Varonis Is Changing. Is It Time for You to Change Too?

If you are a Varonis on-premises customer, you already know that a change is coming. Varonis is ending support for its legacy self-hosted platform on December 31, 2026. The path Varonis wants customers to take is clear: move to Varonis SaaS. But that should not make your decision automatic.

You are already going through a migration. You will need to evaluate a new architecture, validate policies, involve security and compliance teams, and invest time and resources in the transition. So this is a good time to ask a much more important question:

If you were choosing a data security platform today, would you still choose Varonis? For many organizations, the answer deserves a fresh look.

Your data environment has changed. Has your data security platform changed with it?

Varonis built its reputation protecting on-premises file systems. That made sense when sensitive enterprise data was concentrated in file shares, SharePoint, Active Directory, and other traditional environments. That is no longer where enterprise data stops. Sensitive data now lives across AWS, Azure, GCP, Snowflake, Databricks, SaaS applications, collaboration platforms, databases, and on-premises infrastructure.

AI is accelerating that change even further. Copilots, models, applications, and AI agents are gaining access to enterprise data. Machine identities are accessing data alongside human identities. Data is being copied, transformed, shared, and consumed at a speed that traditional security models were never designed for.

This changes what organizations should expect from a data security platform. Finding sensitive data is no longer enough. Organizations need to understand what the data is, where it lives, who and what can access it, whether that access creates risk, and what they can do about it. That understanding also needs to stay current as the environment changes.

Replacing Varonis should not be about finding another way to do what you were doing five years ago. It should be about choosing the platform you need for the next five years.

If you have to migrate anyway, why not evaluate the market?

There is a simple reason every Varonis customer should consider alternatives right now. You are already being asked to change your platform. Staying with Varonis does not mean staying where you are. For self-hosted customers, that option is going away.

Moving to Varonis SaaS means adopting a different deployment model and going through a migration. Replacing Varonis also means adopting a different platform and going through a migration. The question is not whether you have to make a change. The question is which change is worth making.

If you are going to spend the time, budget, and organizational effort anyway, this is the moment to see what else is available.

What should be better this time?

A Varonis replacement should not simply check the same feature boxes. It should solve the problems that have made traditional data security difficult to deploy, operate, and scale.

1. Deployment should not become another infrastructure project

Large enterprises can have hundreds of cloud accounts, thousands of data stores, and petabytes of data. Getting visibility across that environment should not require installing and maintaining infrastructure everywhere your data lives.

Sentra is agentless by design. It discovers and analyzes data across large, complex environments without requiring agents to be installed across every data source. This gives organizations faster deployment and broader coverage while reducing the infrastructure their teams need to manage.

2. Protecting your data should not create another data risk

A data security platform needs to inspect some of your organization's most sensitive information. That makes one question particularly important:

Sentra brings scanning to the data. Discovery, classification, and analysis happen inside your environment. Sensitive data does not need to be copied into Sentra's environment for classification. This is more than a deployment detail. If the goal is to reduce data risk, the security architecture itself should not introduce unnecessary movement of sensitive data.

3. Data security should not require a specialist to operate it

A security platform only creates value if people actually use it. If every question requires an expert, every workflow requires multiple steps, and every investigation becomes a project, the platform eventually becomes something teams check occasionally rather than something they rely on every day. Data security should be easier to use.

Sentra was designed to make complex data security questions easier to answer. Security, privacy, compliance, and data teams can understand where sensitive data lives, how it is exposed, and what needs attention without spending their day navigating a complicated platform. A modern interface is not simply cosmetic. Usability determines whether data security becomes part of how the organization operates or another dashboard that nobody wants to open.

4. You should not have to choose between coverage and scale

Finding sensitive data across a small environment is one problem. Doing it continuously across petabytes of enterprise data is another. As environments grow, traditional scanning approaches can become slow, expensive, and operationally heavy. Repeatedly scanning everything is not a sustainable answer.

Sentra was built for enterprise scale. In a competitive head-to-head evaluation it processed 9 PB in under 72 hours. Its incremental approach focuses ongoing scanning on what has changed instead of repeatedly starting from zero, which cuts ongoing scanning cost by roughly 90 percent against full rescans. This helps organizations maintain current visibility while keeping scanning time, infrastructure, and cost manageable.

Scale is not simply a performance benchmark. If a platform cannot keep its understanding of your data current as your environment grows, its security decisions are being made with yesterday’s information.

5. Finding risk should lead to fixing risk

Security teams do not need another tool that produces a longer list of problems. They need a platform that helps them reduce those problems. Sentra connects sensitive data with access, identities, permissions, exposure, and business context so teams can understand which risks actually matter. Remediation and automation then help turn that intelligence into action.

The goal should not be to tell your security team that it has 10,000 findings. The goal should be to help the team understand which findings matter and reduce the underlying risk.

AI changes the Varonis replacement conversation

The next generation of enterprise data access will not come primarily from more employees. It will increasingly come from machines. AI applications, copilots, models, workloads, and autonomous agents are going to access enterprise data at a scale humans never could.

That means every security team will need to answer three questions:

1. What data can AI see?
2. Should AI have access to that data?
3. How do we continuously govern that access?

Organizations cannot answer those questions without first understanding the data itself. Sentra discovers and classifies sensitive data across the enterprise, connects that data to identities and access, and helps organizations understand where AI creates new exposure. This is why we believe data security and AI security are becoming inseparable.

The platform you choose today should not only help you clean up yesterday’s permissions. It should help you control tomorrow’s data access.

Why organizations are replacing Varonis with Sentra

Organizations evaluating Sentra against Varonis are not simply looking for another DSPM tool. They are looking for a simpler and more modern way to secure data.

• Sentra provides an agentless deployment that gives organizations broad visibility without turning deployment into an infrastructure project.
• Sentra scans data inside the customer's environment, which allows sensitive data to stay where it belongs.
• Sentra continuously discovers and analyzes data so security teams can keep their understanding current as data and access change.
• Sentra was built to operate across massive and complex enterprise data environments without forcing organizations to choose between coverage and performance.
• Sentra provides high-accuracy classification across structured and unstructured data so teams can trust the context behind their security decisions. More than 250 out-of-the-box classifiers cover 130-plus file formats, with accuracy above 98 percent and a false positive rate under 3 percent validated by a third-party evaluation firm.
• Sentra provides a clean and intuitive experience that makes data security easier for security, privacy, compliance, and data teams to use.
• Sentra connects sensitive data with identities, permissions, and access so teams can understand not only where sensitive data exists, but also who and what can reach it.
• Sentra combines data intelligence with remediation and automation so teams can move from identifying risk to reducing it.
• Sentra also extends data security into AI so organizations can understand and govern the data that applications, models, and agents can access.

The difference is not one feature. The difference is the architecture and philosophy behind the platform.

Do not waste a forced migration

If Varonis still meets your requirements, migrating to Varonis SaaS may make sense. But familiarity should not determine the decision.

Your data environment has changed. Your cloud footprint has changed. The identities accessing your data have changed. AI is changing who and what can access that data. Now your data security platform is changing too.

This gives you one of the best opportunities you will have to ask whether the platform you bought years ago is still the platform you would choose today. If you are running Varonis, do not automatically migrate. Compare your options first.

Put Sentra next to Varonis and test both platforms against your actual environment. Compare how quickly they provide coverage. Compare classification accuracy, performance, and usability. Look at where your sensitive data goes during scanning. See how easily your team can answer the questions it deals with every day. Then decide which platform you want protecting your data for the next five years.

If you are already using Varonis, see what replacing it with Sentra could look like.