Data Subject
An individual whose personal data is collected, held, or processed, particularly relevant in the context of data protection laws like GDPR.
Any identifiable person (customer, employee, patient) whose data rights - access, correction, deletion, portability - must be honored under privacy regulations. Data-subject governance includes workflows to validate identity, process data-subject requests within statutory timeframes, and maintain audit logs of all actions taken on an individual’s data.
After a user requests “right to be forgotten” under GDPR, a telecom provider’s privacy team verifies the user’s identity, deletes all associated call-detail records and billing data, and logs the deletion. They confirm compliance within the mandated one-month timeframe, documenting the process for regulatory audits.

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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?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
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