How AliasPath™ Governs Data Across GenAI and Agentic AI Workflows
AliasPath™ is a low‑latency, horizontally scalable proxy and API layer that pseudonymises sensitive payloads at your verification boundary, then rehydrates server‑side under your encryption keys.
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Verification Boundary: Where Identity Meets Access Control
Contextual aliases, not redaction
You hold the keys Your mapping
Designed for agents that act, not just models that chat
Easy to Deploy with an option to fit all business types
Most controls stop at the API gateway. AliasPath™ operates where identity meets access: the verification boundary. Every request, human or machine, must prove who it is and what it is allowed to touch before data is transformed or rehydrated.
We bind access policies to devices (via network identity), services and roles, not just to URLs. This aligns with Zero Trust principles while keeping latency within single‑digit milliseconds
Redaction removes value. Tokenisation breaks reasoning. AliasPath™ uses contextual, human‑readable aliases sourced from an encrypted mapping database: Ron → Reg, Deirdre → Jane; realistic addresses → realistic surrogates in the same region.
LLMs and agents see coherent, natural data: a person with an address, a policy with dependants, a claimant with a history. Your processors can still underwrite, model, or triage, without ever holding the raw identities.
We bind access policies to devices (via network identity), services and roles, not just to URLs. This aligns with Zero Trust principles while keeping latency within single‑digit milliseconds
Alias mappings (real ↔ alias) are stored in a dedicated database, encrypted with a key specified and controlled by you. We operate the engine; you own the cryptographic authority. Even if our infrastructure were compromised, an attacker would see only encrypted mappings and aliases. Without your key, there is no path back to the real data.
Agentic systems orchestrate tools, MCP servers and APIs to take actions on behalf of users. AliasPath™ sits between agents and your systems:
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Aliases flow through planning, reasoning, and intermediate tool calls.
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When a final action requires a real identity, booking an appointment, updating a core banking system, filing a report, AliasPath™ rehydrates only the required fields, server‑side, under strict policy.
This reduces the amount of raw identity exposed across the agent’s call graph while preserving end‑to‑end utility.
AliasPath™ is deployed as stateless containers at the edge of your environment, scaling horizontally with demand. Current benchmarks demonstrate low additional latency per call, with linear scaling through additional nodes. Performance targets are validated with you during POC against your real traffic patterns.
We support proxy, API and web‑workflow modes to align with how your teams already deploy and govern AI services.
We support proxy, API and web‑workflow modes to align with how your teams already deploy and govern AI services.
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​AliasPath™ is deployed as stateless containers at the edge of your environment, scaling horizontally with demand. Current benchmarks demonstrate low additional latency per call, with linear scaling through additional nodes. Performance targets are validated with you during POC against your real traffic patterns.​​​
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