QNSI

Platform capability

Encrypted Storage & Search

Combine governed object storage, retention and replication controls with full-text and vector-search contracts designed for confidential data workflows.

Buyer outcome

Keep data lifecycle, search, tenant isolation, and cryptographic policy in one accountable architecture instead of bolting search onto an unrelated storage boundary.

Source-backed · cryptographic execution boundary not verified

For Data platform · Application architecture · AI engineering · Security engineering

Evidence boundary

Storage, upload, version, retention, replication, classification, indexing, full-text, and vector-search routes exist in source and portal surfaces. End-to-end searchable-encryption guarantees, plaintext boundaries, and genuine PQC envelope execution remain NOT VERIFIED.

Capability map

What encrypted data covers

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

Tenant-scoped object and document storage
Multipart upload, folders, versions, download, and lifecycle controls
Retention, replication, classification, pipeline, and hot-tier surfaces
Full-text and vector-search contracts
Search indexing, isolation, analytics, health, and synonym management
Audit and policy integration across eligible data operations

Operating model

How the capability fits into an accountable workflow

01

Classify the workload

Define sensitivity, retention, residency, search, recovery, and access requirements.

02

Store and govern

Upload through tenant-scoped APIs and apply eligible policy, version, classification, and retention controls.

03

Index

Build the selected full-text or vector index while recording the data and cryptographic boundary being asserted.

04

Search and evidence

Authorize queries, preserve audit context, and validate the deployed plaintext and key-handling boundary.

Integration & assurance

Connect the capability, then verify the exact boundary

Integration surfaces

QNSI SDKsREST APIAI orchestratorVaultAudit service

Frequently asked questions

Encrypted Data questions

Does encrypted search mean the service can never see plaintext?

Not automatically. The answer depends on the selected index, client, enclave, key-establishment, query, and deployment path. QNSI documents the target architecture, but end-to-end plaintext exclusion must be proven for the exact deployment.

What search modes are represented in the platform?

The source includes full-text and vector-search services plus indexing, isolation, health, analytics, and synonym-management surfaces. Availability and cryptographic guarantees still depend on the deployed route and evidence.

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.