How zero-knowledge proofs enable verifiable AI results while maintaining complete privacy of sensitive data.
Traditional AI systems often require access to sensitive data to train models—until now. With Elid's quantum-optimized zero-knowledge proofs, we verify AI results without ever exposing raw input data.
Quantum-optimized zero-knowledge protocols prove AI results without revealing training data. Our solution reduces verification time by 72% compared to standard ZKP systems.
Specialized for AI workflows: generate proofs once and verify infinitely. Maintains <99.9% verification accuracy under adversarial conditions.
Train medical AI models on patient data without exposing sensitive health records. HIPAA-compliant by design.
Perform AI-based fraud detection on transaction data without compromising account holder privacy.
Full GDPR/CCPA compliance with automated data masking and proof of privacy adherence during AI training.
import { ZeroKnowledgeProvider } from '@elid/privacy';
const validator = new ZeroKnowledgeProvider({
proofType: 'zk-STARK',
dataProtection: 'quantum-resistant',
verificationSpeed: 'medium'
});
// Generate proof
const proof = validator.generateProof({
modelOutput: aiResult,
verificationTime: 2000,
securityLevel: 'critical'
});
// Verify without exposing data
const isValid = validator.verifyProof(proof);
Lead Privacy Engineer
Architect of the quantum-optimized proof generation engine
AI Compliance Officer
Ensuring full GDPR/CCPA/HIPAA compliance in AI operations
Security Researcher
Quantum-resistant proof validation algorithm expert
Join 250k+ professionals building private, verifiable AI applications with quantum security.
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