QNSI

Platform capability

AI Security & Confidential Compute

Protect model, prompt, agent, training, inference, and event-intelligence workflows with explicit identity, policy, provenance, enclave, and operator-approval boundaries.

Buyer outcome

Give AI teams an operational security layer that connects model governance and runtime signals to existing cryptographic, identity, audit, and response controls.

Source-backed · production attestation not verified

For Chief AI Officer · CISO · ML platform · AI governance

Evidence boundary

AI orchestration, model registry, prompt-injection, bias, governance, correlation, root-cause, and remediation-proposal routes exist in source. Production enclave attestation, model behavior, detection effectiveness, and end-to-end automated enforcement remain NOT VERIFIED. Remediation proposals do not bypass authorization or operator approval.

Capability map

What ai security covers

Each item is a source-backed or deployment-bounded capability, not an implied certification or universal runtime guarantee.

Model registry and provenance contracts
Prompt-injection pattern, configuration, and incident surfaces
Bias monitoring, drift, cost, scaling, error, and compliance views
Durable anomaly detection, correlation, and root-cause context
Approval-gated remediation proposals
Confidential-compute architecture across supported enclave families

Operating model

How the capability fits into an accountable workflow

01

Register and govern

Record model identity, provenance, owner, policy, permitted providers, and deployment intent.

02

Authorize the workload

Bind users, agents, models, data, tools, and enclave requirements to an explicit tenant policy.

03

Observe and correlate

Retain eligible events for anomaly detection, prompt-security signals, cross-service correlation, and root-cause context.

04

Propose and approve

Generate a remediation proposal, then apply normal authorization and configured operator approval before execution.

Integration & assurance

Connect the capability, then verify the exact boundary

Integration surfaces

Intel SGX and TDXAMD SEV-SNPAWS Nitro EnclavesNVIDIA Confidential ComputingARM TrustZone and CCA/RMEIBM Secure ExecutionMCP

Frequently asked questions

AI Security questions

Does QNSI automatically remediate AI incidents without approval?

No. The event-intelligence design produces remediation proposals. It does not bypass tenant authorization or configured operator-approval policy. Any automated execution claim requires evidence for the exact rule, permission, and deployment.

Does listing an enclave prove that a workload ran inside it?

No. An enclave integration or architecture option is not runtime attestation. A deployment claim requires a valid attestation bound to the workload, code identity, configuration, time, and verification policy.

Next step

Evaluate the capability against your actual environment

Start with the public evidence, then scope the exact services, integrations, custody, deployment, and assurance required. QNSI will not convert source presence into a production claim without evidence.