How DataSynthis Gives Security to Datasets and Ensures Privacy

Multi-Layer Security Foundation

Protecting sensitive data starts at the source. DataSynthis applies least-privilege access, environment isolation, and auditable pipelines to keep your datasets secure from ingestion to delivery.

Enterprise-Grade Encryption Standards

We encrypt data at rest using AES-256 and in transit with TLS 1.2+. Customer-managed keys (CMK) are supported. Access is brokered via short-lived tokens and all events are captured for SOC 2 reporting.

Privacy Compliance & Data Protection

Privacy is enforced with automated PII detection/redaction, differential privacy for aggregated analytics, and opt-in data retention policies. Workspaces, roles, and approval flows help you meet GDPR and HIPAA obligations.

End-to-End Traceability

Every dataset ships with a signed manifest containing lineage, schema, and applied policies, enabling end-to-end traceability and rapid audits.

SecureDataVault - Core Encryption Implementation

Encryption Architecture Overview

Client-Side Encryption Flow: File Upload → Key Generation → Data Encryption → Hash Generation → Upload to Server

Server-Side Processing: Receive Encrypted Data → Store in S3 → Save Metadata → Generate Audit Trail

Implementation Details

1. Client-Side Encryption Service

Our frontend encryption service uses Web Crypto API for AES-256-GCM encryption. Each file is encrypted with a unique key generated using cryptographically secure random values. We implement dual hash verification using SHA-256 and SHA-3 (Keccak-256) for maximum integrity assurance.

2. Key Management Service

Encryption keys are protected using PBKDF2 with 100,000 iterations and a user-derived master key. Keys are stored encrypted in local storage and can be securely imported/exported. Each key includes metadata for tracking creation time and last usage.

3. Backend Encryption Service

Server-side processing handles encrypted file storage in AWS S3 with additional AES-256 encryption. We generate secure file IDs using crypto.randomUUID() and maintain comprehensive audit trails with SHA-256 hashes for every action.

4. CSV Processing Service

Specialized CSV processing includes data validation, header sanitization, and sensitive data masking. We detect and handle common CSV issues like inconsistent column counts, duplicate headers, and empty values while maintaining data integrity.

Complete Security Solution

This implementation provides a complete encryption system with client-side encryption using Web Crypto API, secure key management, comprehensive CSV processing with validation, encrypted S3 storage, and dual-hash integrity verification using SHA-256 and SHA-3.