Demo

Real-time visualization coming soon

Live Data
Accuracy
Speed
Scalability
Integration
THE PROCESS

How Our Fraud Prevention Works

Inline decisioning with progressive friction: approve clean traffic, step-up when warranted, and block coordinated abuse.

1
Step 1

Data Collection

Collect device, network, behavior, and payment context without adding form friction.

2
Step 2

Risk Analysis

ML models and rules blend into a single score with reasons you can review and tune.

3
Step 3

Decision Engine

Approve, step-up (2FA/KBA/document), queue for review, or decline—based on policy and thresholds.

4
Step 4

Continuous Learning

Feedback loops from outcomes, disputes, and chargebacks improve future decisions.

Complete End-to-End Protection

Coverage spans pre-authorization screening through post-transaction monitoring. You control thresholds, rules, and step-up policies per market and product.

Real-time Processing
Adaptive Learning
24/7 Monitoring
BENEFITS

Why Choose TheroPay Fraud Prevention

Reduce losses without throttling growth, and keep full control over policy and rollout.

Protect Revenue

Cut fraud losses while preserving approvals for legitimate customers.

Progressive Step-Up

Additional verification only when warranted by risk—not by default.

Real-Time Decisions

Inline scoring with policies you define, plus queueing for manual review when needed.

Higher Conversion

Minimize false positives with explainable scores and post-launch tuning.

Learns From Outcomes

Models improve using labels from approvals, declines, disputes, and chargebacks.

Policy Control

No-code rules, safe rollouts, full auditability, and environment parity.

SOLUTIONS BY INDUSTRY

Tailored Fraud Prevention For Every Business

Tune policies by product, market, and payment method without rebuilding your stack.

E-Commerce

Block card testing and refund abuse while keeping checkout fast.

Subscription

Defend against free-trial abuse and ATO; protect retries without spiking declines.

Marketplaces

Multi-party risk controls, seller onboarding checks, and dispute workflows.

Financial Services

KYC/KYB orchestration, AML alignment, and layered fraud signals.

fraud-analysis.js
// Create a fraud analysis request
const analysis = await theropay.fraud.analyze({
  customer: {
    id: "cus_123456",
    email: "[email protected]",
    ipAddress: "192.0.2.1",
  },
  transaction: {
    amount: 9999,
    currency: "usd",
    items: [{ name: "Premium Subscription", price: 9999 }]
  },
  device: { fingerprint: "df_12345" }
});

// Use the result with progressive friction
if (analysis.score >= 85) {
  return initiateStepUpAuth(analysis.id);
} else if (analysis.score >= 65) {
  return queueForReview(analysis.id);
} else {
  return processPayment(paymentMethodId);
}

Simple API integration with comprehensive fraud analysis

INTEGRATION OPTIONS

Easy to Implement

API-first with SDKs, webhooks, and no-code options. Roll out safely with versioning and staged policies.

RESTful API

Comprehensive endpoints with examples

Client & Server SDKs

Libraries for major stacks

No-Code Options

Plugins for common platforms

Implementation Support

Guidance for complex environments

View Integration Documentation

Frequently Asked Questions

Everything you need to know about our fraud prevention solutions

TheroPay supports all major card networks including Visa, Mastercard, American Express, Discover, JCB, UnionPay, and many more. Our global acquiring network ensures you can accept payments from customers worldwide.

Ready to Strengthen Your Fraud Defenses?

Adopt layered controls that protect revenue without sacrificing conversion.

Setup in 24–48 hours
Real-time fraud detection
93% fraud detection rate
Enterprise-grade security