Agent Principal Credential (APC)

Enables privacy-first verification of accredited investor status using Zero-Knowledge Proofs, ensuring compliance without exposing financial or identity details.

User Journey

Alice needs to understand what the ownership structure of an AI Agent is.

See It in Action

COMING SOON

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Why Verify Agent Principal Relationships?

The Accountability Gap

Traditional AI systems operate in an accountability vacuum:

• Unknown Owners: Agents deploy without clear ownership attribution

• Jurisdictional Arbitrage: Operators hide behind anonymity and cross-border complexities

• Regulatory Evasion: No mechanism to enforce compliance across decentralized networks

The Solution

The Agent Management Layer establishes:

• Clear Attribution: Unambiguous link between agents and responsible parties

• Global Compliance: Cross-jurisdictional identity verification

• Risk Mitigation: Reduced exposure to unauthorized or malicious agents

• Legal Framework: Foundation for enforceable rights and responsibilities

Why zkMe APR

Privacy-Preserving Compliance

zkMe's Zero-Knowledge Agent Management Layer enables:

• Selective Disclosure: Prove specific attributes without revealing full identity

• Regulatory Compliance: Meet AML/KYC requirements while preserving privacy

• Cross-Jurisdictional Portability: Single verification, global recognition

• Minimal Data Exposure: Principal information remains encrypted and controlled

Technical Advantages

• Battle-Tested Cryptography: Production-ready BBS+ and Groth16 implementations

• Scalable Infrastructure: Handles millions of verifications with sub-second latency

• Interoperable Standards: Built on W3C DIDs and Verifiable Credentials

• Decentralized Architecture: No single point of failure or control

Ecosystem Integration

• Plug-and-play SDKs for major development frameworks

• Multi-chain support including Ethereum, Polygon, and Solana

• Standardized schemas compatible with existing identity infrastructure

• Proven deployment with enterprise and regulatory partners

How It Works

For Agent Developers/Owners:

1. Registration: Principal creates a decentralized identity (DID) and registers with zkMe's zkAML system

2. Verification: Undergo identity verification while preserving privacy through zero-knowledge proofs

3. Credential Issuance: Receive a verifiable credential attesting to their principal status

4. Agent Binding: Cryptographically link agents to their principal credential

5. Lifecycle Management: Update or revoke credentials as ownership changes

For Agent Verifiers:

1. Request Proof: Ask an agent to prove its principal relationship

2. Verify Credential: Validate the zero-knowledge proof without accessing sensitive principal data

3. Risk Assessment: Use the verified relationship for trust decisions and compliance

4. Audit Trail: Maintain immutable records of verification for regulatory purposes

Technical Architecture

Principal (DID) → zkAML Verification → Agent-Principal Credential → Agent Binding → Verifiable Proofs

Key Components

1. Principal Identity

   • Decentralized Identifier (DID)

   • Zero-knowledge verified identity claims

   • Jurisdictional compliance status

2. Credential Structure

   • Principal DID reference

   • Agent DID reference

   • Relationship type (owner, operator, developer)

   • Permission scope and limitations

   • Validity period and conditions

3. Verification Flow

   • Principal generates zk-proof of credential ownership

   • Verifier checks proof against on-chain state roots

   • No sensitive principal data exposed during verification

Cryptographic Foundation

• BBS+ Signatures: Selective disclosure of credential attributes

• Zero-Knowledge Proofs: Verify compliance without revealing identity

• Merkle Tree State Roots: Efficient global verification

• Revocation Registries: Immediate credential invalidation

Use Cases to Benefit

Financial Services

• DeFi Protocols: Verify trading agent ownership before granting access

• Lending Platforms: Assess principal credibility for agent-originated loans

• Payment Systems: Ensure compliance for autonomous payment agents

• Insurance: Underwrite policies based on verified ownership structures

Enterprise Deployment

• Corporate AI Systems: Establish clear internal accountability

• Supply Chain Agents: Verify authorized trading and logistics agents

• Data Access Control: Ensure only properly owned agents access sensitive data

• Contract Management: Enforce authorized agent participation in smart contracts

Regulatory Compliance

• Financial Authorities: Monitor agent ownership for market surveillance

• Data Protection: Ensure GDPR/compliance through accountable operators

• Consumer Protection: Provide recourse paths for agent-caused damages

• Cross-Border Operations: Simplify jurisdictional compliance verification

Consumer Applications

• Personal AI Assistants: Verify legitimate service providers

• Content Creation: Attribute AI-generated content to responsible entities

• E-commerce: Trust verified merchant agents for automated transactions

• Healthcare: Ensure compliance for medical diagnostic agents

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Pricing & Integration

Drop us a line at [email protected] and let’s kick things off!