DataStealth Data Security Platform is a data discovery and classification solution designed for hybrid environments. It scans both structured and unstructured data sources — including databases, file shares, SaaS connections, shadow IT, and forgotten development copies — without requiring agents or code changes. The platform operates inline at the network layer, inspecting traffic across protocols such as HTTP, SFTP, JDBC, and ODBC to discover data in motion. It auto-discovers data sources by pointing an agentless scanner at a network segment, identifying assets that may not be tracked in a CMDB. Classification is performed using contextual analysis combined with advanced validation techniques, including Luhn checks for payment card numbers (PANs), Soundex for name matching, and regex with heuristics. This approach is designed to minimize false positives compared to regex-only scanning. Every identified sensitive element is tagged with its type, confidence level, and location. The platform scans 100% of data rather than using sampling, enabling cell-by-cell accuracy for compliance with regulations such as GDPR, PCI DSS 4.0, and CCPA — including support for "right to be forgotten" requests. Sensitive data can be tokenized at the source to neutralize at-rest data. The platform produces a full inventory of PII, PHI, and PCI data across an organization's estate, including cardinality analysis to map data concentration. This inventory is intended to support governance, remediation prioritization, and regulatory reporting.