Zero-Knowledge Identity Verification:
Proving Who You Are Without Revealing Data

Traditional identity verification requires revealing sensitive personal information. ZK proofs flip this model—you can prove you are who you claim to be without exposing the underlying data. This represents a fundamental shift in identity technology.

The Identity Privacy Problem

Current identity verification is invasive:

• Show ID with full details to prove one fact
• Personal data copied and stored by verifiers
• Data breaches expose millions of identities
• Over-collection violates privacy principles

ZK proofs solve this by proving statements without revealing underlying data.

ZK Identity Use Cases

How ZK Identity Works

The flow involves several steps:

1. Credential issuance: Trusted issuer provides signed credential
2. Proof generation: User creates ZK proof of specific claims
3. Verification: Verifier checks proof without seeing credentials

// User generates selective disclosure proof
const proof = await zkIdentity.prove({
  credential: myVerifiedCredential,
  disclose: [],  // Reveal nothing
  claims: [
    { type: 'age', predicate: 'greaterThan', value: 18 },
    { type: 'residency', predicate: 'equals', value: 'US' }
  ]
});

// Verifier confirms claims
const result = await zkIdentity.verify(proof);
// { valid: true, claims: { ageOver18: true, usResident: true } }

Selective Disclosure

ZK proofs enable granular control:

• Choose exactly what to reveal
• Prove predicates (over 18) vs values (birthdate)
• Different proofs for different contexts
• Revoke/update without full re-verification

Integration with Biometrics

ZK proofs combine powerfully with biometrics:

• Prove biometric matches registered template without revealing template
• Verify liveness without exposing biometric data
• Cross-reference identities privately

H33 combines FHE for encrypted biometric matching with ZK proofs for privacy-preserving attestation.

Regulatory Compliance

ZK identity supports regulatory requirements:

• KYC: Prove identity verification without storing data
• Age verification: Comply without collecting birthdates
• GDPR: Data minimization by design
• Audit: Prove compliance without exposing user data

Implementation Considerations

• Choose appropriate ZK system for your performance needs
• Plan credential schema carefully
• Consider revocation mechanisms
• Integrate with existing identity infrastructure

ZK identity represents the future of privacy-respecting verification. Users prove what they need to, nothing more.