AI-Powered Protection

Risk Management Essentials

Risk Management Essentials

Advanced fraud detection software & automated risk settings reducing fraud, while protecting your business.

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Comprehensive Fraud Protection

Machine Learning

AI-powered fraud detection that learns from transaction patterns

Real-Time Scoring

Instant risk assessment for every transaction

Behavioral Analysis

Advanced pattern recognition and anomaly detection

Custom Rules

Flexible rule engine tailored to your business needs

57
Approved
14
Declined
Risikoscore: 55
NL·€361.23
Risk 95
AT·€117.81
Risk 50
AT·€343.20
Risk 80
DE·€307.25
Risk 66
AT·€334.47
Risk 9
GB·€189.05
Risk 61
AT·€198.39
Risk 64
ES·€314.18
Risk 25

Multi-Layer Risk Assessment

AI & Machine Learning

  • Neural Network Models
    Deep learning algorithms trained on billions of transactions

  • Adaptive Learning
    Models continuously improve with new fraud patterns

  • Ensemble Methods
    Multiple algorithms working together for higher accuracy
  • Real-Time Inference
    Sub-100ms risk scoring for live transactions

Behavioral Analytics

  • Device Fingerprinting
    Unique device identification and tracking

  • Velocity Checks
    Transaction frequency and pattern analysis

  • Geolocation Analysis
    Location-based risk assessment and anomaly detection

  • Session Analysis
    User behavior patterns and session anomalies

Flexible Rule Engine

Custom Risk Rules

Build sophisticated rules tailored to your business logic


IF transaction.amount > 1000
AND customer.country != billing.country
AND device.risk_score > 70
THEN action = "REVIEW"

IF customer.velocity > 5 transactions/hour
OR card.bin IN high_risk_bins
THEN action = "DECLINE"

IF ml_score < 0.3
AND customer.history = "GOOD"
THEN action = "APPROVE"

Rule Management

Easy-to-use interface for rule creation and management

  • Visual rule builder
  • A/B testing for rules
  • Real-time rule deployment
  • Performance monitoring
  • Rule versioning and rollback
  • Automated optimization

Comprehensive Data Intelligence

Transaction Data

  • Amount and currency patterns
  • Payment method analysis
  • Merchant category insights
  • Time-based patterns

Customer Intelligence

  • Purchase history analysis
  • Account age and verification
  • Behavioral profiling
  • Risk score evolution

External Intelligence

  • Global fraud databases
  • IP reputation services
  • Device intelligence networks
  • Industry threat feeds

Proven Results

75%

Average Win Rate

Industry-leading success rate for representment cases

-60%

Processing Time

Significant reduction in dispute resolution timeframes

90%

Automation Rate

Most disputes handled without manual intervention

-40%

Operational Costs

Operational Costs

Easy Integration

API Integration

Simple REST API for real-time risk assessment


POST /api/v1/risk/assess
Content-Type: application/json

{
  "transaction": {
    "amount": 1000,
    "currency": "USD",
    "merchant_id": "12345"
  },
  "customer": {
    "email": "user@example.com",
    "ip_address": "192.168.1.1"
  },
  "device": {
    "fingerprint": "abc123..."
  }
}

Response Format

Comprehensive risk assessment results


{
  "risk_score": 0.15,
  "risk_level": "LOW",
  "recommendation": "APPROVE",
  "factors": [
    {
      "type": "device_reputation",
      "score": 0.05,
      "description": "Known device"
    },
    {
      "type": "velocity_check",
      "score": 0.10,
      "description": "Normal frequency"
    }
  ],
  "processing_time_ms": 45
}

Ideal For

European Merchants

Businesses operating in Europe requiring PSD2 SCA compliance for online transactions

Mobile Commerce

Mobile apps and responsive websites needing seamless authentication experiences

High-Risk Industries

Businesses in travel, gaming, and digital goods requiring enhanced fraud protection

Frequently Asked Questions

Ensemble ML models (real‑time inference), device and behavioral analytics, velocity/rate‑limits, geolocation and IP intelligence, plus third‑party fraud data.

Yes—visual rule builder with versioning, staged rollouts/A‑B testing, and real‑time deployment to approve, decline, review, or step‑up.

Transaction attributes, customer and device behavior, IP and network signals, external negative/positive lists, and issuer response feedback.

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