Secure sensitive workloads in untrusted environments.

Encryption commonly protects stored data and data being sent. Confidential computing also reduces exposure while approved systems process prompts, model inputs, and business data. It does not make every surrounding system automatically trustworthy, so the execution environment still needs to be checked and governed.

Attestation is a check that uses evidence from a device's hardware to show whether the device or software environment matches an approved state. TeyzSec checks that evidence before protected work begins and can deny work to systems that do not pass.

TeyzSec keeps checking after startup. If the system no longer matches the approved state, configured policy can let it continue, isolate it, or start a controlled recovery. The response depends on the policy your team has set.

Federated Learning lets each organization train with data kept in its own environment. They share model updates rather than the underlying records. This reduces raw-data movement, but the updates and participating systems still require appropriate privacy and security controls.

For selected calculations, Fully Homomorphic Encryption (FHE) allows data to remain encrypted while it is processed. It adds substantial computing overhead, so it is best for highly sensitive analysis that does not need an immediate response.

Yes. TeyzSec checks hardware-backed evidence from supported Android devices on the server, then returns a trust decision that an application can use before allowing a sensitive workflow.