Nasuni Buys DryvIQ, Adds Governance Across 40-Plus Data Repositories

Nasuni has acquired DryvIQ to put content discovery, sensitivity detection and governance alongside its file-data platform, extending those capabilities across more than 40 cloud and on-premises repositories. The company’s bet is that enterprises will want to classify and control unstructured files before those files are exposed to AI.

Nasuni announced the acquisition on August 27. Financial terms were not disclosed. DryvIQ is a provider of intelligent unstructured-data management, and its capabilities are available immediately; Nasuni plans deeper integration with the File Data Platform over the coming months.

A policy layer before AI access

DryvIQ adds content-level discovery and classification, sensitivity detection, and automated policy-driven governance to Nasuni’s platform. Its stated purpose in the combined product is to let customers classify content and apply policies before data is exposed to AI, rather than treat governance as a downstream task.

The operational claim is specific. DryvIQ scans more than 550 file formats, more than 100 entities and more than 1,000 business document types. It detects personally identifiable, health and payment-card information across more than 175 languages, according to Nasuni’s described capabilities.

The platform bet is consolidation

The acquisition is part of a broader product-building sequence. Nasuni calls DryvIQ its second data-related acquisition of the year, after Resilio, while separately describing DryvIQ as its third 2026 addition after Resilio and AI Activate. AI Activate is Nasuni’s permission-aware AI access product.

What DryvIQ’s policy controls are designed to do

• Quarantine content identified as high risk.
• Apply retention and sensitivity labels, and remediate permissions.
• Support defensible deletion and map enforcement to GDPR, HIPAA and PCI DSS.

Coverage is not accuracy

Repository reach and format coverage do not establish how well discovery and classification models perform against messy enterprise files. The announcement provides no independent accuracy figures, leaving the practical quality of the pre-AI control layer unquantified.

A second commercial question is still open: Nasuni has not said whether DryvIQ will arrive as a feature for all customers or as a premium module. That decision, along with the planned integration work, will determine whether the deal changes customers’ day-to-day governance or mainly broadens Nasuni’s platform offering.