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DPDP, GDPR and AI governance

Let AI work. Keep data private.

Consent management, privacy-rights workflows and runtime AI governance for your DPDP, GDPR and EU AI Act programs. Protect sensitive data on connected routes with access controls and audit evidence.

Fail-closed controls Value-free evidence BYOC or self-hosted
Applications, AI agents and MCP tools connect to Securelay to protect selected data, check access and consent, and record decisions. Outputs include protected context, controlled reveal and audit receipts.
Configured controls for the routes and fields you connect.Open full image
Securelay services

What do you need to solve?

Choose a starting point. We help connect the right controls to your existing work.

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SecureDocs

A shared document workspace for your invited team. Protect selected details before using connected AI document features.

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SecureDocs in action

Your documents. A protected view for AI.

Use AI to work with documents while protecting selected personal details. Compare both views below.

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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.

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.

Inside the Securelay console

Inspect what your AI workflow receives.

Review the original input, the protected view and any permitted recovery of data in the Securelay console.

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Securelay AI Redaction console with original, de-identified and rehydrated stages
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Field notes

Turn requirements into practical controls.

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Independent analysis, grounded in primary sources. Official imagery is editorial, not an endorsement.

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