Secure AI infrastructure
We secure AI workloads by verifying every request, giving each component only the access it needs, and controlling where AI requests can go. The same principles run through our own products.
Last updated
The principles
- Verify every request
- No request is trusted because of where it comes from. Each one is checked.
- Least privilege
- Each person, service and AI component gets only the access it needs for its task.
- Hardware attestation
- Devices prove in hardware that they are genuine before they are trusted.
- Control over where AI requests can go
- Requests to AI models go only where they are allowed to go.
- Encryption
- [TO CONFIRM: encryption in transit and at rest]
- Logging and audit
- What systems do is recorded, so it can be reviewed afterwards.
- Data location choices
- [TO CONFIRM: where data can be processed and stored]
How this shows up in our products
- Prime Edge AI. Every device attests itself in hardware, no key ships in the app, and access tokens expire hourly and carry no identity.
- Prime Assist. [TO CONFIRM: redaction and retention settings]
What we offer clients
- Security reviews of AI systems you already run.
- Secure architecture design for AI you are about to build.
- Implementation of the design, by our engineers.