Purchase Fraud Prevention
Protect your business from payment fraud with advanced risk analysis.
1M+
$50M+
99.9%
<100ms
Protect Your Business from Payment Fraud
Purchase fraud occurs when bad actors use stolen credit cards, fake identities, or compromised accounts to make unauthorized transactions. These fraudulent purchases can lead to chargebacks, financial losses, and reputational damage.
Traditional fraud prevention tools often struggle to distinguish between legitimate users and sophisticated fraudsters using device spoofing, and automated scripts.
Stolen payment details from data breaches and skimming are used to make unauthorized purchases before detection
Rapid, high-volume transactions where fraudsters make multiple quick purchases using stolen cards to maximize profits
Location mismatches between shipping address, billing info and IP location that indicate potential fraud
Account takeovers where criminals access legitimate accounts to abuse stored payment methods and account privileges
How TrustPath Works
Our Fraud Detection API continuously monitors user behavior, login patterns, and device intelligence to detect suspicious activity and prevent ATO attacks in real time.
Behavioral Analysis & Transaction Monitoring
Our Behavioral Analysis system continuously monitors user activities across your platform, building comprehensive profiles of normal behavior while identifying suspicious deviations that may indicate fraud or account compromise.
- Identifies unusual login patterns and device switching behavior.
- Detects rapid IP changes indicating potential credential sharing.
- Monitors transaction velocity to identify suspicious purchase patterns.
Device & Browser Fingerprinting
Sophisticated device intelligence that analyzes hardware and software characteristics to identify suspicious login attempts.
- Detects device inconsistencies in real-time.
- Identifies suspicious login patterns across multiple devices and browsers.
Email Intelligence & Identity Verification
Advanced email validation and risk assessment to prevent fraudulent registrations and protect against automated account creation.
- Blocks disposable email addresses used in fraudulent sign-ups.
- Identifies undeliverable emails to prevent bot-generated accounts.
- Flags email domains with server abuse history automatically.
Advanced Risk Scoring & Prevention
Machine learning-powered risk assessment that analyzes multiple data points in real-time to accurately identify and prevent fraudulent activity.
- Calculates fraud risk scores by analyzing multiple data signals.
- Triggers automated actions based on comprehensive risk assessment.
- Provides customizable thresholds for precise fraud detection.
Purchase Fraud Prevention API
Prevent Chargebacks
Stop fraudulent transactions before they occur.
Reduce False Declines
Identify real customers while blocking fraudsters.
Protect Customer Accounts
Prevent unauthorized purchases through ATO detection.

Simple API Integration
Create a free account to get your API key and start protecting your transactions.
curl --request POST \
--url https://api.trustpath.io/v1/risk/evaluate \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'content-type: application/json' \
--data '{
"ip": "95.91.243.197",
"email": "mail@domain.com"
}'

TrustPath gives us peace of mind when it comes to fraud detection. As a specialty coffee e-commerce business, we need to ensure every transaction is legitimate while providing a smooth experience for our customers. TrustPath helps us achieve exactly that.
Victor Lequet
Founder @ Gustav Coffee
Security & Compliance
We maintain high security standards and aim to comply with major industry regulations and frameworks.



Protect Your Business from Fraud
Schedule a demo with our fraud prevention experts to see how TrustPath can secure your transactions. Get personalized insights into your specific fraud risks.
- Need help assessing your fraud exposure?
- Want to understand our detection capabilities?
- Looking for custom fraud prevention strategies?

Engin Yöyen
Co-Founder support@trustpath.io