Datasheet
AI Development Guardrails
Embed data security controls directly into the AI agents you build. Entitlement checks and response masking inside your own agent workflow, via MCP and SDKs.
Mage Data’s AI Development Guardrails let developers build authorization and response protection into agent workflows from the start, instead of filtering a finished agent from the outside. Before sensitive data is returned, the workflow checks what the actual end user is entitled to receive — not what the agent is authorized to retrieve — and prompt and response are evaluated together to catch inference attacks. Download the datasheet to see how Mage Data closes the gap between agent access and user entitlement.
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See how Mage Data can help protect your sensitive information.