KYC and AML within the platform: compliance

Introduction

International regulators and licensing authorities strictly require the implementation of KYC and AML procedures to prevent fraud, money laundering and terrorist financing. The online casino platform should provide an automated and reliable process for identifying players, monitoring transactions and reporting to regulators.

1. Regulatory framework

Main standards:
  • FATF Recommendations (especially Rec. 10-16 by CDD and monitoring).
  • EU 4th and 5th AML Directives (for players from the European Union).
  • Local laws: UK Gambling Commission, MGA, Curacao, Federal Tax Service of the Russian Federation.
  • License requirements:
    • Completeness and accuracy of passport data, proof of address.
    • Keep records for at least 5 years after the end of the relationship with the customer.
    • Independent audit once a year.

    2. KYC (Customer Due Diligence) Process

    1. Data collection:
    • Full name, date of birth, address, copies of ID/passport documents, selfies.
    • Source of funds: bank statements or income statements at high limits.
    • 2. Data verification:
      • Online verification through API providers (Onfido, Sumsub, Jumio).
      • PEP/Sanctions List screening (World-Check, OpenSanctions).
      • Geo-verification of IP and documents (Document OCR + geolocation software).
      • 3. Risk levels:
        • Low Risk: basic KYC (automatic ID verification).
        • Medium Risk: Extended verification of the source of funds.
        • High Risk: manual pre-audit, periodic re-verification.

        3. AML (Anti-Money Laundering) process

        1. Transaction Monitoring:
        • Rules for threshold amounts, frequency of deposits/withdrawals, changing patterns of behavior.
        • Scenarios of "typical" suspicious patterns: structuring, rapid in-/out, round-trip.
        • 2. Alerts:
          • Generate tickets when thresholds are exceeded or rules are triggered.
          • Prioritization by customer risk level and transaction volume.
          • 3. Investigation and Reporting (SAR/STR):
            • Formation of Suspicious Activity Report with description of circumstances.
            • Automatic export of data in formats required by the regulator.
            • Internal Compliance Officer notification and submission to FIU as required.

            4. Implementation architecture

            ```mermaid
            flowchart LR
            subgraph Platform
            UI [Frontend] -->Registration DataAPI [API-Gateway]
            API --> Auth[Auth Service]
            API --> KYC[KYC Service]
            API --> AML[AML Service]
            KYC -->Verification via RESTVerifProvider [ID providers]
            AML -->MonitoringMQ [(Message Queue)]
            MQ --> Worker[AML Worker]
            Worker --> DB[(KYC/AML Database)]
            Worker --> Reports[Report Generator]
            end
            ```

            Microservices: separation by functions: Auth, KYC, AML, Notification.
            Message Queue: Kafka or RabbitMQ for asynchronous processing of transactions and events.
            Central base: storage of inspection history, risk levels, transaction logs.

            5. Integration with external providers

            ID check: Onfido, Sumsub, Jumio (REST API, Webhooks).
            PEP/Sanctions screening: World-Check, Dow Jones, OpenSanctions (batch- и real-time).
            AML monitoring: Fenergo, Actimize or open-source solutions (OscarAML).
            Payment aggregators: transfer of transaction data for screening.

            6. Monitoring, logging and auditing

            Metrics and dashboards (Prometheus/Grafana):
            • Number of successfully verified users and rejected attempts.
            • Number and speed of AML events and SARs.
            • Logs (ELK/EFK, Splunk):
              • Detail of each KYC/AML step: incoming data, provider responses, triggering rules.
              • Immutable (WORM) indexes to audit.
              • Audit trail: complete traces of all actions of administrators, compliance officers and system processes.

              7. Technologies and tools

              Backend: Java/Go/.NET/Python microservices.
              API-Gateway: Kong, Tyk, AWS API Gateway with support for OAuth2 and rate-limiting.
              Message Broker: Kafka/RabbitMQ to offload synchronous API.
              Workflow engine: Temporal or Camunda for complex re-verification scenarios.
              Storage: PostgreSQL with TDE and column encryption (pgcrypto).

              8. Risk management and re-verification

              Permanent profiling: dynamic change in the level of risk based on behavior.
              Re-verification: once every 6-12 months for Medium/High Risk customers or after large payments.
              Automatic Remiders - Notifies users to download new documents.

              9. Implementation Recommendations

              1. Pilot run: Automate basic KYC for Low Risk first, then incremental expansion.
              2. Lean-compliance team: Bring together developers and compliance officers for operational rule adjustments.
              3. CI/CD and Infra as Code: deployment of KYC/AML services via Terraform, automatic testing of integrations.
              4. Regular training: personnel on fraud pattern recognition and regulatory requirements updates.

              Conclusion

              Effective implementation of KYC and AML in the online casino platform requires a clear understanding of regulatory regulations, a well-thought-out microservice architecture, automation through API providers and constant monitoring. Integration of external services for identity verification and sanctions list, asynchronous AML monitoring, centralized reporting and regular audits ensure full compliance with requirements and minimize business risks.