Real-time fraud detection and alerting

Purpose

1.1. Identify and prevent fraudulent transactions (e.g., stolen credit cards, identity theft) in real time at online and physical Adult DVD store points of sale.
1.2. Ensure adherence to PCI-DSS, regulatory, and store-specific compliance by autonomously monitoring suspicious activities.
1.3. Instantly alert internal security and management staff, freeze suspect accounts, and trigger verification workflows as needed.

Trigger Conditions

2.1. Abnormally large orders compared to historic norms (custom thresholds).
2.2. Multiple failed transaction attempts from the same account or IP address.
2.3. Purchases from high-risk locations/geographies or flagged payment methods.
2.4. Unusual device/browser fingerprints during checkout.
2.5. Compliance rules violation flagged by risk engines or external watchlists.

Platform Variants

3.1. Stripe Radar
• Feature/Setting: Enable “Rules Engine” to block or flag suspicious payments; configure with custom conditions like fails, card country mismatches.

3.2. Twilio
• Feature/Setting: “Programmable SMS” API to instantly send fraud alerts to staff; configure webhook to send SMS on detected trigger.

3.3. SendGrid
• Feature/Setting: Transactional email API for automated email fraud alerts to compliance officer; dynamic templates using alert variables.

3.4. AWS Lambda
• Feature/Setting: Serverless check on payment webhooks for anomaly detection; code triggers custom alert workflows.

3.5. Datadog
• Feature/Setting: “Security Monitoring” to define real-time fraud signal detection; set up incident notification policies.

3.6. Splunk
• Feature/Setting: “Real-Time Alerts”; set up searches for fraud logs, configure action to email or webhook.

3.7. Sift Science
• Feature/Setting: Fraud Rules Engine/API for risk scoring on all orders; set rule-based blocks and reviewer notifications.

3.8. Auth0
• Feature/Setting: “Anomaly Detection” for suspicious account activities; set webhook to trigger alert chain.

3.9. PagerDuty
• Feature/Setting: “Incident API” post alert integration for severity-based fraud notifications to escalation paths.

3.10. Okta
• Feature/Setting: Adaptive Multi-Factor Authentication (MFA) on risky logins; triggers via context-aware policies.

3.11. Salesforce
• Feature/Setting: Case creation on “high-risk” opportunity objects flagged via API integration.

3.12. Freshdesk
• Feature/Setting: Ticket automation for fraud alerts to compliance team, assign SLA and auto-prioritization.

3.13. Microsoft Power Automate
• Feature/Setting: “When a new alert is posted” trigger for orchestrating internal response chains.

3.14. Zapier
• Feature/Setting: Automated workflows to connect POS, logs, and notification channels for fraud signals.

3.15. RapidAPI
• Feature/Setting: Integrate third-party fraud database APIs for real-time blacklist lookups on transactions.

3.16. Cloudflare
• Feature/Setting: “Bot Management” and “Firewall Rules” to block suspicious patterns seen on checkout.

3.17. Google Cloud Functions
• Feature/Setting: Event-driven scripts run on payment or sign-in anomaly events.

3.18. Intercom
• Feature/Setting: Automated bot chat initiated for real-time user verification post-trigger.

3.19. Slack
• Feature/Setting: “Incoming Webhooks” for fraud alerting in security channels.

3.20. IBM QRadar
• Feature/Setting: “Offense Rules” and instant alert dispatch on defined fraud pattern detection.

Benefits

4.1. Accelerates threat identification and mitigates fraud losses.
4.2. Ensures thorough documentation for compliance audits.
4.3. Minimizes manual intervention and response lag.
4.4. Enhances customer trust and business reputation.
4.5. Adapts to evolving fraud tactics by leveraging multi-platform detection and alert strategies.