AI Data Breaches Start at Runtime.Deploy AI security at runtime-Vaultkey in under 5 minutes.

Connect to any LLM. Start securing data with zero application changes. It works as a drop-in proxy, so there's no need for schema changes, data migration, or platform lock-in.

Read Documentation

agent/handler.py

Protected

from securelytix import VaultKey

vault_key = VaultKey(api_key="stk_live_xxx")

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

protected = vault_key.tokenize(payload)

response = llm.generate(protected)

final = vault_key.detokenize(response)

WORKS WITH THE STACKS YOU ALREADY USE

CONTROL PLANE

Protect sensitive data withoutchanging your architecture.

Tokenization

Replace sensitive data with secure tokens while preserving application workflows.

Controlled Data Access

Reveal original values only after authorization, policy checks, and audit validation.

Encrypted Data VaultKey

Store sensitive mappings securely with encryption, access controls, and key management.

Developer APIs & SDKs

Integrate with REST APIs, SDKs, and modern frameworks in minutes.

Policy Enforcement

Protect sensitive information across applications, APIs, logs, and AI workflows.

Audit & Compliance

Track every access, tokenization, and data retrieval event with complete audit trails.

HOW IT WORKS

Protect sensitive data in three simple steps

Tokenize sensitive information, keep it secure inside the Securelytix VaultKey, and restore it only for authorized requests.

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

Secure sensitive data from day one

Deploy tokenization, secure storage, and controlled data access in minutes.

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