Regulatory Mapping

Regulatory mapping is the process of tracing how specific laws, standards, and regulatory requirements apply to an organization's AI systems, controls, and business processes. It typically produces a matrix or inventory that links each obligation to the internal policies, technical safeguards, and owners responsible for meeting it. For enterprise AI governance teams, it turns a sprawling set of rules, such as the EU AI Act and sector-specific guidance, into an actionable compliance plan that shows where gaps exist before a regulator or auditor finds them.

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ResearchGlobal2026-10-30

75% of IT Leaders Say Compliance Constrains AI Scale, Cloudera Survey Finds

A Cloudera survey of enterprise IT leaders found that 75% view governance and compliance as a constraint on scaling AI, while 55% reported governance costs grew faster than expected. The findings expose a structural gap between how fast AI is being deployed and how well organizations have planned the programs that govern it. The survey covered AI inventory, regulatory mapping, model risk controls, data sovereignty, and third-party oversight.

Cloudera enterprise AI governance compliance costs AI inventory model risk management data sovereignty regulatory mapping