Security & Compliance
Security Overview
DeepaData is built for regulated industries handling emotionally sensitive data. Our architecture is designed around cryptographic integrity, significance-first processing, and compliance with emerging AI regulation.
Core Security Principles
Cryptographic Integrity
Every .ddna artifact is sealed with W3C Data Integrity Proofs using Ed25519 signatures. Provenance is mathematically verifiable.
Learn more →Non-Inferential by Design
DeepaData interprets expressed emotional content — it does not infer emotional states. This architectural distinction is critical for EU AI Act Article 5 compliance.
Learn more →Consent-Bound Data
All artifacts include governance metadata: jurisdiction, consent basis, retention policy. VitaPass provides cryptographic consent attestation.
Learn more →Audit-Ready Records
Certificates of issuance create an immutable audit trail. When regulators ask "what did your AI understand?", you have the answer.
Learn more →Regulatory Alignment
DeepaData is designed to help organizations comply with emotional AI regulations across multiple jurisdictions.
| Regulation | Requirement | DeepaData Approach |
|---|---|---|
| EU AI Act | Article 5 prohibits emotional inference in employment, education | Non-inferential architecture — interpretation only |
| GDPR | Lawful basis, data minimization, right to explanation | Consent attestation, governance metadata in every artifact |
| HIPAA | PHI protection, audit trails, access controls | Cryptographic sealing, certificate registry, API key scopes |
| CCPA | Consumer data rights, opt-out, deletion | Subject-bound artifacts, VitaPass consent management |