Introduction
In today's rapidly evolving AI-native economy, trust is the core foundation connecting humans, AI, and economic activities. When AI avatars can represent individuals as digital doppelgangers, enterprise-deployed intelligent agents, or independently operating autonomous systems, establishing identities, verifying claims, and achieving legally binding commitments have become key bottlenecks hindering industry development. Recently, zCloak.AI officially released its 1.5 white paper, proposing a complete "Agent Trust Protocol" (ATP) aimed at addressing the missing trust, identity, and privacy in this hybrid economy era and the future AI-native economy.
Trust Gap: A Growth Shackle in the AI Era
Looking back at the history of the internet, while Web 1.0 was open, it lacked native identity and trust mechanisms. This led to the rise of closed platforms like Amazon and Alibaba, which provided credit endorsements, but also created data silos and algorithmic monopolies. Today, the AI-native economy stands at a similar crossroads. AI agents need permissionless access to global services and resources, but they face four severe "trust gaps":
First, there's the identity gap. An AI avatar claiming to represent a Fortune 500 company, in the absence of a unified verification system, is visually indistinguishable from a fake account created by a malicious attacker. Second, there's the assertion gap. Currently, the service capabilities and qualifications provided by AI are mostly in unstructured text form, difficult to verify programmatically, making it hard to distinguish between genuine and fake. Third, there's the privacy gap. When handling sensitive data such as medical and financial information, participants often face a dilemma: "either expose all data in exchange for trust, or remain silent but cannot be verified." Finally, there's the discovery gap. Existing internet content is designed for human vision (HTML/CSS), making it difficult for AI to efficiently parse and perform complex semantic searches.
These gaps not only slow down the development of the AI economy, but also fundamentally limit its application potential in high-value, high-trust scenarios. zCloak.AI's ATP protocol was created precisely to break these shackles.
zCloak ATP Protocol: Defining Trust Rules for the AI Era
The ATP protocol proposed by zCloak.AI is not a closed, private service, but rather an open standard specification. It draws inspiration from event-driven social architectures like Nostr, cryptographic identity systems, and the persistence features of blockchain, achieving the decoupling and reconstruction of trust through a three-layer architecture: the protocol layer defines the rules, the infrastructure layer provides data storage, and the service layer unlocks application potential.
The ATP protocol is supported by four core technological pillars, which together create a secure, transparent, and privacy-preserving interactive environment:
ATP Data Plane Infrastructure: A "Data Plane" Designed for Machines
To enable AIs to efficiently discover and collaborate with each other, zCloak.AI built the ATP Data Plane. This is a permissionless, globally accessible infrastructure layer, currently implemented based on the Internet Computer (ICP). Unlike web pages designed for humans, the Data Plane stores structured, machine-readable events.
This design bridges the "discovery gap." AI agents no longer need to navigate cluttered web pages like humans; instead, they can directly perform semantic searches, contextual retrieval, and complex multi-attribute queries through standardized interfaces. This "machine-native" infrastructure allows trusted data to flow freely throughout the entire AI ecosystem, much like electricity.
zCloak's core service: Making complex technologies invisible.
The zCloak.AI white paper details a series of core services designed to simplify the user experience:
zCloak Keychain: zCloak Keychain is the invisible security engine for the AI identity economy, enabling trusted signatures for every login without requiring users to understand or manage their private keys.
AI-ID: AI-ID is a unified identity portal for individuals, enterprises, and AI Agents in the AI-native economy, and is the foundation for participating in value creation, collaboration, and settlement.
AI-Name: AI-Name is the identity portal and brand asset in the AI era, a digital address that can be understood by humans, recognized by systems, and has long-term value.
AI-Profile: AI-Profile is a value representation layer of identity, bringing together capabilities, reputation, and credible information into a digital image that can be trusted and traded.
AI Avatars: AI Avatars are large-scale executors of identity, enabling individuals and businesses to remain online, provide continuous services, and generate continuous revenue through AI.
AgentPages: AgentPages is the discovery and distribution layer of the AI-native economy, enabling identities, capabilities, and services to be searched, understood, and matched just like content.
Trust Portal: Trust Portal is the trust gateway in human-AI collaboration, making authorization, contract signing, and compliance decisions instant, transparent, and auditable.
MCP Server: zCloak MCP Server is a connector for AI platforms to enter the AI identity economy, enabling mainstream large models to natively connect to verifiable identity and trust networks.
Paradigm Shift: From "Tool-Assisted" to "Autonomous Business"
zCloak.AI envisions a fundamental paradigm shift in future business models. The traditional process is "tools serve humans, and humans complete the work"; however, empowered by the ATP protocol, it will transform into "AI completes the work, and humans make strategic decisions and key authorizations."
The white paper showcases several highly inspiring application scenarios. For example, in the freelance field, an AI avatar of a designer can automatically display portfolios, verify client credit, negotiate prices, and generate contracts, allowing the designer to start work with just a tap on their phone. In enterprise supply chain management, procurement agents of banks or large institutions can complete the qualification verification of hundreds of suppliers within minutes, with all industry certifications and compliance records instantly verified through encrypted proofs, eliminating the need for weeks of manual review.
Conclusion: Building a Trustworthy AI Future
zCloak.AI's white paper is not only a product roadmap, but also a declaration about the future digital society. As AI gradually evolves from an "assistant" to an "economic agent," the construction of trust infrastructure has become imperative.
Through the ATP protocol, ATP Data Plane Infrastructure, and zCloak core services, zCloak.AI is building an "invisible infrastructure" that allows every participant in the hybrid economy—whether human, enterprise, or autonomous AI—to be discovered, verified, and trusted. In this new era, trust will no longer be an expensive luxury, but will be as natural as air.
The zCloak.AI team stated that the basic infrastructure for the protocol and data plane has been completed, and the focus in the future will be on promoting the integration of privacy infrastructure and expanding the global business ecosystem. With the participation of more developers and platforms, a trustworthy, identity-protected, and privacy-preserving AI-native economy is rapidly approaching.
Take immediate action: Seize the digital identity AI-Name in the AI-native economy
zCloak.AI product experience is now open in Phase 1! Register your exclusive AI-Name now to be among the first to establish your identity in the AI-native economy. AI-Name resources are scarce, and free registration is available for a limited time. Act now, first come, first served.
Register your AI-Name now: https://zcloak.ai/
Learn more: https://zcloak-hub.gitbook.io/zcloak-ai/start-here/whitepaper
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