Autohost's Fraud Detection is an AI-powered analysis engine that identifies fraudulent booking attempts in real-time by analyzing behavioral patterns, payment signals, and network intelligence - before fraudsters can cause damage to your business.
Core Function: Automatically flags high-risk reservations that are likely to result in chargebacks, fake bookings, stolen credit cards, or property damage.
How it works:
Real-Time Fraud Analysis: When a guest makes a booking, our fraud detection engine instantly analyzes the following.
Payment Intelligence
- Credit card fraud probability scoring
- Payment method risk assessment
- Chargeback prediction and prevention
- Stolen card database cross-reference
Behavioral Pattern Recognition
- Booking timing and frequency anomalies
- Unusual guest communication patterns
- Suspicious booking modification behaviors
- Last-minute booking risk factors
- Repeat offender recognition
Network & Device Analysis
- IP address reputation and geolocation
- VPN/proxy detection and risk scoring
- Device fingerprinting for repeat offenders
- Connection pattern analysis
Historical Intelligence
- Cross-reference against global fraud events database
- Known fraudster identification
- Pattern matching against fraud networks
- Industry-wide threat intelligence
Instant Risk Scoring
Every booking receives a fraud risk score (0-100):
- 0-30: Low Risk → Auto-approve
- 31-70: Medium Risk → Flag for review
- 71-100: High Risk → Block/decline
Integration with Other Autohost Capabilities
Fraud Detection works seamlessly alongside other Autohost features:
- Identity Verification: Combines document fraud detection with payment fraud analysis
- Guest Screening: Adds fraud intelligence to background check results
- Damage Protection: Correlates fraud risk with property damage likelihood
- Messaging AI: Analyzes guest communication for fraud indicators