Smart Fraud
Prevention System

Protect your payments with real-time Suspicious Transaction Prevention. Instantly detect suspicious transactions with an advanced rule engine and AI-powered analysis, and prevent fraud through blacklist management and risk scoring.

1
Define Your Rules
Define custom rules through your Paywall account to protect your payments based on your own operational flow
2
Create a Blacklist
Instantly block payment requests containing information marked as fraud by creating a blacklist
3
Reporting
Monitor all fraud-related actions (review, block, allow) together with detailed reasons
FEATURES

Why Paywall Fraud?

Protect your business against all types of fraud threats with a comprehensive fraud detection solution

Real-Time Protection

Real-Time Protection

Every payment transaction is analyzed in real time and suspicious activities are instantly blocked. Decision-making capability within milliseconds.

Flexible Rule Engine

Flexible Rule Engine

Customizable fraud rules tailored to your business needs. Support for query-based and action-based rules.

Detailed Reporting

Detailed Reporting

Monitor, analyze, and report all fraud activities. Action logs, blacklist management, and detailed metrics.

Easy Integration

Easy Integration

Integrate within minutes using a RESTful API. Comprehensive documentation, Postman collections, and a sandbox environment.

Blacklist Management

Blacklist Management

Dynamic blacklists for card numbers, emails, IP addresses, and more. Merchant-level isolation and automated blocking.

Fraud Score System

Fraud Score System

Evaluate payments with a risk score between 0–100. Dynamic thresholds and automated actions.

RULE ENGINE

Advanced Rule Engine

Create and manage customizable fraud rules tailored to your business needs

Query-Based Rules

Analyze historical transaction data with query-based rules. Control transaction count, amount, time intervals, and more.

Action-Based Rules

Rules that respond instantly. Direct actions such as blacklist checks, amount limits, and BIN controls.

Sequential Rules

Detect complex fraud scenarios by combining multiple conditions. Build powerful combinations using AND / OR logic.

Dynamic Scoring

Assign custom risk scores to each rule. Automatically make APPROVE / REVIEW / REJECT decisions based on the total fraud score.

Rule Examples

Same Card – Multiple Transactions

Block if more than 3 transactions are made with the same card within the last 30 minutes

IP-Based Amount Control

Trigger an alert if the hourly total amount from the same IP address exceeds 10,000 TRY

Phone Number – Daily Limit

Review if the daily total amount from the same phone number exceeds 5,000 TRY

Night-Time Transaction Control

Route transactions over 1,000 TRY between 02:00–06:00 for manual review

Fraud History Check

Reject if the card has more than one transaction with fraud suspicion in the last hour

Payment Channel Filter

Block non-3D Secure transactions over 500 TRY made via Link / QR Code channels

Country-Based Restriction

Automatically reject transactions originating from specified country codes

Device Fingerprint

Flag as suspicious if more than 5 different cards are used from the same device within an hour

Success Rate Analysis

Reduce the risk score if the card has more than 10 successful transactions in the last hour

Frequently Asked Questions

Paywall Fraud is an intelligent fraud detection system that analyzes your payment transactions in real time and detects fraudulent attempts. With its advanced rule engine, blacklist management, and risk scoring, it protects your business against all types of fraud threats.

Yes, we offer a fully customizable rule engine. You can create both query-based and action-based rules, and define rules based on dozens of parameters such as transaction amount, card details, IP address, payment channel, and transaction time.

The system performs its checks using a wide range of parameters such as card number, IP address, email, phone number, device fingerprint, payment channel, transaction amount, currency, country code, user agent, and transaction time.

Before each payment transaction, the system assigns a score based on the fraud rules you have defined. Each triggered rule contributes to the total score, and the transaction is evaluated with a risk score between 0 and 100. According to your configured threshold values, the transaction is automatically routed to one of these actions: APPROVE, REVIEW, or REJECT.

Thanks to the blacklist structure, after a payment transaction is received, you can add records to the blacklist based on the parameters you define (Card, IP Address, Email, Phone Number, Device Fingerprint, Card BIN).

With Paywall’s standardized error codes, when a transaction fails due to a stolen card reported by the provider, you can directly add the relevant payment details (Phone Number, Card, IP Address, Email, Card BIN, Device Fingerprint) to the blacklist either temporarily or permanently.

Thanks to our RESTful API architecture, integration can be completed within minutes. With comprehensive documentation, Postman collections, and a sandbox environment, you can quickly test and go live.
Our system delivers response times under 100 milliseconds. This ensures there is no delay in your payment flow and the customer experience is not negatively affected.

We support all payment channels, including Web, Android, iOS, Link/QR Code, Checkout, Recurring payments, Bulk payments, and Split payments. You can define separate rules for each channel.

Yes, fraud checks are performed for all payment types, including 3D Secure, Direct Payment, Half 3D, and OTP. You can define different rules based on the payment type, such as blocking transactions over 500 TRY for non-3D Secure payments.

Yes, our system is PCI-DSS compliant. Card numbers are never stored in plain text; all sensitive data is processed using hashing. End-to-end security is ensured with 256-bit SSL encryption, and full compliance with KVKK requirements is maintained.

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