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AI DATA CONTROL FOR GENAI AND AGENTS
AI data control plane for agentic AI.
AliasPath™ prevents original sensitive values from entering AI workflows by replacing them with context-preserving surrogates, then restoring only the fields an authorised downstream action requires.
The originals remain inside your controlled
environment; the workflow retains the context it needs to work.
THE CONTROL GAP
AI security is learning to govern agents. The data still travels.
Identity controls establish who or what is making a request. MCP and gateway controls govern which tools it may call. Runtime controls watch how it behaves.
But those controls do not, by themselves, determine whether an external model needs the original client name, account number, health record or confidential deal detail carried in the request.
AliasPath reduces that exposure before the AI service receives it.
A COMPLETE CONTROL MODEL
Secure the actor, the action and the data.
AliasPath™ compliments identity, tool governance and runtime controls by specialising in the original sensitive values carried through the workflow.
HOW IT WORKS
Protect the original values before AI uses them.
WHY CONTEXTUL ALIASES
Redaction removes information. Contextual transformation preserves the job.
BUILT FOR WHERE AI IS GOING
From today’s prompts to tomorrow’s agent handoffs.
AI workflows increasingly move through APIs, tool calls and chains of agents. Every handoff can carry more original data than the next system needs.
AliasPath is designed to apply the same transformation principle at those data boundaries: identity and access controls determine who may act; AliasPath governs which original sensitive values enter the action
WHY ALIASPATH™
A specialised data control within the wider AI security stack.
WHO IS THIS FOR
Who needs AliasPath™
If your organisation is adopting GenAI, Copilot, or autonomous AI agents and you need to prevent sensitive data from leaving your trust boundary, AliasPath was built for your security team.
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