Security built for businesses that answer to clients
Accounting firms, law practices, agencies, and operators trust Private GPT with client data because the architecture makes the promises, not just the marketing. Here is exactly how it works.
Data residency
Your data lives in your environment, full stop.
- Every client gets a dedicated Microsoft Azure environment. Your documents, chat history, memory, and indexes are never pooled with other customers.
- You know exactly where your data physically lives, which makes client contracts, insurance questionnaires, and compliance reviews dramatically easier.
- Enterprise plans can specify data residency regions to meet contractual or regulatory requirements.
Encryption
Encrypted at rest, encrypted in transit, no exceptions.
- All stored data is encrypted at rest using Azure managed encryption.
- All traffic between your team, your environment, and model providers moves over TLS.
- Secrets and credentials are stored in managed key vaults, never in code or config files.
Access controls
The AI only knows what each person is allowed to know.
- Role based access controls scope every answer to the documents that user is permitted to see.
- Your team signs in with their existing company logins. When someone leaves the company, their AI access ends with their account.
- Audit trails record usage so you can answer the question every owner eventually asks: who is using this and for what?
No training on your data
Your data makes your AI smarter, and nobody else's.
- Model calls run through enterprise API agreements with zero data retention. Providers process requests and store nothing.
- Your prompts, documents, and outputs are never used to train any public model, contractually and architecturally.
- This is the difference between using AI and feeding it. Your competitors will never benefit from your data through us.
SOC2 friendly by design
Many of our clients sit inside someone else’s compliance perimeter: they serve regulated customers, carry cyber insurance, or sign contracts with security addendums. Private GPT is architected so those conversations go smoothly. Dedicated environments, encryption everywhere, role based access, audit trails, and zero retention model calls map cleanly onto the controls your auditors and clients ask about.
When your biggest client sends the security questionnaire, you answer with specifics instead of hoping nobody asks where the data goes. We will sit on those calls with you if it helps close the deal.
Curious what deployment looks like end to end? Read how a private AI deployment works or compare us against public tools in Private GPT vs ChatGPT.
Bring your security questions
Book a demo and ask the hard stuff. Where does the data live, who can touch it, what happens if we leave. We like those questions.