AI Usage at a Glance
May 10, 2022
OtherPractice documented: Nasuni uses behavioral analytics to watch for signs that ransomware is attacking a company's file storage system, and can automatically quarantine threats, block attacking sources, and alert IT teams in real time. This feature launched in May 2022 and has since been integrated with AI-powered security tools from Microsoft Sentinel — including Azure OpenAI models for attack context — and CrowdStrike's Falcon platform.
Practice DocumentedView practice →Feb 21, 2024
Data AnalysisPractice documented: Nasuni offers File IQ Premium, a paid analytics dashboard that scans how enterprise files are used, who accesses them, and how storage is growing, then produces dashboards and real-time alerts to help IT teams manage data more efficiently. The product also includes tools to prepare file metadata for use by machine learning and AI systems. Launched as Nasuni IQ in February 2024 and expanded into File IQ Premium in July 2025.
Practice DocumentedView practice →Apr 16, 2024
ProductivityPractice documented: Nasuni provides guidance and technical tools that allow its customers to build their own AI chatbots — using Microsoft Copilot Studio — that can answer questions based on files the company already stores in Nasuni. Nasuni also built its own internal chatbot called "Ask Nasuni," which runs inside Microsoft Teams and allows employees to ask questions answered by the company's own documents. This guidance was released in April 2024.
Practice DocumentedView practice →Apr 18, 2024
ProductivityNew evidence: Nasuni gets into bed with Microsoft’s Copilot
Evidence AddedView practice →May 1, 2024
ProductivityNew evidence: Backup vendors embrace GenAI, but features remain immature
Evidence AddedView practice →May 20, 2024
ProductivityPractice documented: Nasuni integrated its file storage platform with Microsoft 365 Copilot in September 2024, allowing employees to search through company files using plain conversational language — for example, asking 'find the Q3 proposal for the Chicago project' — rather than navigating folder structures or typing exact file names. The integration makes Nasuni-managed files searchable through Microsoft Search and usable by Microsoft 365 Copilot's AI assistant.
Practice DocumentedView practice →May 20, 2024
OtherPractice documented: Nasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.
Practice DocumentedView practice →Aug 19, 2024
OtherNew evidence: Sentinel, OpenAI, and Rapid Ransomware Recovery
Evidence AddedView practice →Aug 21, 2024
ProductivityNew evidence: Unlocking the Power of Nasuni Data with Microsoft Copilot Studio
Evidence AddedView practice →Sep 24, 2024
ProductivityNew evidence: Nasuni Integrates Microsoft 365 Copilot Bringing AI Transformation to Unstructured Data
Evidence AddedView practice →Sep 26, 2024
ProductivityNew evidence: Nasuni announces new Microsoft 365 Copilot integration
Evidence AddedView practice →Feb 13, 2025
Data AnalysisNew evidence: Nasuni Reports Banner Year in FY 2024
Evidence AddedView practice →Mar 11, 2025
OtherNew evidence: Nasuni and CrowdStrike Partner to Fortify Cloud Data Protection for Global Enterprises
Evidence AddedView practice →Mar 18, 2025
OtherNew evidence: Nasuni Integrates With CrowdStrike Falcon Security Platform
Evidence AddedView practice →Apr 16, 2025
ProductivityPractice documented: Nasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.
Practice DocumentedView practice →May 1, 2025
ProductivityNew evidence: Unlocking AI-Powered File Search with Nasuni and Microsoft's File Share Graph Connector
Evidence AddedView practice →Jul 29, 2025
Data AnalysisNew evidence: Nasuni Launches File IQ and Ops IQ for Smarter Data Ops, AI
Evidence AddedView practice →Jul 29, 2025
Data AnalysisNew evidence: Nasuni Introduces File IQ Premium and Ops IQ: A Powerful Intelligence Layer for Global Enterprises
Evidence AddedView practice →Sep 9, 2025
OtherPractice documented: Nasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.
