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# Live File Data Infrastructures
Nasuni Lets AI Work From the Same Files as Staff

By Adam Harrie | Written with AI assistance | Published 2026-10-07 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/live-file-data-infrastructures
References: [prnewswire](https://www.prnewswire.com/news-releases/nasuni-delivers-first-of-its-kind-operational-file-data-platform-for-the-ai-era-with-the-additions-of-ai-activate-enterprise-search-resilio-6-0--and-dryviq-302898898.html)

![Live File Data Infrastructures](https://cdn.trendhunterstatic.com/thumbs/640/live-file-data-infrastructures.jpeg)

Nasuni is expanding its [file data infrastructure for AI](https://www.trendhunter.com/trends/liquidindex) with 'AI Activate,' 'Resilio 6.0,' and 'Enterprise Search,' a set of additions that lets staff and AI work from the same current files instead of a separate dataset. The 'Nasuni File Data Platform' ties live access, search, and governance together, while AI Activate uses the Model Context Protocol, an open way for AI systems to reach business data, to connect compatible tools to operational files.

Resilio 6.0 uses peer-to-peer transfer to send governed files to edge locations on standard hardware at rates up to 200 Gbps so that remote teams can work with shared data at local speed. 'DryvIQ' adds content analysis that can spot sensitive information and sort files by value or risk, giving both search and AI cleaner material to work from.

For brands, this turns [unstructured file stores](https://www.trendhunter.com/trends/aipowered-data-analysis) into something closer to a working AI layer than a passive archive that needs copying and permission rebuilds. Enterprise software rivals now face a clearer buyer expectation: [live, permission-aware AI access](https://www.trendhunter.com/trends/sapio-agents) that trims token-heavy searching and avoids yet another data pipeline.

Image Credit: Nasuni

## Trend Insights (Trend Hunter)

- Score: 5.4/10
- Popularity: 29% | Activity: 33% | Freshness: 99%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Computers](https://www.trendhunter.com/computers)

## Key Themes

### Key Themes Behind This Trend

- **Live AI File Access:** Permission-aware connections between AI tools and operational files create opportunities for enterprises to reduce duplicated datasets and make automation reflect current business activity.
- **Edge Data Synchronization:** Peer-to-peer file movement at high speeds enables distributed teams to use shared information locally, reshaping expectations for remote collaboration and latency-sensitive workflows.
- **Governed Unstructured Data:** Automated content analysis that detects sensitivity, value, and risk turns scattered file repositories into cleaner inputs for enterprise search and AI systems.

### Where This Applies

- **Enterprise Software:** Software platforms can differentiate through native governance, live data connectivity, and AI-ready file access rather than relying on added pipelines or replicated stores.
- **Cloud Infrastructure:** Hybrid architectures that combine centralized controls with fast edge access open new models for serving AI workloads across locations without sacrificing compliance.
- **Data Management:** The convergence of search, classification, and access control positions unstructured file management as a strategic layer for safer and more efficient AI adoption.

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