zCloak AI has released its version 1.5 white paper, introducing the "Agent Trust Protocol" (ATP) to address trust, identity, and privacy challenges in the AI-native economy. The ATP aims to bridge four major trust gaps: identity, declaration, privacy, and discovery, which hinder AI agents' access to global services. The protocol is built on a three-tier architecture, leveraging cryptographic identity systems and blockchain features to create a secure, transparent environment. The ATP Data Plane, implemented on the Internet Computer, facilitates machine-readable data storage, enabling AI agents to perform efficient semantic searches. zCloak's core services, including AI-ID and AI-Name, simplify user interactions and enhance identity verification. The white paper envisions a shift from tool-assisted to autonomous business models, where AI handles tasks while humans focus on strategic decisions. zCloak AI's infrastructure aims to make trust a fundamental component of the AI economy, with ongoing efforts to integrate privacy features and expand its ecosystem.