The Breach doesn’t start with AI. It starts with trust.
Every calendar sync, every summarized meeting note, and every API call to an LLM creates a tunnel through your firewall. Traditional DLP is blind to the semantic context of these prompts. You aren’t just adopting AI; you are inadvertently exporting your intellectual property
Traditional controls focus on stopping bad traffic. They rarely question why raw identity leaves your environment in the first place. AliasPath™ changes that assumption.
What AliasPath™ does
Total Control at the Edge
Contextual pseudonymisation
Replace names, addresses and other identifiers with realistic aliases, preserving semantic meaning for AI and processors while keeping real identities inside your trust boundary.
Verification-boundary control
Enforce transformation at the points that matter: proxies, API gateways, MCP bridges, agent tool calls, and even human‑in‑the‑loop workflows, anywhere a request proves who it is and what it wants to access.
Just-in-time rehydration
Rehydrate only when a real‑world action truly requires legal identity, a credit bureau call, regulatory filing, or final system of record update, under role, purpose, and session controls.
Built for GenAI and Agentic AI – relevant to every processor.
Most security tools focus on preventing data leakage from chatbots. AliasPath™ goes further, it enforces policy at the verification boundary where AI agents take action. Whether it’s an automated service desk reset or a financial transaction, AliasPath™ ensures every agent-driven operation is authorized, traceable, and governed with human-in-the-loop validation.
Key benefits:
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Prevent unauthorized agent actions before they impact your business
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Embed human verification into AI decision workflows
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Inspect, pseudonymize, or enrich agent communications in real-time
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Scale enterprise AI confidently from pilot to production
See how this applies to your vendor ecosystem
