GDPR principles
Lawfulness, purpose limitation, data minimisation, storage limitation, integrity/confidentiality and accountability guide personal-data handling.
This page separates...
Lawfulness, purpose limitation, data minimisation, storage limitation, integrity/confidentiality and accountability guide personal-data handling.
Interactive AI experiences should disclose AI interaction where applicable and keep human oversight/risk classification in the delivery model.
Web application security requirements are used as a verification baseline. This is not an OWASP endorsement or certification.
AI-enabled systems are reviewed against testable AI security requirements across the lifecycle.
Keyboard navigation, focus, labels, target size, contrast and reduced-motion behavior are part of release QA.
Used as a risk-management reference for mapping, measuring and managing AI risks. NIST is revising AI RMF 1.0; NOEPRAX will track the revision rather than claiming a static certification.
Information Security Management System certification is a roadmap item, not a current certification claim.
AI Management System certification is a roadmap item for mature AI governance processes.
A future attestation objective for controls around security and service trust. No SOC 2 badge is claimed today.
Public diagnostic logic is deterministic. Paid model inference is intended only for paid entitlements with configured budgets.
The default architecture favors minimal context retrieval, tenant isolation, least-privilege tool access, explicit approval for sensitive actions, auditability and deletion/retention controls.