Insights

Securing Enterprise AI: A Practical Governance Framework

Securing enterprise AI is now a board-level concern. The organizations that win treat AI security as a system — policy, controls, identity, and evidence — not a one-off review.

The control layers that matter

Start with data classification and an acceptable-use policy, then layer identity (SSO, role-based access, customer-managed keys), guardrails and DLP, and immutable audit. Each layer reduces exposure while keeping AI useful.

Process beats point fixes

A staged process — assess, pilot, govern, scale, sustain — closes each phase with an artifact leadership can act on. Governance is the product: the controls and policy that make AI durable.

Evidence for auditors

Map your AI controls to SOC 2, ISO 27001, NIST AI RMF, and the EU AI Act. Board-ready evidence turns a security posture into a competitive advantage.


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