Privacy Impact Assessment
A structured analysis to identify and mitigate privacy risks associated with AI systems, covering data collection, use, sharing, and retention.
A formal process - often required by regulation - where teams catalogue data flows, map personal data elements, evaluate legal bases (consent, legitimate interest), identify potential privacy harms, and define mitigation measures (opt-out options, retention limits). The PIA culminates in a report with risk ratings and action plans, and it must be revisited whenever substantial changes occur.
Before launching a customer-segmentation AI, a retail bank conducts a PIA: they document that geolocation and purchase history are collected, assess the necessity and proportionality of each data field, propose monthly auto-deletion of location logs, and secure senior-management sign-off on the completed report.
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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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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.