Why We Acquired DryvIQ: Because You Can’t Build a Data Strategy on Data You Don’t Understand 

Every enterprise I speak with tells me the same thing. They know their unstructured data is one of their most valuable assets, they know it’s one of their least understood, and the cost to manage it is spiraling. They can tell you how many petabytes they’re storing, but not what’s actually inside those files, whether any of it is sensitive, how valuable it is, or how they should manage it.  

Here’s the thesis, plainly stated: enterprise AI does not need another copy of your files. It needs continuously current, governed context drawn from the operational data where your business actually works. You can’t build that context or make smarter decisions about what it costs to manage without first understanding what your data contains. That’s the reason we acquired DryvIQ. 

Operational Intelligence + Content Intelligence = Complete File Data Intelligence 

Nasuni and DryvIQ operate at fundamentally different, but complementary, layers. 

Nasuni is the system of record: the place where files live, are protected, versioned, and activated for enterprise teams and the AI that supports them. Nasuni knows where a file lives, who can access it, how it changes, and how it is protected. 

DryvIQ adds what comes next. It analyzes file content across more than 40 repositories, including Nasuni, but also SharePoint, Box, Google Drive, legacy ECMs, and others. It can answer four questions no unstructured data platform can answer on its own: What is this content? What is its value? What is its risk? And what should we do with it? 

These can’t be answered by metadata alone. Metadata tells you that something is a PDF created in March. It doesn’t tell you it’s a PDF containing 4,000 unredacted records that’s been shared with three external partners. DryvIQ’s classification models open files, read what’s inside, and detect sensitive information across more than 1,000 document types and 175 languages. File infrastructure knows about files. Content intelligence knows what files mean. 

DryvIQ extends that intelligence across the entire enterprise file environment, giving Nasuni customers visibility not just into the data they manage today, but everywhere files live. Together, these two forms of intelligence — operational state and content understanding — create the continuously current, governed context that enterprise AI needs. 

Content hygiene is a practice, not a project 

One of the most dangerous assumptions in enterprise data management is that classification is a one-time project. 

It isn’t. Think about what happens inside your file environment on any given Tuesday. Someone uploads a spreadsheet with customer Social Security numbers to a folder shared with an external partner. An AI workflow pulls from a location that was clean three months ago but now contains unprotected records nobody flagged. 

Unstructured data is produced continuously, modified constantly, and shared unpredictably. Without an active system watching, it can drift toward disorder on an almost daily basis. The same way you don’t patch your network once and call it secure, you cannot classify your files once and call them governed. 

DryvIQ’s governance engine is built for exactly this: continuous, policy-driven enforcement. When a file is classified as high-risk, automated rules quarantine it, apply sensitivity labels, remediate permissions, or flag it for defensible deletion. This runs always-on, across the entire enterprise file environment, not just data stored in any single system. 

AI makes this urgent 

Every enterprise I work with is deploying AI against their file data or planning to. Our State of Enterprise File Data Annual Report 2026 found that 97% of organizations have deployed or are piloting AI agents, yet 46% say AI has already revealed significant issues with data quality and governance. That’s not surprising. AI is only as trustworthy as the data it consumes. Feed an AI system unclassified sensitive records and over-shared confidential documents, and you haven’t activated AI. You’ve turned a governance gap into a business risk. 

Classification isn’t an afterthought to AI activation. It’s the gate that makes it responsible. That gate is becoming more important, not less. AI has moved beyond reading your data to reasoning over it and acting on it. Classification no longer just determines what AI can see; increasingly, it determines what AI is permitted to do. 

The emerging industry principle is clear: don’t rely on the AI model to police itself, enforce control in the data layer around it. DryvIQ classifies and labels the content. Nasuni controls what enterprise teams and AI agents can access. The result is enforcement that lives outside the model, where it belongs. 

The cost of not knowing 

When you don’t know what your files contain, you store everything, protect everything, and pay for all of it, regardless of whether the data is valuable, redundant, or risky. That was already expensive. Now enterprises are simultaneously funding AI compute, inference, data pipelines, and model consumption on top of their existing storage infrastructure. Our research found that 62% of organizations expect hardware costs to rise, and 43% face growing operational burden from refresh cycles. The question every CIO should be asking is: Why finance yesterday’s file infrastructure while funding tomorrow’s AI infrastructure? 

Content intelligence combined with Nasuni’s hybrid cloud infrastructure changes that equation, giving organizations the insight to make data-driven retention decisions and the flexibility to place data where it makes the most strategic sense. Whether that is on-premises, in the cloud, or both. 

What this changes for our customers 

Let’s look at what we’ve delivered in the last six months. 

UniFS provides the operational file data foundation. Resilio extends high-performance access to distributed teams and the enterprise edge. DryvIQ adds cross-environment content intelligence, classification, and governance. AI Activate makes governed operational file context available to the AI platforms and agents our customers choose. 

Together, these capabilities create something much larger than a collection of features. They create an operational file-data platform designed for the AI era, one that can understand, manage, move, protect, govern, and activate enterprise file data at scale. 

Practically, that means customers can: 

Manage 

• Understand what’s inside their files across the enterprise environment. DryvIQ continuously analyzes content across more than 40 repositories rather than limiting intelligence to one storage platform. 

• Make infrastructure decisions based on the value of data, not simply its volume. Organizations can identify redundant, obsolete, sensitive, and business-critical information and treat each appropriately. 

Protect 

• Reduce the risk of sensitive information entering AI workflows. DryvIQ classifies and labels content while Nasuni and AI Activate enforce governed access to operational files. 

Activate 

• Give AI continuously current operational context. Instead of relying on another disconnected copy of the file environment, AI systems can work from governed information connected to the authoritative source. 

• Use the AI ecosystem they’ve already chosen. AI Activate is built around the open Model Context Protocol and designed to work across Anthropic, OpenAI, Google, Microsoft, and whatever comes next. 

• Distribute governed file data to every edge at speed. Resilio delivers LAN-speed access at up to 200 Gbps, so distributed teams and edge sites work from current, governed data without dedicated infrastructure 

The message I want to leave you is this. Your files aren’t just storage objects. They’re contracts, designs, engineering drawings, and intellectual property. That data must be understood, governed, and activated, not just stored. And that work is never finished, because the data never stops changing.  

That’s why we acquired DryvIQ (available now), why we’ll keep investing here, and why for the first time there’s a complete platform to do it all in one place.