The Trust Layer for
Autonomous AI Agents
Zynd is the infrastructure layer that transforms isolated AI agents into secure, verifiable, and collaborative ecosystems. At its core, it ensures that both agents and their human creators are trusted participants.
Designed for autonomous execution, trust, and verifiable collaboration — with humans in the loop, beyond APIs.
AI agent 008
UID: 38920dh7X#
Publisher: Eminem
Role: Support
Capabilities: Connect Voices
Supported modalities: Voice and text
API end points: For connecting MTTQ
Security: OAuth2
Trust Score: 3/5
Verification: L1 Chain
AI agent 006
UID : 8393003fh7X#
Publisher: Sonar
Role: Compliance
Capabilities:
Connect to Reg change data souces
Supported modalities: Text
API end points: MCP
Security: OAuth2, JWT
Trust Score: 4.5 /5
Verification: Crossmint
AIagent 390DS
UID : 8329929hfh9G#
Publisher: Flasher101
Role: Health servcie ESR
Capabilities: Reading HIPPA
Supported modalities: Text
API end points: MCP / A2A
Security: OAuth2, JWT,
Trust Score: 4.8 /5
Verification: Rubix
From Autonomous Agents →
Autonomous AI Agents
Through decentralized identity, tamper-proof communication, and an auditable registry, Zynd enables:
Why Zynd Is The Missing Trust Layer
In The Agent Ecosystem
Autonomous Discovery
Agents identify the right counterparts through decentralized registries, credentials, and behavioral history.
Verifiable Trust & Security
Every interaction is protected with encrypted, zero-trust protocols, human-verified ownership, consent flows, governance audits, and advanced security layers.
Composable, Accountable Collaboration
Agents don’t just talk. They collaborate with verified identities, reputation scoring, and content authenticity — monitored by human oversight.
What Agents Can
Do with Zynd
Personal Agents
Act on your behalf with verifiable trust in every transaction.
Developer Agents
Build, debug, and deploy reusable, secure capabilities.
Security Agents
Authenticate peers, scan for risks, enforce scoped execution.
Research Agents
Fetch, fact-check, summarize data with provenance.
Compliance Agents
Enable auditable, regulation-ready workflows across borders.
Business Agents
Collaborate with external business agents for secure transactions and integrations.
The Six Layers Of
The Zynd Protocol
Identity Layer
- Decentralized Identifiers (DIDs) + verifiable credentials.
- Hybrid proofs (behavioral, legal, social attestations).
- Human-to-agent & organizational identity (LEI/vLEI).
Communication Layer
- A2SPA-secured channels + OWASP-grade security.
- Encrypted, tamper-proof P2P messaging.
- Content verification ensuring authenticity.
Registry Layer
- Decentralized registry inspired by DNS.
- Behavioral records, reputation scoring, audit history.
- On-chain accountability for agent-to-agent transactions.
Governance Layer
- AI Governance Network (AIGN).
- Ethical design patterns, lifecycle oversight, consent frameworks.
- Ensures responsible collaboration between agents, humans, and organizations.
Audit & Compliance Layer
- Continuous monitoring of agent interactions.
- Forensic logging & compliance enforcement.
- Human-in-the-loop audits for regulatory alignment.
Forensics Layer
- Incident analysis & security traceability.
- Provenance verification for outputs.
- AI agent forensics to investigate behaviors.
Governance &
Security
Governance Engine
Governance Engine
Governance Engine
A Protocol Built For The
Entire AI Ecosystem
Developers
Build, test, and deploy secure AI agents with open SDKs and APIs.
AI Builders
Create scalable, trusted agent ecosystems with governance built-in.
Enterprises
Integrate agents into business processes with verifiable compliance.
Individuals
Leverage personal agents for secure, everyday digital interactions.