DataStealth Platform is a data protection solution that discovers, classifies, and protects sensitive data across on-premise, cloud, hybrid, SaaS, and AI environments using tokenization, masking, and encryption. The platform operates transparently at the network layer without requiring code changes, API integrations, or agent installations, allowing it to be deployed across legacy systems, modern cloud infrastructure, and SaaS applications without disrupting existing workflows. Core functionality is organized into three areas: - Data Discovery: Identifies data sources containing sensitive information across on-premise, cloud, SaaS apps, legacy environments, and AI systems. - Data Classification: Automatically classifies sensitive data across applications, databases, file shares, and other repositories. - Data Protection: Applies tokenization, encryption, and masking to sensitive data so that even if accessed by unauthorized parties, the data cannot be used. The platform is stateless and designed for enterprise-scale deployments, supporting horizontal and vertical scaling. It includes built-in compliance alignment for PCI, HIPAA, and GDPR frameworks, along with audit-ready reporting trails. Structured reports are designed to integrate with SIEM, SOC, and compliance tooling. Additional capabilities include 24/7 monitoring, incident response hooks, policy-based enforcement of uniform data protection rules across regions and systems, and built-in resiliency and redundancy for business continuity.