Nasuni, a provider of unstructured data platforms for enterprise teams and artificial intelligence, announced on August 27, 2026, that it has purchased DryvIQ, a company specializing in intelligent management of unstructured information. The transaction brings AI-driven content intelligence and governance tools into Nasuni's File Data Platform, including capabilities for discovering and classifying content, detecting sensitive information, and automating policy-based governance. According to the announcement, the combined platform will give organizations better visibility and authority over unstructured data not only within Nasuni's own system, but spanning more than 40 cloud and on-site storage locations.
The DryvIQ technology scans file content across more than 550 different file formats, identifying over 100 distinct entities and more than 1,000 categories of business documents, while detecting personally identifiable information, protected health information, and payment card data in more than 175 languages. The platform's configurable policy rules can quarantine high-risk content, apply retention and sensitivity labels, fix permission issues, and enable defensible deletion across the full range of supported repositories. Policy enforcement can be aligned with GDPR, HIPAA, PCI-DSS, and other compliance frameworks. DryvIQ is available for immediate use, and Nasuni intends to strengthen its integration with the file data platform in the months ahead.
"Our customers are looking to us for help with data strategies to support safe AI access in a world of rising infrastructure costs," said Nick Burling, chief product officer at Nasuni, in the statement. The company notes that earlier this year it added edge performance capabilities through Resilio, permission-aware AI access with AI Activate, and now content intelligence and governance with DryvIQ. Mark Brazeau, founder and chief strategy officer at DryvIQ, explained that organizations increasingly want to transform unstructured data into a strategic asset, "but content is scattered across dozens of repositories, and most of it has never been classified." By joining Nasuni, DryvIQ can deliver content intelligence and governance features directly into a cloud-native file platform, offering customers a single, governed foundation to classify, protect, and activate data wherever it resides.
The acquisition addresses a key challenge for enterprises seeking to use artificial intelligence safely: the need to classify content, detect sensitivity, and enforce policy before exposing data to AI systems. With DryvIQ's content-level intelligence, organizations can make informed choices about how information is managed, classified, and governed, while Nasuni's platform offers the flexibility to position data on-premises, in the cloud, or both, optimized for team and AI access as well as infrastructure expense. Customers can continuously discover, classify, and manage unstructured data in place and at scale, enabling them to identify, organize, and take action based on file content. According to the company, with UniFS as the foundation, no other solution manages, moves, classifies, governs, and activates enterprise file data in a single platform—customers have spent years trying to piece together solutions from multiple vendors, and now Nasuni provides one platform to manage, protect, and activate unstructured data with demonstrated impact on both cost reduction and productivity gains. The move positions Nasuni to capture demand from enterprises navigating the twin pressures of AI adoption and regulatory scrutiny, though success will depend on whether organizations are willing to consolidate legacy workflows into a single vendor's architecture.