A Neuro security guide for teams nervous about connecting their ad accounts
How Neuro connects ad accounts, the permission scopes it requests, how data is isolated, and our no-training-on-your-data policy—laid out for both advertisers and agencies.
What to check first before connecting an ad account
The moment you connect an ad account to an AI tool, advertisers and agencies tend to worry about the same things: Do we have to hand over our password? Could our data get mixed up with another advertiser’s? Can the AI change our budgets on its own? Is our data being used to train models?
This guide answers those questions by walking through the actual connection flow, not by reciting a feature list. That said, because this is a public blog, we deliberately leave out implementation details—internal infrastructure names, storage paths, specific key-management methods—that would only hand attackers or competitors an advantage.
We get delegated permissions, not your password
Neuro never collects your ad account login password. You log in directly through each platform’s official auth screen, and Neuro is granted only the permissions it needs to run your ads. Depending on the platform, this happens over OAuth or ad-API credentials, but the principle is the same: we connect to a defined set of permissions, not your whole account.
| Area | The risky way | How Neuro does it |
|---|---|---|
| Login | Hand your ad account password to an outside tool | You approve access yourself, in the platform’s official auth screen |
| Permissions | Grant broad, full-account access | Connect only the scopes the ad API requires |
| Revoking access | You have to ask the vendor to cut it off | Disconnect in Neuro and revoke the permission in the platform yourself |
So the real question for advertisers isn’t “Are we giving up our password?” It’s “Which permissions are we approving, and on whose screen?” That distinction is where secure ad account connection starts.
A public-facing view of the security flow
The diagram below is a simplified, public-facing view of Neuro’s security flow. It leaves out internal implementation names and infrastructure detail, and shows only the trust boundaries advertisers need to understand.

The key point: the AI models never hold ad account permissions directly. They can interpret what you ask and suggest what to do next, but every ad platform call and account change runs inside Neuro’s security boundary, after permission checks and an approval step.
Why this setup is safe
- We don’t collect passwords. You log in on the platform’s official screen, and Neuro is granted only the permissions it needs to run your ads.
- We don’t pass credentials to the AI models. The models get only the business context and result data they need for analysis; the credentials used to access your account stay inside Neuro’s security boundary.
- Data is isolated by workspace. Each advertiser’s data sources, reports, chats, and files are designed to be visible only to people with permission in that workspace.
- We separate reads from writes. AI can help with analysis and reporting, but anything that actually changes account state—editing a budget, modifying a campaign—is designed to require a human approval step.
- We keep an audit trail of calls. Tracing who requested which action is what keeps operational incidents from getting out of hand—and we manage logs so that sensitive credentials never land in them.
Does the AI train on your ad data?
Neuro doesn’t collect advertiser data to train its own AI models. The commercial AI API providers Neuro relies on publicly state that, by default, the inputs and outputs sent through their APIs aren’t used for model training. During a security review or contracting, it’s worth confirming this against their latest policy docs.
- OpenAI states that data sent to its API Platform is not used by default to train or improve models.
- Anthropic states that inputs and outputs from commercial products such as the Anthropic API are not used by default for model training.
- Neuro is designed never to send ad account passwords or platform permission credentials as model inputs in the first place.
Even so, each provider’s retention periods, exceptions, and custom contract terms should be reviewed against your own security policy. For enterprise security reviews especially, it’s safer to run through the DPA, sub-processors, data retention periods, and region policies with a dedicated checklist.
Frequently asked questions
Why Neuro is safe
When it comes to ad account connection security, “Where do the permissions stop?” matters more than “How smart is the AI?” Neuro is built around that standard. We don’t collect passwords, we take on only the minimum delegated permissions needed, we separate data by workspace, and any real account change goes through approval.
That’s why advertisers and agencies can evaluate Neuro with confidence. You never hand over an ad account password, the permission scope is capped at the connection step, and the AI model never holds ad account permissions directly. Ad data stays within workspace boundaries, and real changes run only after a human signs off.
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Sources
- Google Account Help: Share some access to your Google Account data with third-party apps
Official Google Help article describing how to grant and revoke only the necessary access permissions for third-party apps without sharing your password.
- OpenAI Platform Docs: Data controls in the OpenAI platform
Official OpenAI documentation stating that OpenAI API Platform data is not used by default for model training or improvement.
- Anthropic Privacy Center: Is my data used for model training?
Official Anthropic documentation stating that inputs and outputs for commercial products such as the Anthropic API are not used by default for model training.