Data Privacy
The aspect of information technology that deals with the ability to control what data is shared and with whom, ensuring personal data is handled appropriately.
Encompasses user consent management, robust access controls, anonymization or pseudonymization techniques, and transparent data-sharing policies. Data-privacy governance ensures individuals’ rights (access, rectification, erasure) and compliance with laws (GDPR, CCPA) through consent workflows, data-usage monitoring, and privacy-impact assessments for new data pipelines.
A healthcare portal collects patient data only after explicit consent. Each data field (e.g., medical history) is tagged with usage purposes. Patients can log into a privacy dashboard to view, download, or request deletion of their data, fulfilling GDPR and HIPAA privacy requirements.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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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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