Fraud Detection
Prevent Booking Scams and Fraud
Protect your business from online fraud with advanced telemetry analysis, risk scoring, and real-time threat intelligence.
Comprehensive Threat Intelligence
Detect suspicious activities using email breach analysis, IP validation, proxy detection, and phone verification to identify potential fraudsters.
Dynamic Risk Scoring
Receive clear PASS, REVIEW, or DECLINE recommendations based on sophisticated risk analysis algorithms that adapt to emerging threats.
Payment Fraud Prevention
Leverage machine learning to predict credit card fraud likelihood, protecting your business from chargebacks and financial losses.
Revolutionary Protection Against Online Fraud
In today’s digital landscape, ensuring the security of online interactions is paramount for hospitality and real estate businesses. Autohost’s Fraud Detection leverages advanced technology to safeguard your operations against a myriad of online threats.
Our sophisticated system combines browser telemetry analysis, threat intelligence, and machine learning to identify suspicious activities before they impact your business, providing a seamless, secure environment for legitimate transactions while blocking potential fraudsters.
With Autohost’s Fraud Detection, you’re not just implementing a security tool—you’re deploying a frontline defense against the ever-evolving landscape of online fraud.
How Fraud Detection Works
Autohost’s Fraud Detection operates through a sophisticated two-part system:
Client SDK: Integrated with the Autohost Guest Portal (and soon available for embedding on your own websites), our SDK collects critical telemetry data from browsers to assess the risk level associated with each internet connection.
API Integration: The backbone of our system interacts with the Client SDK to upload fraud telemetry, which is then meticulously analyzed by our Screening AI to scrutinize reservations and other interactions.
This continuous process provides real-time insights into potential risks and threats, allowing you to take immediate action when suspicious activity is detected.
Comprehensive Fraud Indicators
Our system analyzes over 20 different fraud indicators, including:
Email Intelligence: Domain age and registration status, deliverability verification, presence in data breaches, detection of disposable email providers
Connection Analysis: IP address blacklist checking, VPN and proxy detection, Tor exit node identification, datacenter IP recognition, suspicious open port detection, browser timezone vs. IP location mismatch
Contact Verification: Phone number validation, cross-reference with reservation details
Payment Analysis: Machine learning-based credit card fraud prediction, payment information validation
Clear Risk Assessment
Autohost’s Fraud Detection provides clear, actionable results:
Dynamic Scoring System: Each interaction receives a risk score based on the number and severity of detected issues.
Straightforward Status Recommendations: PASS (Low risk, proceed with the booking), REVIEW (Moderate risk, manual review recommended), DECLINE (High risk, potential fraud detected)
Detailed Explanations: Each flagged issue includes clear descriptions of what was detected and why it’s concerning.
Actionable Intelligence: Receive specific information about detected issues, such as which blacklists flagged an IP address or when an email appeared in data breaches.
This comprehensive approach allows you to make informed decisions about potential risks while maintaining a seamless experience for legitimate guests.
Easily integrate your tech stack with Autohost
Use Autohost to integrate the services you need via Web SDK, RESTful API, or our Hosted Verification Page. Alternatively, you can onboard users via a QR code or a link to the verification form without integrating Autohost at all. Don't worry about interruptions with 99.996% uptime.
Frequently Asked Questions
1 How does Fraud Detection integrate with other Autohost features?
Fraud Detection seamlessly integrates with Autohost's Screening AI and other verification tools. The system automatically incorporates fraud telemetry into the overall risk assessment, providing a comprehensive view of potential threats. Results can trigger customized business rules based on your preferences, allowing for automated actions based on risk levels.
2 Will legitimate guests be flagged by the system?
Autohost's Fraud Detection is designed to minimize false positives while maintaining high security standards. The system uses a sophisticated scoring mechanism that considers multiple factors before making recommendations. Some legitimate guests may occasionally trigger REVIEW status if they use VPNs or have other risk indicators, but the detailed explanations allow your team to quickly verify legitimate bookings while still catching actual fraud attempts.
3 What types of fraud can the system detect?
The system is designed to detect various types of fraud including identity theft, payment fraud, account takeovers, and organized booking fraud. By analyzing multiple data points including email information, IP characteristics, browser telemetry, and payment details, Autohost can identify suspicious patterns that indicate potential fraudulent activity before it impacts your business.
4 Can I customize the fraud detection sensitivity?
Yes, Autohost allows you to customize how fraud detection results impact your overall screening process through Business Rules. You can set different thresholds for flagging reservations based on fraud scores and determine whether certain indicators should trigger automatic reviews or simply contribute to the overall risk assessment.
5 How does Payment Fraud detection work?
Autohost's Payment Fraud feature uses machine learning algorithms to predict the likelihood of credit card fraud based on payment information submitted through the Guest Portal. This system analyzes various risk factors associated with the payment method and transaction characteristics to identify potentially fraudulent payments before they result in chargebacks or financial losses.
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20K+
fraud indicators analyzed
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95%
reduction in fraudulent bookings
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24/7
real-time threat monitoring
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