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.