Data Management
August 27, 2026
BOSTON, Aug. 27, 2026 — Nasuni today announced it has acquired DryvIQ, a leader in intelligent unstructured data management. The acquisition adds AI-powered content intelligence and governance capabilities to the Nasuni File Data Platform — including content-level discovery and classification, sensitivity detection, and automated policy-driven governance — giving organizations greater visibility and control over unstructured data, not just within Nasuni, but across more than 40 cloud and on-premises repositories.
“Our customers are looking to us for help with data strategies to support safe AI access in a world of rising infrastructure costs. To meet that need, this year we’ve added best-in-class edge performance with Resilio, permission-aware AI access with AI Activate, and now content intelligence and governance with DryvIQ,” said Nick Burling, Chief Product Officer at Nasuni. “With UniFS as the foundation, no other solution manages, moves, classifies, governs, and activates enterprise file data in a single platform. Customers have been attempting to stitch together a solution across multiple vendors for years. Now Nasuni provides one platform to manage, protect, and activate unstructured data with proven impact on both cost reduction and productivity gains.”
With the addition of DryvIQ, Nasuni enables enterprises to:
- Discover and classify content: AI-powered models scan file content across more than 550 file formats, over 100 entities, and over 1,000 business document types, detecting PII, PHI, and PCI data across more than 175 languages.
- Identify, organize, and take action based on file content: Customers can continuously discover, classify, and manage unstructured data in-place and at scale. This helps organizations fuel AI initiatives with high-quality data, support regulatory compliance, and eliminate redundant, obsolete, and non-critical data.
- Optimize infrastructure costs with data-driven decisions and hybrid cloud flexibility: DryvIQ provides the content-level intelligence to make informed decisions about how data is managed, classified, and governed. Nasuni provides the flexibility to place data where it makes the most strategic sense, whether on-premises, in the cloud, or both, optimized for team and AI access as well as infrastructure cost.
- Enforce governance automatically: Configurable policy rules quarantine high-risk content, apply retention and sensitivity labels, remediate permissions, and support defensible deletion across more than 40 cloud and on-premises repositories. Policy enforcement can be mapped to GDPR, HIPAA, PCI-DSS, and other regulatory frameworks.
- Activate data for AI with confidence: By classifying content, detecting sensitivity, and enforcing policy before data is exposed to AI, DryvIQ ensures organizations can activate unstructured data for enterprise teams and the AI that supports them safely and at scale.
“Organizations are increasingly focused on turning unstructured data into a strategic asset, but content is scattered across dozens of repositories, and most of it has never been classified,” said Mark Brazeau, Founder and Chief Strategy Officer at DryvIQ. “By joining Nasuni, we can bring our content intelligence and governance capabilities directly into a cloud-native file platform, giving customers a single, governed foundation to classify, protect, and activate data wherever it lives.”
DryvIQ is available to use immediately, and Nasuni plans to deepen the integration with its file data platform over the coming months. To learn more about the acquisition, click here.
Nasuni is a leading unstructured data platform for enterprises where file data is mission-critical for both people and AI. We power the operational file layer where work happens to help organizations manage, protect, and activate data so teams can work smarter, reduce costs, and operate securely without limits. Built on a patented architecture that fuses cloud object storage with enterprise file services — including permissions, versioning, and a global namespace — Nasuni delivers high-performance file access, global data availability, and a scalable, governed, AI-ready single source of truth across every major cloud. Trusted by more than 1,300 enterprises globally, Nasuni helps organizations modernize file infrastructure, strengthen data security, and support AI-driven operations. Learn more at www.nasuni.com.
DryvIQ enables organizations to manage the full content lifecycle with intelligence, speed, and scale. As enterprises race to accelerate AI adoption, reduce risk, and control cost, unstructured content remains their largest and least-governed asset. DryvIQ solves this through intelligent, context-driven lifecycle management spanning 40+ cloud and on-premises systems, empowering the world’s largest organizations to move faster, operate smarter, and govern with confidence. Trusted by more than 1,100 global organizations and powering transformation for leading Fortune 1000 enterprises, DryvIQ delivers the scale, security, and performance required to make content truly business-ready for governance, compliance, archival, and retention. For more information, visit www.dryviq.com.
The Big Data Inside Amazon’s New Fire Phone
The new Fire phone that Amazon launched this week looks like your ordinary black smartphone,…
Three Reasons to be Scared of the Internet of Things
We know the Internet of Things forecasts: 50 billion connected devices by 2020. Apparently, there’s…
Wanted: Intelligent Middleware That Simplifies Big Data Analytics
We’ve seen tremendous technological innovation in the data analytics space over the past 10 years….
GPUs Tackle Massive Data of the Hive Mind
LIVE from GTC12 — The flock of birds that weaves seamlessly through the sky, propelled…
Why Hadoop on IBM Power
In the quest to achieve data-driven insight, Hadoop running on Intel X86-based processors has emerged…
Datanami’s Leverage Big Data Summit Wraps Up
Dialog and networking were on the Datanami agenda this week as we kicked off our…
AWS Has Plenty of Analytics Tools. So Why Buy DuckLabs?
AWS already has plenty of ways to analyze data. It can tap into Redshift, Athena,…
McKinsey Report: Enterprise AI Is Becoming a Two-Speed Race
The enterprise AI race is starting to produce some separation. While AI adoption continues to…
AI’s Data Appetite Is Growing. Micro1 Just Hit $500M Run Rate
Micro1 says its gross annual run rate has jumped from $100M to $500M in just…
Why Enterprise AI Costs Are an Inference Problem, Not a Training One
Ask most enterprises where their AI budget goes and they point at training runs, or…
Data Is the New Gold? YipitData Aims for $2.5B-Plus Sale
The AI boom has mostly been a race for more chips, better models and bigger…
Nobel Laureate David Baker Takes Aim at the Virtual Cell with GenBio AI
What if scientists could test a new drug or make changes to a cell without…
