Data Integration and Management AutomationPurpose
1.2. Provide verifiable evidence of user actions for compliance with Italian data protection and fiscal regulations.
1.3. Facilitate audit, incident response, forensic analysis, and internal investigations.
1.4. Enable proactive alerts and periodic reviews of sensitive data accesses and changes.
1.5. Satisfy official requirements for transparency, traceability, and legal enforceability within Agenzia Entrate operations.
Trigger Conditions
2.2. Creation, modification, or deletion of data entries by users or automated services.
2.3. Changes to access permissions or roles.
2.4. API calls that read, write, or alter sensitive datasets.
2.5. System-level activities affecting data integrity or audit-relevant configurations.
Platform Variants
3.1. Microsoft Azure
• Feature/Setting: Azure Monitor Diagnostic Settings – send audit logs for resource access using built-in configuration.
3.2. Amazon Web Services (AWS)
• Feature/Setting: AWS CloudTrail – enable Data Events logging for S3 buckets, DynamoDB tables.
3.3. Google Cloud Platform (GCP)
• Feature/Setting: Cloud Audit Logs – configure ADMIN_READ and DATA_WRITE/READ for resource logging.
3.4. Oracle Cloud Infrastructure
• Feature/Setting: Audit service – enable log retention and streaming for object storage and DB events.
3.5. IBM Cloud
• Feature/Setting: Activity Tracker – activate tracking for all object and user operations in the dashboard.
3.6. Splunk
• Feature/Setting: HTTP Event Collector – configure to ingest audit logs from API endpoints.
3.7. Elastic Stack (ELK)
• Feature/Setting: Filebeat – ship log files to Elasticsearch for indexed audit trail analysis.
3.8. SAP
• Feature/Setting: SAP Audit Log – set policy for saving events related to data access and user actions.
3.9. Salesforce
• Feature/Setting: Event Monitoring – enable transaction security for all record changes and views.
3.10. MongoDB Atlas
• Feature/Setting: Auditing – configure to capture user operations at the database or table level.
3.11. PostgreSQL
• Feature/Setting: pgaudit extension – activate session and object logging for all queries.
3.12. MySQL
• Feature/Setting: Audit Log Plugin – set up to record connections, queries, and data changes.
3.13. Snowflake
• Feature/Setting: Access History – enable organizational-level audit of data modifications.
3.14. Datadog
• Feature/Setting: Audit Trail Logging – set integration for ingesting cloud and application access logs.
3.15. ServiceNow
• Feature/Setting: System Logs – define audit policies for database and record operations.
3.16. Okta
• Feature/Setting: System Log API – retrieve access and administrative action logs programmatically.
3.17. Cisco Meraki
• Feature/Setting: Syslog Integration – forward network and systems logs via API to external CIP compliance loggers.
3.18. Jira
• Feature/Setting: Audit Log – enable tracking for all administrative and user-level record changes.
3.19. Workday
• Feature/Setting: Audit Trail – activate for HR and finance modules to monitor sensitive data changes.
3.20. Atlassian Confluence
• Feature/Setting: Audit Log REST API – collect log data on document access and modifications.
3.21. Box
• Feature/Setting: Events API – retrieve detailed time-stamped record of content access and modification.
3.22. GitHub
• Feature/Setting: Audit Log REST API – pull JSON logs of all repository and organization events.
Benefits
4.2. Deters unauthorized access through transparent, immutable records.
4.3. Provides rapid traceability for incident investigation and resolution.
4.4. Simplifies regulatory audits and reporting for government oversight bodies.
4.5. Reduces risks of data misuse, accidental loss, or internal fraud.