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NLP, LLM & ML Data Compliance Tools for Amazon RDS

NLP, LLM & ML Data Compliance Tools for Amazon RDS

Advanced AI workloads using NLP, LLMs, and ML models increasingly rely on Amazon RDS to handle growing volumes of sensitive data. This creates pressure to maintain regulatory compliance while enabling real-time performance and seamless integrations. Whether you're running PostgreSQL, SQL Server, or MySQL on Amazon RDS, implementing intelligent compliance tools becomes essential.

This article explores how native Amazon RDS tools and DataSunrise capabilities help ensure data compliance through real-time auditing, dynamic masking, sensitive data discovery, and proactive security management across cloud, hybrid, and on-premise environments.

Native PostgreSQL RDS Compliance Features

Real-Time Auditing with `pgaudit`

Amazon RDS for PostgreSQL supports pgaudit, a PostgreSQL extension that provides detailed session and object-level logging. It's a foundational layer for real-time audit trails required by GDPR, HIPAA, and PCI DSS.

Enable pgaudit in PostgreSQL RDS parameter group:

-- Step 1: Add pgaudit to shared_preload_libraries
ALTER SYSTEM SET shared_preload_libraries = 'pgaudit';

-- Step 2: Configure audit logging for roles, reads, writes, functions
ALTER SYSTEM SET pgaudit.log = 'role,read,write,function';

-- Step 3: Apply changes and reboot instance
-- Done via AWS Console or CLI

You can build a centralized audit trail using Amazon S3 and Athena to store and analyze logs efficiently across multiple RDS instances.

PostgreSQL RDS Native Audit Workflow - Flowchart showing how audit logs flow from PostgreSQL DB to CloudWatch Logs and audit queries — Flowchart showing how audit logs flow from PostgreSQL RDS to CloudWatch Logs and are used for audit queries

Dynamic Data Masking in PostgreSQL RDS

Dynamic masking is critical when exposing data to downstream systems or internal teams. Amazon RDS for PostgreSQL now supports masking through view-based transformations.

CREATE VIEW public.masked_customers AS
SELECT
  customer_id,
  LEFT(email, 3) || '***' || RIGHT(email, 3) AS masked_email,
  'XXX-XXX-' || RIGHT(phone, 4) AS masked_phone
FROM customers;

This lightweight, native method ensures PII masking without modifying the original data.

Data Discovery with Amazon Macie

To classify and discover sensitive data at scale, Amazon Macie can be used alongside RDS. It scans RDS backups and exports to detect PII, PHI, and financial data. Macie integrates well with Amazon DataZone’s data discovery features, simplifying governance.

Zero-Touch Compliance with DataSunrise

DataSunrise delivers Autonomous Compliance Orchestration for Amazon RDS, combining no-code policy automation, sensitive data discovery, and real-time threat mitigation in a zero-touch deployment.

Real-Time Auditing at Scale

DataSunrise provides deep database audit controls with customizable rules, audit log storage strategies, and adaptive event response via database activity monitoring. Unlike native methods requiring manual tuning, its machine learning-based audit rules enable continuous learning and suspicious behavior detection.

DataSunrise Learning Rules Interface - Screenshot of SQL filtering and audit learning configuration in DataSunrise — Screenshot of SQL filtering and rule learning interface in DataSunrise for real-time audit behavior detection

Dynamic Data Masking with Surgical Precision

Using DataSunrise’s dynamic masking engine, administrators apply policies based on user role, location, or query content—without altering production data. This supports Differential Privacy and Zero-Trust principles, all enforced through no-code policy automation.

Sensitive Data Discovery

DataSunrise continuously scans your Amazon RDS instance, classifying personally identifiable information and protected health data with predefined and customizable patterns. It integrates into existing workflows to provide automated classification for audit-ready reporting.

DataSunrise Periodic Discovery Policies - Interface to configure regulatory scans for GDPR, HIPAA, PCI DSS and others — Interface to configure recurring scans based on security standards like GDPR, HIPAA, PCI DSS in DataSunrise

Unified Security & Multi-Cloud Deployment

Whether deployed as a reverse proxy, sniffer, or native log trail mode, DataSunrise adapts seamlessly to AWS, Azure, and GCP. Its Unified Security Framework enables consistent policy enforcement across over 40 platforms, including PostgreSQL, SQL Server, and MySQL.

Business Impact & Compliance Outcomes

Organizations using DataSunrise with Amazon RDS benefit from streamlined compliance workflows, faster audit preparation, and one-click compliance evidence. The platform eliminates compliance drift through continuous regulatory calibration while supporting GDPR, HIPAA, SOX, and PCI DSS.

Unlike tools requiring constant manual tuning, DataSunrise delivers autonomous protection with zero-touch policy deployment—helping teams go live in days, not months. Learn more by scheduling a personalized demo tailored to your Amazon RDS environment.