Compliance and Regulatory AutomationPurpose
1.2. Identify non-compliant records for rapid remediation, audit trail creation, and regulatory reporting in state-controlled alcohol retail.
1.3. Enable large-scale, consistent enforcement of compliance rules, including consent tracking, data retention, customer access requests, and cross-border data transfer controls.
1.4. Minimize manual workloads, reduce compliance risk, maintain trust, and ensure readiness for regulatory audits or investigations.
Trigger Conditions
2.2. Scheduled audit (e.g., nightly/weekly batch review of all customer records).
2.3. Regulatory update notification (detected from monitoring authorities or legal feeds).
2.4. Customer data access/erasure request through portal or support channel.
2.5. Automated import from third-party distributors or point-of-sale systems.
Platform Variants (Software/Service Diversity)
3.1. Microsoft Power Automate
• Trigger: “When an item is created or modified” in Dataverse.
• Action: “HTTP – HTTP request” to custom compliance API.
3.2. Salesforce
• Trigger: “Record Change” in Service Cloud.
• Action: Use “Data Privacy Manager” API to validate Data Subject rights.
3.3. AWS Lambda
• Trigger: S3 put/update event.
• Action: Invoke Lambda function checking Records against compliance logic using Amazon Macie.
3.4. Google Cloud Functions
• Trigger: Firestore write event.
• Action: Call DLP API for sensitive data inspection.
3.5. OneTrust
• Feature: Consent & Rights Automation.
• Setting: Configure “Scheduled Data Scans” for customer data sources.
3.6. TrustArc
• Feature: “Automated Assessment Manager” API.
• Setting: Set to scan defined data fields and generate compliance status.
3.7. SAP Data Custodian
• Feature: Data Residency Compliance checks.
• API: “Compliance Policy Assessment” endpoint configuration.
3.8. Veeam DataLabs
• Feature: Secure Restore with GDPR Scans.
• Setting: Enable “Data Compliance Test” during restore automation.
3.9. Microsoft Purview
• Feature: Data Loss Prevention Policy.
• Setting: Configure “Sensitive Info Types” and “DLP rule for personal data.”
3.10. IBM Guardium
• Feature: Automated policy enforcement.
• Setting: Policy rules for “PII Detection” and logging.
3.11. Informatica Data Privacy Management
• Feature: Data Discovery API.
• Setting: Schedule repetitive “Sensitive Data Scan” tasks.
3.12. Collibra
• Feature: Data Quality & Compliance workflows.
• API: “Trigger Governance Rule” when new records detected.
3.13. Senzing
• Feature: Entity resolution with GDPR compliance check.
• API: “Compliance Enrichment” module activation.
3.14. Symantec DLP
• Feature: Automated Data Scanning.
• Setting: Policy for “Contact/Mailing List” inspection.
3.15. DataGrail
• Feature: Data Subject Request Workflow.
• Setting: Trigger auto-lookups and export functions.
3.16. Workato
• Trigger: “Database row added/updated.”
• Action: Call “GDPR Policy Check” custom recipe.
3.17. ServiceNow
• Feature: Automated Compliance Audits.
• Setting: Schedule “Compliance Scan” workflow.
3.18. Redgate Data Masker
• Feature: Real-time or batch data masking.
• Setting: Script “Personal Data Masking” on insert/update.
3.19. Oracle Data Safe
• Feature: “User Assessment” API.
• Setting: Enable scheduled “Sensitive Data Discovery.”
3.20. Snowflake
• Feature: Automated Tag-based classification.
• Setting: “Dynamic Data Masking” policy with automated triggers.
3.21. SAP GRC
• Feature: Compliance Checklist Automation.
• Setting: Map checklist to “Sensitive Data” object reviews.
Benefits
4.2. Enables rapid identification and remediation of non-compliant data.
4.3. Reduces human error and operational burden by leveraging automated routine tasks.
4.4. Maintains detailed audit trails, ensuring transparency for internal and regulatory reviews.
4.5. Streamlines and speeds up response times to data subject access/erasure requests.
4.6. Supports ongoing compliance as laws and internal policy requirements evolve.