
On-prem data tokenization, masking & encryption for air-gapped environments.
On-prem data tokenization, masking & encryption for air-gapped environments.
DataStealth On-Premise is a data security platform deployed entirely within a customer's own infrastructure — on bare metal, virtual machines, containers, or Kubernetes — including air-gapped and disconnected environments. The platform performs tokenization, masking, and encryption of sensitive fields before data moves between applications, databases, or storage systems. It operates through multiple deployment models: - Inline Gateway/Proxy: Intercepts and transforms data in real-time between apps, users, or services without code changes. - Database & Data-Store Proxy: Enforces field-level protection on SQL or NoSQL database traffic. - Sidecar/Service Mesh: Runs alongside microservices to apply per-service data protection policies. - Batch & Streaming Workers: Discovers, classifies, and remediates sensitive data across files, data lakes, and event streams. The platform supports web and API traffic (HTTP/S, gRPC, GraphQL), databases and warehouses (SQL and JSON), file shares and object stores (CIFS, NFS, S3-compatible), messaging and streaming systems (Kafka, queues, ETL pipelines), and log/observability pipelines. Key operational capabilities include active-active high availability, horizontal scaling, policy-as-code with versioning and rollback, and SIEM-exportable audit logging. Security and key management features include BYOK (Bring Your Own Key), HSM/KMS integration, TLS/mTLS enforcement, role-based access controls with least-privilege detokenization, and full key usage audit logging. Dynamic masking tailors data visibility based on user roles. SDKs and sidecar deployments allow legacy systems to meet compliance requirements without application code changes.
Common questions about DataStealth On-Premise including features, pricing, alternatives, and user reviews.
DataStealth On-Premise is On-prem data tokenization, masking & encryption for air-gapped environments, developed by DataStealth. It is a Data Protection solution designed to help security teams with Tokenization, Encryption, Least Privilege.
DataStealth On-Premise offers the following core capabilities:
DataStealth On-Premise integrates natively with Kubernetes, Kafka, CIFS, NFS, S3-compatible object stores, gRPC, GraphQL, HTTPS, SQL databases, NoSQL databases, KMS, HSM, SIEM. Integration support lets security teams connect DataStealth On-Premise to existing SIEM, ticketing, identity, and notification systems without custom development.
DataStealth On-Premise is deployed as a on-premises solution, suited to smb, mid-market, enterprise organizations looking to operationalize data protection. The commercial offering is positioned for production security operations with vendor support and SLAs.
DataStealth On-Premise is built for security teams handling Tokenization, Encryption, Least Privilege. It supports workflows including tokenization, masking, and encryption of sensitive data fields, inline gateway/proxy deployment for real-time data transformation, database and data-store proxy for sql and nosql field-level protection. Teams typically adopt DataStealth On-Premise when they need to data protection capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/datastealth-on-premise
DataStealth On-Premise is a commercial Data Protection solution. For detailed pricing information, visit https://datastealth.io/on-premise or contact DataStealth directly.
Popular alternatives to DataStealth On-Premise include:
Compare all DataStealth On-Premise alternatives at https://cybersectools.com/alternatives/datastealth-on-premise
DataStealth On-Premise is for security teams and organizations that need Tokenization, Encryption, Least Privilege. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Data Protection tools can be found at https://cybersectools.com/categories/data-protection
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