OUR PRODUCTS
OnData secures structured data, unstructured files, and AI-driven workflows with persistent, data-centric protection—at every layer, across any environment.
Zero-Trust by Design
Never Trust. Always verify.
Patented Technology
Runtime protection that stays with the data.
Any Deployment
On-prem, cloud, or hybrid.
Protect sensitive data in organization databases.
Every organization has sensitive data in more than one place. Customer records live in operational databases. Regulated documents move through file shares and collaboration tools. Business data flows into reporting, analytics and test environments. Teams are also under pressure to use internal data with AI services that can generate insights, accelerate work and improve decisions.
OnData products are designed to protect sensitive information across each of those environments. SecureDB protects structured data in databases. SecureFile protects sensitive documents and unstructured files. SecureAI helps organizations use internal data for analytics and AI while limiting exposure of confidential information.
Each solution is purpose-built for a different type of data—yet built on the same data-centric security platform.
| Products | SecureDB | SecureFile | SecureAI |
|---|---|---|---|
| Primary focus | Structured data in databases | Unstructured data in files | AI data and model workflows |
| Key assets | Databases, schemas, tables, columns | Files, documents, shares, endpoints | Training data, prompts, outputs, models |
| Use cases | Database security, DevOps, SaaS apps | File sharing, remote workforce, M&A | AI/ML pipelines, LLM apps, RAG systems |
| Deployments | On-premises, cloud, hybrid | Endpoints, servers, cloud, hybrid | Cloud, on-premises, hybrid |
Why these products work together
Sensitive data protection is strongest when it is consistent. SecureDB, SecureFile and SecureAI are designed to work together as part of a data-centric security approach. Databases, files and AI workflows may look different technically, but the security questions are often the same: Where is sensitive data? Who should be allowed to use it? How should it be protected? What can be shown, masked or encrypted? How can the organization prove that access was controlled?
OnData helps answer those questions with a consistent protection model across the data life cycle.
