User Consent
The process of obtaining and recording explicit permission from individuals before collecting, processing, or using their personal data in AI systems.
A legal and ethical requirement implemented via clear consent dialogs, granular consent options (e.g., analytics vs. personalization), and immutable logging of granted consents. Governance mandates periodic consent renewals, easy opt-out mechanisms, and mechanisms to honor consent withdrawal (data deletion, processing cessation). Consent records must be auditable and tied to data-access controls to enforce user preferences in all pipelines.
A fitness-app prompts new users with checkboxes for “Health Analytics” and “Social Sharing.” Selected options are stored in a consent ledger. If a user later withdraws consent for analytics, the system automatically excludes their data from model-training pipelines and logs the change for audit.
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
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