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AI Data Use Index

Check before company data goes in

Compare 63 AI products, identify the data in scope, and leave with an evidence-backed review receipt, not a vague safety score.

Takes about 2 minutes · 63 products · Public disclosures only

Browse the full index →

You'll get a summary like this

3 of 5 selected tools publicly state some training use.

Sample output from a five-tool selection. Yours updates as you pick products.

Uses data 2User-controlled 1No training 1Unclear 1
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1 · Pick your products

63 covered

Nothing you select or classify is stored.

2 · What data could reach these products?

Select the highest-sensitivity classes in the intended workflow. Include uploads, connected sources, retrieved passages, and prompts.

You'll get a summary like this

3 of 5 selected tools publicly state some training use.

Sample output from a five-tool selection. Yours updates as you pick products.

Uses data 2User-controlled 1No training 1Unclear 1
Copy summaryShare

You'll get a summary like this

3 of 5 selected tools publicly state some training use.

Sample output from a five-tool selection. Yours updates as you pick products.

Uses data 2User-controlled 1No training 1Unclear 1
Copy summaryShare

Sources: public vendor disclosures indexed by PAI. Methodology · Corrections

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Leave an email if you want notice when email alerts ship. Until then, the monthly editions below are the public record.

From disclosure to approval

Keep six pieces of evidence

A no-training statement answers one question. Use this checklist before non-public data, connected systems, or automated actions enter the workflow.

  1. Name the exact product and edition

    Consumer, business, enterprise, free, and paid API paths can have different terms. Record the actual account and workspace used.

  2. Map every data path

    Include prompts, uploads, connected sources, retrieved passages, outputs, feedback, logs, support access, plugins, and downstream actions.

  3. Verify training and improvement settings

    Check the default, organisation controls, user controls, feedback exceptions, and whether settings apply prospectively only.

  4. Confirm retention and deletion

    Ask what is stored, where, for how long, who can delete it, and whether backups, abuse monitoring, caches, or stateful features differ.

  5. Confirm location and subprocessors

    Record processing and storage regions, cross-region routing, model providers, support locations, subprocessors, and contract change notices.

  6. Set access, logging, and human gates

    Use least privilege, approved connectors, auditable events, incident ownership, tested redaction, and human approval before consequential actions.

This is a decision aid, not a legal opinion or product certification. Public terms change; verify the linked source and your contract before approval.

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