Trust, Identity, and Privacy Layer
for the AI-Native Economy

Why the AI Economy Needs a New Foundation
The AI-Native Economy is Here — But Infrastructure Isn't
Identity Gap

Who is behind the screen? Agents need proof of legitimate enterprise identity.
Accountability Gap

Inability to prove ownership and authenticity of digital assets and AI-generated content.
Privacy Gap

Sharing data requires exposing sensitive information without privacy guarantees.
Discovery Gap

No efficient mechanism to discover and verify trusted entities in the AI economy.
Powered by the
Agent Trust Protocol (ATP)
The baseline for trustworthy agents and verifiable workflows.
Identity
Establish who is acting—humans, enterprises, and agents.
Accountability
Ensure actions and commitments are attributable, auditable, and non-repudiable.
Privacy
Prove what's needed without full exposure through selective disclosure.
Security
Protect integrity and enforce access control for high-stakes workflows.
Rebuilding Trust in 3 Layers



LAYER [ 1 ]:
Agent Trust Protocol
Protocol — Defines Trust Rules
Learn MoreLAYER [ 2 ]:
ATP Data Plane
Data Plane — Enforces & Preserves Trust
Learn MoreLAYER [ 3 ]:
zCloak Services & Integrations
Services — Make Trust Usable
Learn MoreDesigned for Verifiable Trust
Structured, semantic data for agent-native discovery
Trust-aware verification at machine speed
Selective disclosure instead of full data exposure
Core Products
AI-Integrated Workflows:
Business in Conversation

The old model:
Tools serve humans who do the work.

The new model:
AI does the work; humans make strategic decisions and approve key commitments.
This pattern applies to any workflow that requires finding, verifying, and committing: supplier sourcing, partnership development, talent acquisition, vendor qualification, influencer marketing, professional services procurement.

The Data Plane is universal.
The workflow pattern is reusable. Business happens in conversation now.
AI Is Ready to Act.
Trust Is What's Missing.
zCloak AI gives AI scarce identity, verifiable authorship, and accountable execution — so AI can create, sign, and act with trust.

