Ensure Compliance for IBM Netezza
Ensuring compliance in IBM Netezza involves leveraging both native capabilities and advanced solutions like DataSunrise Compliance Manager. Regulatory standards such as GDPR, HIPAA, and PCI DSS require rigorous data protection measures. Here’s a comprehensive guide on implementing compliance using IBM Netezza's built-in features and DataSunrise's advanced functionalities.
Native IBM Netezza Compliance Capabilities
IBM Netezza includes essential compliance capabilities such as audit logging and dynamic data masking, which can be configured directly within the platform.
Configuring Audit Logging
IBM Netezza offers comprehensive audit logging via the Advanced Query History feature.
Example of enabling audit logging:
CREATE USER audituser WITH PASSWORD ‘password';
GRANT CREATE DATABASE TO audituser;
CREATE HISTORY CONFIGURATION all_hist HISTTYPE QUERY DATABASE auditDB USER audituser PASSWORD 'password' COLLECT QUERY,COLUMN LOADINTERVAL 5 LOADMINTHRESHOLD 4 LOADMAXTHRESHOLD 20 STORAGELIMIT 40 LOADRETRY 0 VERSION 1;
SET HISTORY CONFIGURATION all_hist_on;
SELECT SESSIONID, DBNAME, TABLENAME FROM AUDITDB.AUDITUSER."$hist_table_access_1";
Implementing Native Dynamic Data Masking
Dynamic Data Masking can be enabled using encryption-based masking directly in Netezza, detailed in the IBM Netezza Dynamic Masking guide:
- Identify sensitive columns requiring masking.
- Apply encryption settings directly via the Netezza SQL interface.
Example SQL for masking a sensitive column:
ALTER TABLE customer_data ALTER COLUMN ssn SET MASKED WITH FUNCTION 'ENCRYPTION';
Enhanced Compliance with DataSunrise
DataSunrise complements IBM Netezza by providing extensive automation in sensitive data discovery, classification, auditing, and dynamic masking.
Automated Data Discovery and Classification
DataSunrise leverages NLP and OCR for automated sensitive data discovery and classification. To implement, log in to your DataSunrise dashboard, select the Data Discovery tab, initiate an automatic scan across IBM Netezza databases, and review the results highlighting sensitive fields. Navigate to Classification settings to enable automatic tagging based on standards like GDPR and HIPAA. More details are available in the Data Discovery guide and Role-Based Access Controls.
Real-Time Auditing and Dynamic Masking
DataSunrise supports real-time audit logging by accessing the Audit Rules section and defining audit rules for database events. For dynamic masking, navigate to the Data Masking section, auto-select sensitive fields, and create tailored masking rules. Detailed guidance is provided in the Audit Rules guide and the Dynamic Data Masking guide.
Automating Compliance and Integration
DataSunrise autonomously manages compliance through Compliance Autopilot, handling tasks such as policy updates, compliance drift detection, and real-time audit rule calibration. It integrates effortlessly into diverse environments (AWS, Azure, GCP, on-premise) using operational modes like proxy-mode, sniffer-mode, and log trailing mode. Explore further in Deployment Modes of DataSunrise and Automated compliance reporting.
Competitive Differentiation and Business Impact
DataSunrise reduces manual compliance efforts significantly compared to traditional solutions, offering seamless integration and comprehensive automated compliance coverage, detailed in DataSunrise Overview. Automating compliance reduces risk, optimizes compliance management, and enhances audit readiness across databases. Request a demonstration of DataSunrise by Requesting a Demo.
