Banking — Audit Trail Creation for Sensitive Data Operations

Overview

The primary purpose of the finance_km5_audit_trail DAG is to create a comprehensive audit trail for all operations performed on sensitive data within the banking sector. This is crucial for maintaining compliance with regulatory standards and ensuring data integrity. The data sources for this DAG include transaction logs from core banking systems, access logs from identity management systems, and event logs from security monitoring tools. The ingestion pipeline begins with the collection of thes

The primary purpose of the finance_km5_audit_trail DAG is to create a comprehensive audit trail for all operations performed on sensitive data within the banking sector. This is crucial for maintaining compliance with regulatory standards and ensuring data integrity. The data sources for this DAG include transaction logs from core banking systems, access logs from identity management systems, and event logs from security monitoring tools. The ingestion pipeline begins with the collection of these inputs, which are then processed through several key steps. First, the actions taken on sensitive data are logged, capturing details such as user identity, timestamp, and operation type. Next, access validation is performed to ensure that only authorized personnel can interact with sensitive data, applying strict security controls. Following this, the audit reports are generated, summarizing the logged actions and highlighting any anomalies or unauthorized access attempts. Quality controls are embedded throughout the process, including real-time monitoring of access patterns and error reporting mechanisms. In the event of a failure, an error report is generated to facilitate immediate investigation and resolution. The outputs of this DAG include detailed audit reports, error logs, and compliance documentation. Monitoring KPIs such as the number of unauthorized access attempts, the frequency of audit report generation, and the average time to resolve errors provide insights into the effectiveness of the audit trail. The business value of this DAG lies in its ability to enhance security, ensure regulatory compliance, and foster trust among stakeholders by providing a transparent view of data operations.

Part of the Enterprise Search solution for the Banking industry.

Use cases

• Enhances security of sensitive banking data
• Improves compliance with regulatory requirements
• Increases operational transparency and accountability
• Facilitates quick identification of unauthorized access
• Boosts stakeholder confidence in data management practices