Practice DocumentedView practice →Oct 14, 2025
ProductivityNew evidence: Nasuni Appoints Nick Burling to Chief Product Officer as Company Advances to Next Phase of Unstructured Data Innovation
Evidence AddedView practice →Oct 24, 2025
OtherNew evidence: Nasuni eyes agentic data access, vector services in AI push
Evidence AddedView practice →Oct 24, 2025
ProductivityNew evidence: Nasuni eyes agentic data access, vector services in AI push
Evidence AddedView practice →Feb 6, 2026
ProductivityNew evidence: Nasuni Release Radar: Platform Updates in Data Services and Next-Gen AI Solutions
Evidence AddedView practice →Feb 24, 2026
OtherNew evidence: Nasuni Scales Hyderabad R&D to Strengthen its Enterprise File Data Platform for Teams and AI Read more At: https://aninews.in/news/business/nasuni-scales-hyderabad-rampd-to-strengthen-its-enterprise-file-data-platform-for-teams-and-ai20260224171238/
Evidence AddedView practice →Apr 7, 2026
ProductivityNew evidence: Nasuni targets AI readiness with platform revamp
Evidence AddedView practice →Apr 7, 2026
ProductivityNew evidence: Nasuni Unveils Expanded Strategy, Brand, and Platform Enhancements for File Data Activation to Help Maximize AI Investments and Productivity
Evidence AddedView practice →Nasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.
Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI agents connect to and interact with external tools and data sources. Nasuni released a Desktop MCP Server and a Management MCP Server through its Nasuni Labs GitHub repository in October 2025, allowing customers to use AI agents to interact with files and administer Nasuni infrastructure using natural language. In April 2026, Nasuni announced AI Activate — a formal product extending the Nasuni platform to AI agents and large language models with the same permission-aware access controls that human users receive, eliminating the need for separate data pipelines or duplicate datasets. AI Activate entered an invite-only preview in Q2 2026 with general availability scheduled for Q4 2026. Validated use cases cited by Nasuni include document processing for legal and compliance workflows, pharmaceutical regulatory file management, and project file organization for engineering firms.
Nasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.
Nasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.
Nasuni uses behavioral analytics to watch for signs that ransomware is attacking a company's file storage system, and can automatically quarantine threats, block attacking sources, and alert IT teams in real time. This feature launched in May 2022 and has since been integrated with AI-powered security tools from Microsoft Sentinel — including Azure OpenAI models for attack context — and CrowdStrike's Falcon platform.
Nasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.
Nasuni provides guidance and technical tools that allow its customers to build their own AI chatbots — using Microsoft Copilot Studio — that can answer questions based on files the company already stores in Nasuni. Nasuni also built its own internal chatbot called "Ask Nasuni," which runs inside Microsoft Teams and allows employees to ask questions answered by the company's own documents. This guidance was released in April 2024.
Nasuni integrated its file storage platform with Microsoft 365 Copilot in September 2024, allowing employees to search through company files using plain conversational language — for example, asking 'find the Q3 proposal for the Chicago project' — rather than navigating folder structures or typing exact file names. The integration makes Nasuni-managed files searchable through Microsoft Search and usable by Microsoft 365 Copilot's AI assistant.
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Nasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.
Nasuni's Chief Innovation Officer disclosed in a May 2024 interview that the company tracks every storage input/output (I/O) operation across its platform and intends to feed this telemetry into large language models to generate recommendations for optimizing how and where data is placed across a customer's multiple storage locations. This is an example of AIOps — the use of AI to automate and improve IT infrastructure management. A companion feature, Ops IQ (launched July 2025), provides human-readable dashboards of the same operational data as an interim step. Nasuni's February 2026 announcement expanding its Hyderabad R&D center listed AI-driven operations and predictive analytics as explicit focus areas, suggesting the full LLM-based optimization capability remains under active development.
Nasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.
Nasuni's Field CTO John Capello disclosed in an October 2025 interview that the company tracks storage input/output (I/O) operations across its platform and plans to integrate this telemetry into large language models to generate recommendations for optimizing how and where data is placed. A companion product, Ops IQ (launched July 2025), provides human-readable dashboards of the same operational data as an interim step. Nasuni's February 2026 Hyderabad R&D center expansion announcement listed predictive analytics and AI-driven operations as explicit focus areas for the expanded team, confirming this capability remains under active development. The company's October 2025 roadmap statement describes plans to integrate this capability natively within the Nasuni Portal for analyzing and acting on telemetry from customer infrastructure.
