New OnData Features Make It Even Easier to Protect Sensitive Data

New OnData Features Make It Even Easier to Protect Sensitive Data

Protecting sensitive data is becoming more complex.

Organizations are no longer responsible only for structured data stored in databases. Sensitive information now lives across documents, spreadsheets, PDFs, shared folders, email attachments, cloud storage, internal systems and third-party workflows.

That creates a major challenge for security and compliance teams: How do you protect sensitive data when it is constantly being copied, moved, shared and stored in different places?

OnData is helping organizations answer that question with new platform features designed to make sensitive data protection easier, more automated and more complete.

The Challenge: Sensitive Data Is Everywhere

For many organizations, sensitive data is not limited to one database or one application.

Personally identifiable information, protected health information, financial records, employee information, customer details and other confidential data often appear in both structured and unstructured formats.

That means sensitive information may be stored in:

  • Documents.
  • Spreadsheets.
  • PDFs.
  • Shared drives.
  • Cloud folders.
  • Email attachments.
  • Reports.
  • Exported files.
  • Business workflows.

This creates risk because files are often easier to copy, download, email or move outside controlled environments. Even organizations with strong database security can still expose sensitive data through documents and files.

The pain points are familiar:

  • Security teams do not always know where sensitive files are located.
  • Employees may share documents without realizing they contain regulated data.
  • Files can be copied or moved outside approved systems.
  • Manual classification is slow and inconsistent.
  • Compliance teams need stronger controls over who can access sensitive information.
  • Traditional file security may not follow the document wherever it goes.

OnData SecureFile was built to help address that gap.

Introducing OnData SecureFile

OnData SecureFile is a new file protection feature designed to protect sensitive unstructured data located in documents and files.

With SecureFile, documents that contain sensitive information can remain encrypted and protected no matter where they are sent, copied or stored. Access is controlled based on a Need-to-Know Data model, meaning only authorized users with the proper permissions can view the protected information.

This helps organizations extend OnData’s data protection approach beyond databases and into the files and documents that teams use every day.

SecureFile can help protect files containing sensitive data such as:

  • Personally identifiable information.
  • Protected health information.
  • Employee records.
  • Customer information.
  • Financial data.
  • Confidential business records.
  • Other regulated or sensitive information.

The goal is simple: Sensitive data should remain protected, even when the file leaves its original location.

Automated Discovery, Classification and Protection

One of the biggest challenges in file security is knowing which documents contain sensitive data.

Manually reviewing files is time-consuming, inconsistent and difficult to scale. As organizations grow, the number of documents and data sources grows with them.

OnData helps simplify that process through automated discovery, classification and protection.

Using artificial intelligence and flexible business rules, OnData can help identify documents that contain sensitive information. Once those files are discovered and classified, SecureFile can automatically encrypt and protect them based on the organization’s data security policies.

This gives security and compliance teams a more efficient way to manage sensitive files without relying only on manual review.

How OnData Helps Reduce Risk

OnData’s latest features are designed to help organizations close one of the most common security gaps: unstructured sensitive data.

By combining automated discovery, classification and encryption, OnData helps organizations:

  • Locate sensitive data in documents and files.
  • Classify files based on sensitivity and business rules.
  • Automatically protect documents that contain sensitive information.
  • Control access based on need-to-know permissions.
  • Reduce the risk of unauthorized file sharing.
  • Support compliance and governance requirements.
  • Extend data protection beyond databases.
  • Help prevent sensitive data exposure when files are copied, moved or shared.

This is especially important for organizations that handle regulated data, work with distributed teams or rely on document-heavy business processes.

Runtime Encryption Patent Approved

OnData also recently received approval from the U.S. Patent and Trademark Office for its Runtime Encryption technology.

Runtime Encryption is central to OnData’s mission of protecting sensitive data at all times. While many security tools focus on protecting data at rest or in transit, OnData’s Runtime Encryption technology helps address a critical gap by protecting sensitive data while it is in use.

That means confidential and regulated data can remain protected until an authorized user or approved process has a verified need to access it.

The approval of this patent reinforces OnData’s role in advancing data-layer security and helping organizations build stronger Need-to-Know Data environments.

A More Complete Approach to Sensitive Data Protection

Modern data protection cannot stop at the database.

Organizations need to protect sensitive information wherever it lives — in systems, applications, reports, documents and files. They also need automation that reduces manual effort and makes security policies easier to enforce.

OnData’s latest platform updates help organizations move closer to that goal.

With SecureFile, automated discovery and classification, and patented Runtime Encryption technology, OnData gives businesses a stronger way to protect sensitive data across both structured and unstructured environments.

The result is a more practical, scalable and secure approach to data protection.

Sensitive data should not lose its protection simply because it is placed in a file, copied to another location or shared with another user. With OnData, organizations can keep that data protected and accessible only to those with a true need to know.