v1.4 · Secure Vault for AI Data Protection

The security layer everyAI application needs.

Send only protected data to AI. Securelytix automatically tokenizes sensitive information before every AI request and securely restores it only for authorized users keeping customer data private without disrupting your existing workflows.

Read Documentation

agent/handler.py

Protected

from securelytix import Vault

vault = Vault(api_key="stk_live_xxx")

payload = {
    "email": "john@example.com",
    "phone": "+91xxxxxxxx"
}

protected = vault.tokenize(payload)

response = llm.generate(protected)

final = vault.detokenize(response)

TRUSTED BY TEAMS BUILDING SECURE AI APPLICATIONS

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CONTROL PLANE

Everything you need to protectsensitive AI data.

Tokenization

Replace sensitive values like names, emails, phone numbers and IDs with secure tokens.

Detokenization

Restore original values only after authorization and policy validation.

Secure Vault

Store sensitive mappings securely with encryption and controlled access.

API Integration

Simple REST APIs and SDKs for Python and modern AI frameworks.

Privacy Protection

Prevent sensitive information from being exposed to LLM providers.

Audit Logs

Track every tokenize and detokenize request for compliance and debugging.

HOW IT WORKS

Secure every AI request in three simple steps

Send only protected data to AI models. Sensitive information stays secure inside Securelytix Vault and is restored only when needed.

1
Send Sensitive Data
Application sends PII to Securelytix Vault.
2
Tokenize & Process
Vault replaces sensitive values with secure tokens before the AI request.
3
Restore Securely
Vault detokenizes approved values and returns the final response.

Secure every AI interaction from day one

Tokenize sensitive information before every AI request and detokenize only when authorized.

1 workspace
1 API key
Docker + Kubernetes
Live requests + alerts