Real-time fraud detection alerts

Purpose

1.1. Automate real-time detection of fraudulent payment activity in coin-operated locker systems, ensuring immediate mitigation, user notification, and supporting preventative measures.
1.2. Centralize detection logic to automate pattern analysis, transaction scoring, and immediate internal/external alerts to key personnel.
1.3. Automated streamline of audit logs and compliance reporting, reducing manual effort while enabling automated swift action against multiple fraud vectors (e.g., duplicate payments, suspicious refunds, unauthorized use, payment spoofing).
1.4. Enhances customer trust and safety by automating interventions and minimization of revenue loss.

Trigger Conditions

2.1. Automated trigger on anomalous transaction size or frequency outside of historical norms.
2.2. Multiple failed payment attempts automatedly detected from a single IP or account.
2.3. Automated match to blacklisted cards or payment methods.
2.4. Geographic or temporal patterns outside usual automated locker usage.
2.5. Automated multiple locker activations in short period by same profile or device.

Platform Variants

3.1. Twilio SMS
• Feature/Setting: SMS Alert API; configure automated webhook to send real-time locker fraud alerts to staff mobiles.
3.2. SendGrid
• Feature/Setting: Automated Transactional Mail API for immediate fraud alerting to compliance team inboxes.
3.3. Slack
• Feature/Setting: Automate Incoming Webhooks for real-time fraud channel notifications to security teams.
3.4. Microsoft Teams
• Feature/Setting: Automate Connector setup for Payment Security channel alerts on detection.
3.5. PagerDuty
• Feature/Setting: Automated incident trigger for escalated fraud alerts with configured on-call rotation.
3.6. Splunk
• Feature/Setting: Automated Alert Policies for fraud log monitoring and alert dispatch.
3.7. Datadog
• Feature/Setting: Automated monitors on Payment API logs, sending alerts via events.
3.8. AWS Lambda
• Feature/Setting: Automated fraud detection function triggered by payment stream events for alert workflow.
3.9. Azure Logic Apps
• Feature/Setting: Automated flow for detecting anomalies in locker payment services and automated notification sequencing.
3.10. Zapier
• Feature/Setting: Automated workflow connecting locker backend and alerting platforms.
3.11. Google Cloud Functions
• Feature/Setting: Automated transaction analyzer triggered by payment logs, sends alert via email/SMS integration.
3.12. Stripe
• Feature/Setting: Automated Radar rule configuration to trigger webhooks on suspected fraud.
3.13. PayPal
• Feature/Setting: Instant Payment Notifications (IPN) rule-set for fraud trigger and automated alert emission.
3.14. Auth0
• Feature/Setting: Automated anomaly detection email alerts for suspicious logins tied to payment flows.
3.15. Okta
• Feature/Setting: Automated security automation with Security Notification API for fraudulent access patterns.
3.16. Jira
• Feature/Setting: Automate ticket creation with Webhook trigger for each fraud event.
3.17. ServiceNow
• Feature/Setting: Automated incident generation in response to fraud detection API calls.
3.18. Salesforce Service Cloud
• Feature/Setting: Automated case creation through API on fraud event match.
3.19. Telegram
• Feature/Setting: Automated Bot API pushes real-time fraud messages to a group or admin inbox.
3.20. Freshdesk
• Feature/Setting: Automated Ticketing API for lodging fraud support tickets on detection.

Benefits

4.1. Automates detection and escalation speeds, reducing fraud losses and manual monitoring.
4.2. Enables scalable, automatable coverage across locker locations and payment streams.
4.3. Automates compliance to audit requirements for alerting and evidence.
4.4. Increases customer security trust with immediate, automated responses.
4.5. Supports cost-savings via automated operations and fraud dispute automation.