Ticket Sales & Order ManagementPurpose
1.2. Automatedly identify suspicious transactions—high-value purchases, rapid sequential orders, mismatched payment and customer details.
1.3. Automates cross-checking against known fraud databases, verifying device/IP reputation, and analyzing historical purchase behavior patterns.
1.4. Triggers real-time automated flagging, blocking, or escalation to a human reviewer reducing manual workload.
1.5. Automates compliance with industry regulations to avoid penalties and reputational damage.
Trigger Conditions
2.2. Automator invokes API when orders from same user/IP/device within a short interval exceed limit.
2.3. Automation launched if payment information fails cross-verification checks.
2.4. Automatable detection of order patterns matching known fraud signatures.
2.5. Automated alert if customer data mismatch between ticketing, payment, and user registration info.
Platform Variants
3.1. Stripe Radar
- Feature/Setting: Fraud detection rule automation; configure "rule triggers" for transaction flagging.
3.2. Adyen RevenueProtect
- Feature/Setting: Automate block list configuration, device fingerprinting enablement, and real-time transaction risk assessment API.
3.3. Sift Science
- Feature/Setting: Automates real-time decisions with "Score API"; webhook for automated case review escalation.
3.4. Kount
- Feature/Setting: Automate velocity checks, geolocation mismatches, and AI-driven fraud scoring via API integration.
3.5. Signifyd
- Feature/Setting: Automator submits order data for automated fraud guarantee decision via "Case API".
3.6. Ekata
- Feature/Setting: Configure "Transaction Risk API" for automated identity validation and flagging suspicious behavior.
3.7. Emailage
- Feature/Setting: Automatable risk assessment via “Email Risk API”; triggers workflows on high-risk scores.
3.8. MaxMind minFraud
- Feature/Setting: Automates risk scoring using "Score API" and IP risk factor thresholds for ticket orders.
3.9. Twilio SendGrid
- Feature/Setting: Automate alert notifications via "Transactional Email API" for flagged orders.
3.10. Amazon SNS
- Feature/Setting: Automatedly publish fraud alert notifications for ticket sales team using “Publish” action.
3.11. Zendesk
- Feature/Setting: Configure workflow to automatically create support tickets on flagged transactions via "Ticket API".
3.12. Slack
- Feature/Setting: Automator posts instant fraud alerts to finance or risk channel using "Incoming Webhook".
3.13. Google BigQuery
- Feature/Setting: Automatedly store and query flagged transaction logs for further investigation via “Streaming API”.
3.14. Microsoft Power Automate
- Feature/Setting: Automate complex conditional workflows; on fraud flag, chain actions to alert and log events.
3.15. Auth0
- Feature/Setting: Automatable anomaly detection and block suspicious logins associated with fraudulent orders.
3.16. Datadog
- Feature/Setting: Automate anomaly detection dashboards for transaction spikes via “Monitor API”.
3.17. RapidAPI
- Feature/Setting: Use third-party fraud API endpoints in automated detection workflows.
3.18. Salesforce
- Feature/Setting: Automated case assignment or escalation for flagged sales via “Process Builder”.
3.19. Freshdesk
- Feature/Setting: Automator creates fraud support tickets upon detection using “Ticketing API”.
3.20. Zapier
- Feature/Setting: Automate cross-platform actions—flagged order triggers Slack alert and Google Sheet entry.
Benefits
4.2. Automated monitoring at scale—protects revenue, reputation, and customer loyalty.
4.3. Automator ensures compliance with ticketing industry standards and regulations.
4.4. Automatable improvements—easily adapt to new fraud tactics or risk profiles.
4.5. Reduces manual review, freeing staff for high-value tasks and fostering trust with event partners.