How continuous data access governance reduces AI risk (part 3 of 3)
Throughout this series detailing the stages of the Data Access Governance Maturity Model, we have tracked the evolution of unstructured data management from its most vulnerable stages to active, structured control. In the first blog, we explored how organizations break free from the blind spots of Level 1: Unmanaged Risk to establish a diagnostic baseline at Level 2: Visibility. In our second post, we climbed higher, mapping out how to replace grueling manual cleanup efforts with the automated control of Level 3: Enforcement and the business-led accountability of Level 4: Certified Governance.
But even with scheduled access certifications and hardened baselines, an underlying vulnerability remains: risk can still compound in the gaps between your scheduled review cycles.
In this final installment, we look beyond periodic compliance to explore the peak of data maturity: Level 5: Continuous Governance. In a landscape where unstructured data grows exponentially, moving to...
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