Verifiable AI Interactions
Enterprise-grade cryptographic receipts for AI access, usage verification, and compliance. Every interaction generates tamper-proof evidence for transparent operations.
How Cryptographic Receipts Work
Every AI interaction generates a cryptographically signed receipt that provides verifiable proof of consent, usage, and compliance.
Cryptographic Signing
JWS (JSON Web Signature) ensures receipts cannot be tampered with or forged. Each receipt includes cryptographic proof of authenticity.
Real-time Generation
Receipts are generated instantly for every interaction, providing immediate proof of consent and compliance.
Global Verification
Verify receipts anywhere in the world through our global verification network with sub-second response times.
Compliance Reporting
Generate comprehensive audit trails and compliance reports for regulatory requirements and internal governance.
Blockchain Anchoring
Optional blockchain anchoring provides additional immutability guarantees for high-stakes interactions.
Legal Validity
Receipts provide legally admissible evidence of consent, attribution, and compliance with applicable regulations.
Receipt Structure
Each receipt contains all necessary information for verification, compliance, and audit purposes.
Use Cases
Cryptographic receipts enable transparent, verifiable AI operations across industries.
AI Training Compliance
Prove that training data was accessed with proper consent and attribution for AI model development.
Content Licensing
Verify that published content was used according to licensing terms and attribution requirements.
Regulatory Audits
Provide comprehensive audit trails for GDPR, CCPA, AI Act, and other regulatory compliance.
Enterprise Governance
Maintain detailed records of AI system interactions for internal risk management and governance.
Legal Evidence
Generate legally admissible evidence for intellectual property disputes and compliance violations.
Usage Analytics
Track and analyze AI system behavior with verifiable usage patterns and interaction metrics.