AI data security for custom software teams

Private deployment, access control and redaction beat "paste it into a public chatbot". Security is part of the software design, not a slide after go-live.

The default leak is copy-paste

Staff already paste contracts and customer lists into public tools because the internal search is worse. Blocking the website without giving them a controlled path just moves the paste to a phone.

Design the environment first

Decide where prompts, logs and retrieved chunks live. Private or VPC deploy is one option. Tenant isolation, role filters on retrieval and retention on chat logs are the others. A model name does not replace those choices.

Same rules as the back office

If a role cannot export a customer file in the admin, the model must not return it either. AI features inherit the permission matrix. They do not get a side door.

What we put in a scope

Data classes, deploy target, who may query, what is redacted, and how long logs stay. That is software work. It is not a GPU invoice.

Request a scope

See the service Contact