DataStealth Cloud Deployment vs DataStealth Platform: Side-by-Side Comparison (2026)

DataStealth Cloud Deployment

Enterprise and mid-market teams that need data masking across multiple cloud providers will get real value from DataStealth Cloud Deployment because it handles tokenization and encryption at ingestion time, before data ever lands in your database. The tool covers all four major cloud platforms natively (AWS, Azure, GCP) with BYOK/HYOK key management, and its policy-as-code governance with approval gates actually enforces what your compliance team writes instead of sitting in a wiki. Skip this if your primary concern is data discovery and classification; DataStealth assumes you already know where sensitive data lives, and treats discovery as a secondary feature to the masking engine itself.

DataStealth Platform

Mid-market and enterprise security teams protecting sensitive data across hybrid infrastructure will benefit most from DataStealth Platform's agentless network-layer deployment, which finds and masks data without application changes or agent sprawl. The platform covers NIST ID.AM and PR.DS strongly through automated discovery and classification across on-premise, cloud, SaaS, and legacy systems, with pre-aligned compliance trails for PCI, HIPAA, and GDPR. Skip this if your priority is detection and response over prevention; DataStealth is built for data protection at rest and in motion, not for hunting or forensics.