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THE ONDATA PLATFORM

From Discovery to
Presistent Protection

Most platforms stop after identifying sensitive data. OnData goes further—uniting discovery, classification, runtime encryption, access control, and policy enforcement at the data layer.
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Zero-Trust by Design

Never Trust. Always verify.

Patented Technology

Runtime protection that stays with the data.

Any Deployment

On-prem, cloud, or hybrid.

Discovery and Classification Are Only the Beginning

Modern organizations don’t struggle because they lack data. They struggle because sensitive data is scattered across databases, files, cloud environments, applications, analytics pipelines, and AI workflows. Finding that data matters. Classifying it matters. But visibility alone doesn’t protect it.

OnData helps organizations move from knowing where sensitive data lives to actively protecting it wherever it moves or is used. The platform combines automated discovery, intelligent classification, policy-driven access control, and patented runtime encryption into one unified data protection layer.

The result: sensitive data that remains protected at rest, in motion, and in use—even when applications, users, credentials, or infrastructure are compromised.

1. Discover

Know where sensitive data lives.

  • Identify sensitive data across databases, files, and cloud environments

  • Surface regulated data such as PII, PHI, financial records, and confidential business information

  • Map where sensitive data exists, moves, and is accessed

  • Establish the foundation for access control, encryption, and compliance

2. Classify

Understand what the data is and how it should be handled.

  • Classify data by sensitivity, risk, and regulatory relevance

  • Support policy decisions based on data type, user role, context, and usage

  • Create a consistent governance model across databases, files, and AI workflows

  • Lay the foundation for lineage, ownership, and data management

2. Protect

Take discovery and classification to the next level.

  • Apply runtime encryption based on classification and policy

  • Enforce need-to-know access at the data element level

  • Protect data across applications, users, AI agents, and workflows

  • Maintain protection at rest, in motion, and in use

  • Generate audit-ready visibility for compliance and investigations
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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.

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SecureAI

Safeguard data across the entire AI lifecycle. Protect training data, prompts, outputs, and models with persistent, policy-driven controls.

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SecureDB

Protect structured data in databased with transparent, policy-based encryption and granular access controls—without impacting performance.

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SecureFile

Secure sensitive files everywhere they live. Encrypt, control access, and track usage across servers, endpoints, and the cloud.

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SecureAI

Safeguard data across the entire AI lifecycle. Protect training data, prompts, outputs, and models with persistent, policy-driven controls.

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Which Product Is Right for You?

Each solution is purpose-built for a different type of data—yet built on the same data-centric security platform.
ProductsSecureDBSecureFileSecureAI
Primary focusStructured data in databasesUnstructured data in filesAI data and model workflows
Key assetsDatabases, schemas, tables, columnsFiles, documents, shares, endpointsTraining data, prompts, outputs, models
Use casesDatabase security, DevOps, SaaS appsFile sharing, remote workforce, M&AAI/ML pipelines, LLM apps, RAG systems
DeploymentsOn-premises, cloud, hybridEndpoints, servers, cloud, hybridCloud, 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.