What We Have Learned From the Payment Industry About Protecting Sensitive Data

What We Have Learned From the Payment Industry About Protecting Sensitive Data

Protecting sensitive data has become one of the most important priorities for modern organizations. Data breaches are costly, disruptive and damaging to customer trust. Yet many businesses still rely heavily on perimeter controls, application security and siloed systems to protect information that constantly moves across databases, files, cloud platforms and business workflows.

The payment card industry faced this challenge early.

As fraud increased and card data became a high-value target, the industry learned an important lesson: Sensitive data must be protected from the moment it is captured, and that protection must stay with the data wherever it goes.

That lesson now applies far beyond payment cards.

The Payment Industry’s Core Lesson

Before EMV chip cards became common, most card transactions relied on magnetic stripes. That technology made card data easier to copy and reproduce. EMV chips improved authentication and made counterfeit cards harder to create, but they did not fully solve the problem of protecting card data after it was captured.

Attackers shifted their focus. Instead of only trying to reproduce cards, they looked for ways to harvest data as it moved through payment systems. They targeted network traffic, data lines, payment devices and other points where card information could be intercepted.

The industry responded with stronger security standards, including the Payment Card Industry Data Security Standard, or PCI DSS. These controls focused heavily on perimeter security, device inspection, custody controls and compliance processes.

Those controls were important, but they were also difficult and expensive to maintain. They required significant resources, constant oversight and consistent execution.

Eventually, the payment industry moved toward a more efficient model: encrypt the card data as soon as it is presented to the device and keep it encrypted until it reaches the authorized party that needs to process it.

That approach became the foundation for point-to-point encryption, or P2PE.

Why Point-to-Point Encryption Changed the Model

P2PE reduced the number of places where sensitive card data could be exposed. Instead of relying only on every system, network and process around the data, the protection was built into the data flow itself.

The key lessons were simple:

Sensitive data should be encrypted as soon as it is captured.

The protection should be built into the data through strong encryption and key management.

The data should remain encrypted until an authorized party needs it.

The data should be safe to store, copy or transport while remaining protected.

That approach helped reduce the burden on merchants because card data stayed protected throughout the payment process. Instead of treating every environment that touched the data as equally high risk, the industry reduced risk by making the data unreadable to anyone who was not authorized to decrypt it.

This is the same security principle OnData applies to broader sensitive data protection.

The Broader Data Protection Problem

Most organizations today have sensitive data spread across multiple environments.

It may live in databases, documents, spreadsheets, PDFs, data warehouses, cloud storage, reports, application exports and shared folders. It may include personally identifiable information, protected health information, payment data, criminal justice information, education records, employee data, customer information, financial records and intellectual property.

The challenge is that most security controls are still tied to where the data lives.

A database has one set of controls. A file repository has another. A cloud platform has another. A business application has another. Once data is copied, moved or exported, protection can become inconsistent.

This creates several common pain points:

Organizations do not always know where sensitive data lives.

Sensitive data is copied into less secure locations.

Users may have access to information they do not need.

Data can be exposed through files, reports, analytics tools or downstream systems.

Security controls become expensive and difficult to manage across silos.

Compliance teams struggle to prove sensitive data is protected everywhere.

Attackers only need one weak point to access readable data.

The payment industry’s lesson is clear: Do not depend only on the environment around the data. Protect the data itself.

How OnData Applies These Lessons

OnData was built around the idea that all sensitive data should receive the same kind of persistent protection that transformed payment security.

Instead of protecting only card data, OnData helps organizations protect sensitive data across databases, data stores, documents and files. The platform is designed to keep sensitive data encrypted at all times and only decrypt it when an authorized user on an authorized device has a legitimate need to access it.

That means sensitive information can remain protected regardless of where it is stored or how it is transported.

With OnData, organizations can apply the same core principles learned from the payment industry:

Protect data when it is created or as soon as it is identified as sensitive.

Build protection into the data itself through encryption and access control.

Keep data encrypted until an authorized party needs to view it.

Protect data whether it is stored on-premises, in the cloud, in databases or in files.

This gives organizations a more consistent and scalable way to protect confidential and regulated information.

Reducing Complexity and Risk

One of the biggest benefits of P2PE in the payment industry was that it reduced the scope and complexity of protecting card data. Because the data remained encrypted, the number of systems that needed to handle readable card information was dramatically reduced.

OnData brings that same concept to enterprise data protection.

When sensitive data is strongly protected at the data level, organizations can reduce their dependence on siloed security controls. They still need strong network, application and identity security, but those controls are no longer the only line of defense.

If data is copied, moved or stored in another location, it remains protected. If an unauthorized user gains access to a system, the data remains unreadable. If a file is shared beyond its original location, the sensitive information inside can still be controlled.

That reduces risk from external attackers, insider misuse, accidental sharing, overprivileged access and inconsistent security policies.

A Need-to-Know Model for All Sensitive Data

The future of data protection is not just about keeping attackers out. It is about making sure sensitive data is only available to the people and systems that truly need it.

OnData helps organizations create that Need-to-Know Data environment.

Authorized users can access the data they need to do their jobs. Unauthorized users see encrypted or protected data. Access can be governed by policy, device authorization and identity controls. Audit logs can help track who accessed sensitive data, where and when.

This approach supports security, compliance and usability at the same time.

Protecting Data Wherever It Goes

The payment industry learned that card data needed to be protected from the moment it was captured until the moment it reached the authorized processor. That model helped reduce exposure, lower complexity and make stolen data less valuable.

Organizations can now apply the same principle to all sensitive data.

OnData helps make that possible by protecting structured and unstructured data at the data level, keeping it encrypted by default and only making it available to authorized users on authorized devices.

The lesson is simple: Sensitive data should not lose protection when it moves.

With OnData, organizations can protect data wherever it lives, wherever it travels and however it is used.