Inline data protection platform for on-prem, legacy, hybrid & cloud envs.
by DataStealth · datastealth.io · source ↗
DataStealth is a data security platform that discovers, classifies, and protects sensitive data at the field level using tokenization, dynamic data masking, and encryption. It is deployed inline and agentless across on-premise, cloud, hybrid, SaaS, mainframe, and AI environments without code changes or API integration. The platform protects data in transit and at rest for enterprises in finance, insurance, telecom, retail, healthcare, and travel and transportation, and includes AI/LLM prompt protection by tokenizing values before they reach prompts, embeddings, training sets, or agent tools.
Field-level data protection using tokenization, dynamic data masking, and encryption Inline and agentless deployment without code changes or API integration Data discovery and classification across on-prem, cloud, SaaS, legacy, and AI environments Test data management and cross-border data transfer protection AI/LLM prompt protection that tokenizes values before prompts, embeddings, and training sets PCI DSS Level 1 Service Provider with SOC 2 Type II and HIPAA compliance
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