Defense & Aerospace — Compliance and Audit Management for Sensitive Data

Overview

The primary purpose of this DAG is to implement compliance controls for sensitive data within the Defense and Aerospace industry, ensuring adherence to regulatory standards and internal policies. The data sources include ERP transaction logs, audit logs, and compliance checklists, which are ingested into the system for processing. The ingestion pipeline begins with data extraction from these sources, followed by transformation steps that include data masking and the application of role-based acc

The primary purpose of this DAG is to implement compliance controls for sensitive data within the Defense and Aerospace industry, ensuring adherence to regulatory standards and internal policies. The data sources include ERP transaction logs, audit logs, and compliance checklists, which are ingested into the system for processing. The ingestion pipeline begins with data extraction from these sources, followed by transformation steps that include data masking and the application of role-based access controls (RBAC) to protect sensitive information. Quality controls are established through continuous monitoring of data integrity and compliance checks, which are logged for traceability. In the event of detected anomalies, the system generates real-time alerts for swift intervention. Regular compliance reports are produced, summarizing adherence to regulations and highlighting any issues that require attention. Key performance indicators (KPIs) such as the number of anomalies detected, time to resolution, and compliance report frequency are monitored to assess the effectiveness of the DAG. This workflow not only enhances data security but also reduces the risk of regulatory penalties, ultimately delivering significant business value by ensuring operational compliance and safeguarding sensitive information.

Part of the Fraud & Anomaly Analytics solution for the Defense & Aerospace industry.

Use cases

• Enhances data security and compliance in sensitive operations
• Reduces risk of regulatory penalties and legal issues
• Improves incident response time for data anomalies
• Facilitates trust and transparency with stakeholders
• Streamlines compliance processes and reporting efforts