Runtime data security for AI

Useful context in. Unnecessary identity out.

Protect prompt, RAG, agent, and MCP data before an approved model or tool receives it. Govern any later disclosure and retain the evidence.

Securelay governsData on integrated routesPrompts · RAG · MCP · responses Your runtime governsAgent behaviorPlanning · permissions · tools · shutdown

Protected inference

Transform first. Send second.

Models receive useful placeholders; the source values stay behind the governed boundary.

Your application

Riya Sharma needs help with account 4482.

Sensitive context

AI privacy gatewayDetect · replace · record

Riya Sharma → [PERSON_1]

4482 → [ACCOUNT_1]

Approved model endpoint

OpenAIAnthropicGeminiMetaPrivate model

[PERSON_1] needs help with [ACCOUNT_1].

No source value required

Response returns through the same boundary Reveal only if policy permits

Agents, RAG, and MCP

Apply detection, de-identification, policy decisions, and evidence to the routes you integrate.

Workloads

Apps

Agents

MCP

Runtime data securityOne governed boundary

Detect De-identify Decide Record

Destinations

Models

Data

Tools

Securelay governs data on integrated routes. Your agent runtime still owns planning, permissions, tools, and shutdown.

De-identify

Replace configured sensitive values before provider egress.

Revoke

Seal a protected connection or virtual key during an incident.

Explain

Trace provider, purpose, transformations, decisions, and receipts.