Securelay Data Vault

Isolate sensitive PII in custody. Use tokens everywhere.

Replace sensitive personal data with opaque application tokens while sealing original values in field-level AES-256-GCM envelopes. Enforce role, purpose and consent policies on every reveal.

Discuss your use case Console user guide

Practical outcomeApplications keep utility while sensitive plaintext stays locked inside a governed boundary.

Encrypted Data Vault policy view showing field masking, opaque tokens and AES-256-GCM custody

What we provide

What you can do with Securelay.

Start with one workflow, connect the systems in scope, and expand only after the control has been tested.

Field-level tokenization & AES-256-GCM custody

Replace sensitive columns (email, phone, PAN, Aadhaar, account numbers) with opaque tokens while sealing each field with its own per-value data key.

Role, purpose & consent-bound reveal

Evaluate RBAC, PBAC and ABAC policies plus live consent state before returning full values or masked views (such as m****@example.test or *** *** 0148).

Tenant KMS / BYOK key isolation

Protect each tenant’s key hierarchy under your KMS boundary, supporting key rotation, instant revocation and cryptographic erasure.

Value-free cryptographic audit receipts

Record every seal, reveal, refusal and erasure in a chained, signed audit trail that can be verified offline without exposing plaintext.

Sensitive-data flow

Keep plaintext out of everyday systems.

Seal once. Use safe references across applications. Reveal only at the governed edge.

Data sources

Databases

Applications

Files & events

Privacy vaultDetect · tokenize · encrypt

Governed use

Application tokens

Controlled reveal

Verifiable receipt

Tenant key boundary Purpose + policy Linked evidence

Actual database views

Secure DB is good. Secure data is better.

Three real views from one synthetic customer path: source plaintext, application tokens, and sealed Securelay custody.

Read-only YoYo Bank source database view showing the synthetic customer row before protection, with the plaintext email highlighted — Personal details appear in the original record.

Read-only YoYo Bank application database view showing the same synthetic customer row after protected fields were replaced with Securelay opaque tokens — Selected fields become tokens. The application keeps its customer record.

Read-only Securelay custody database view showing the protected fields, matching client tokens, encrypted per-value data keys, full sealed envelopes and non-secret key metadata for the same synthetic customer record — The protected values are held separately, encrypted by field.

What these screenshots prove. Protection applies to the fields and routes you connect. Tokenization reduces exposure; it does not make every copy or remaining field anonymous.

How it works

How we put it to work.

Seal on entry

Send selected sensitive fields to the Securelay Data Vault and store the returned opaque tokens in your application database.

Evaluate on use

When a workflow or AI route needs a protected field, Securelay checks caller identity, purpose, consent and field masking rules.

Verify and erase

Export signed audit receipts for compliance reviews, or crypto-shred a subject’s vault cells when erasure is required.

Scope boundary

Protection applies to the fields and routes you integrate with the Data Vault. Unintegrated databases, client-side logs or external copies must be brought into scope or erased through their own workflows.