# DataStealth

> 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 deploys inline, agentless, and without code changes, across on-premise, cloud, hybrid, SaaS, mainframe, and AI environments.

DataStealth Inc. is headquartered in Mississauga, Ontario, Canada. The platform sits between applications and data (as a proxy, gateway, or inline network component) and replaces sensitive values with format-preserving tokens or masked substitutes before they reach downstream systems, so applications keep working without ever storing, processing, or transmitting the real value.

## Core capabilities

- [Data Discovery & Classification](https://www.datastealth.io/solutions/discovery): locates sensitive data across on-prem, cloud, SaaS, legacy, and AI environments using pattern matching, validity scoring, contextual analysis, named-entity recognition, and machine learning.
- [Data Tokenization](https://www.datastealth.io/solutions/tokenization): replaces sensitive values with format-preserving tokens that carry no mathematical relationship to the original data, so there is nothing for an attacker (quantum or otherwise) to compute against. Original values are retrievable only by authorized systems through a brokered, logged detokenization.
- [Dynamic Data Masking](https://www.datastealth.io/solutions/masking): applies attribute-based, in-flight masking so different users or systems see different views of the same underlying record, based on role, location, and context, without duplicating data.
- [Test Data Management](https://www.datastealth.io/solutions/test-data): generates realistic, format-preserving, referentially-consistent substitute data for non-production environments in real time during transfer.
- [Cross-Border Data Transfers](https://www.datastealth.io/solutions/cross-border): keeps regulated data resident within its jurisdiction while allowing tokens to move across borders for global operations.
- [SaaS Application Protection](https://www.datastealth.io/solutions/saas): tokenizes or masks sensitive data before it reaches third-party SaaS platforms.
- [File Shares](https://www.datastealth.io/solutions/file-shares): finds and protects sensitive data in unstructured files across SMB, S3, and SharePoint.
- [Mainframe Security](https://www.datastealth.io/solutions/mainframe): protects data on IBM Z / COBOL / DB2 systems without installing agents or modifying mainframe applications.
- [AI Protection](https://www.datastealth.io/): identifies and tokenizes sensitive data before it reaches LLM prompts, embeddings, training sets, or agent tools, and restores it in the response for authorized users.
- Deployment models: on-premise, cloud (AWS, Azure, GCP), hybrid, database proxy, sidecar/service mesh, and batch/streaming workers.

## Compliance and standing

- PCI DSS Level 1 Service Provider.
- PCI SSC Principal Participating Organization, and on the Board of Advisors for the PCI SSC (2025-2027 term).
- Supports compliance workflows for PCI DSS, HIPAA, GDPR, PIPEDA, and CCPA/CPRA; DataStealth executes a Business Associate Agreement (BAA) with healthcare customers handling PHI.
- Recognized in Forrester's Data Security Platform Report.
- Rated 4.8/5 on G2.
- Certified as a Great Place to Work for 5 consecutive years.

## Industries served

Financial services, insurance, telecommunications, healthcare, retail, and travel & transportation. Industry-specific detail: https://www.datastealth.io/industries/finance, /industries/insurance, /industries/telecom, /industries/healthcare, /industries/retail, /industries/travel.

## Key pages

- Platform overview: https://www.datastealth.io/platform
- All solutions: https://www.datastealth.io/solutions
- Blog: https://www.datastealth.io/blogs (RSS: https://www.datastealth.io/blogs.rss)
- Pricing: https://www.datastealth.io/pricing
- Glossary of data security terms: https://www.datastealth.io/glossary
- About DataStealth: https://www.datastealth.io/about-datastealth