AliasPath is a security company that provides a data protection layer specifically designed for agentic AI workflows and generative AI integrations. The platform operates at what the company calls the "verification boundary" — the points where AI agents, API gateways, MCP bridges, proxies, and third-party processors authenticate and exchange data. The core mechanism is realtime contextual pseudonymisation: sensitive data such as names, addresses, and other personal identifiers are replaced with realistic aliases before any information reaches a large language model (LLM), agent framework, or external processor. The original identities remain encrypted under the customer's own keys and never leave the organization's trust boundary in raw form. AliasPath also provides just-in-time rehydration, which restores real identity data only when a downstream action genuinely requires it — such as a regulatory filing, credit bureau query, or system-of-record update — and only under defined role, purpose, and session controls. The platform is positioned as an alternative or complement to traditional data loss prevention (DLP) tools, which the company argues are unable to interpret the semantic context of AI prompts. AliasPath enforces transformation and authorization policies at the point of agent action, covering automated workflows such as service desk operations and financial transactions. It also supports human-in-the-loop validation, allowing organizations to embed human verification steps into AI decision workflows. Target customers are enterprises deploying or scaling AI systems who need governance, traceability, and data minimization controls across their AI and vendor ecosystems.