AI CONNECTOR
Ask in plain language. Get the insight, the savings, and the next step.
The AI connector links the LLM you already use to the Diskover catalog. Ask where storage is overspent, which shares hold cold data, or what a department costs, and get an answer with a recommended action. Diskover tags the matching files, and a person approves before anything runs.
How it works.
From basic cleanup to strategic planning, you simply type what you need, and the AI connector uses your metadata to recommend next steps—like finding duplicates, forecasting growth, and cutting costs—while Diskover can auto-tag the matching files and folders to speed up cleanup, governance, and workflows.
➞ Which files haven’t been touched in 12 months?
➞ How much would we save if we archived cold data to Glacier?
➞ Create a cost report by department for Q2.
➞ Tag files older than 2 years across all shares.
➞ Estimate next year’s storage needs with 20% growth.
Why it matters.
Unstructured data is growing fast, and traditional tools can’t keep up. The AI connector helps analyze, interpret, and guide decisions across your entire data estate—, o teams get clear answers and can take user-approved actions.
➞ Where are we overspending on storage right now?
➞ Show me old data that’s taking up premium storage.
➞ Tag sensitive data in home directories and flag for review.
➞ What happens to costs if we tier 20% of cold data?

Built for your data universe.
The AI connector doesn’t just give you answers; it fits into your actual workflow. Whether you’re on ChatGPT, on mobile, or running complex infrastructure, it works where you do, with the security and insights you need to stay in control.
