Advanced Fraud Prevention for High-Risk Payment Processing

Fraud is a constant threat to high-risk businesses, with fraudsters becoming increasingly sophisticated in their methods. Our AI-powered fraud prevention system uses machine learning, behavioral analytics, and real-time data to stop fraud before it impacts your business, while ensuring legitimate customers can complete their purchases without friction.

How Our Fraud Prevention System Works

Our multi-layered fraud prevention approach analyzes every transaction through multiple lenses:

Pre-Authorization Screening: Before a transaction is processed, our system analyzes hundreds of data points including device fingerprints, IP addresses, and behavioral patterns.
Real-Time Risk Scoring: Each transaction receives a risk score from 0-100 based on machine learning models trained on millions of transactions.
Intelligent Decisioning: Transactions are automatically approved, declined, or sent for manual review based on your custom risk thresholds.
Post-Transaction Monitoring: Continuous monitoring identifies suspicious patterns that may indicate fraud rings or account compromises.
Adaptive Learning: Our system continuously learns from new fraud patterns and adjusts its detection algorithms automatically.

Types of Fraud We Prevent

Card Testing Fraud

Detect and block automated card testing attacks where fraudsters verify stolen card details through small transactions. Our velocity checks and pattern recognition stop these attacks in real-time.

Account Takeover (ATO)

Identify when legitimate customer accounts have been compromised through credential stuffing or phishing attacks. Behavioral biometrics and device fingerprinting catch ATOs before damage occurs.

Synthetic Identity Fraud

Uncover fake identities created using combinations of real and fabricated information. Our identity verification and cross-reference checks expose synthetic identities.

Triangulation Fraud

Stop complex fraud schemes involving multiple parties and stolen payment methods. Pattern recognition identifies the relationships between seemingly unconnected transactions.

Advanced Fraud Detection Technologies

Machine Learning & AI

Our fraud prevention system employs cutting-edge machine learning algorithms that analyze patterns across millions of transactions:

Neural networks identify complex fraud patterns invisible to rule-based systems
Ensemble models combine multiple algorithms for maximum accuracy
Unsupervised learning detects new fraud types as they emerge
Natural language processing analyzes customer communications for fraud indicators

Device Intelligence

Track and analyze devices across sessions to build comprehensive risk profiles:

Device fingerprinting identifies unique devices even when cookies are cleared
GPS and IP geolocation verify customer location claims
Browser and OS analysis detects spoofing attempts
Connection type analysis identifies proxy and VPN usage

Behavioral Biometrics

Monitor how users interact with your website or app to identify imposters:

Mouse movement patterns and typing cadence create unique user profiles
Navigation patterns identify bot behavior and automated attacks
Session duration and page interaction metrics flag suspicious activity
Mobile device handling characteristics verify user identity

Industry-Specific Fraud Prevention

Different high-risk industries face unique fraud challenges. Our prevention strategies are customized for your specific needs:

E-commerce & Digital Goods

Prevent card-not-present fraud, digital goods fraud, and drop-shipping scams with enhanced verification and delivery tracking.

CBD & Nutraceuticals

Combat affiliate fraud, subscription fraud, and reseller fraud with specialized monitoring for regulated products.

Travel & Hospitality

Stop booking fraud, loyalty program abuse, and last-minute cancellation fraud with predictive analytics and booking pattern analysis.

Gaming & Entertainment

Prevent bonus abuse, multi-accounting, and payment fraud with player behavior tracking and identity verification.