Security

Enterprise security for AI platforms: our approach

Partython TeamFebruary 1, 20266 min read

Strict data isolation, strong encryption, and a clear path to formal certification — how security is built into every layer of Partython.

AI agents handle real customer conversations — names, orders, questions, sometimes payment details. That makes security a feature, not an afterthought. Here is how we approach it.

The first layer is isolation. Every business on Partython has its data fenced off at the database level, so one customer's conversations can never appear in another's. This is enforced by the database itself, not just by application code, which means a bug in one feature cannot leak data across businesses.

The second layer is encryption. Your data is encrypted while it is stored and while it travels between systems, using current industry-standard methods. If a disk or a network connection were ever compromised, the contents would still be unreadable.

The third layer is access control. Team members get only the permissions their role needs, sensitive actions are logged, and credentials for connected services are stored encrypted and never shown in plain text.

We are also pursuing formal certification. A SOC 2 Type II audit — an independent review of how we handle security over time — is in progress, and the platform is built to meet GDPR requirements for handling personal data.

Security is never "finished", and we will not pretend otherwise. What we can say is that isolation, encryption, and least-privilege access are designed into the platform from the ground up, not bolted on later.

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