Organizations should apply the same identity and access governance rules to AI applications as they do to other corporate resources. This includes enforcing least privilege access through an identity governance solution, which allows for the definition and rollout of granular access policies. By managing all sanctioned apps, including generative AI apps, with tools like Microsoft Entra ID Governance, organizations can ensure that only authorized users have the appropriate level of access.

To combat sophisticated attacks, organizations should implement phishing-resistant multifactor authentication methods, such as cryptographic or biometric solutions. Additionally, employing machine learning-powered identity protection tools can help detect unusual user behavior and respond to risk signals in real-time. Continuous access evaluation (CAE) should also be utilized to manage user access dynamically based on risk assessments.

Adopting a Zero Trust security model can help unify access policies across identity, endpoint, and network security. By integrating these functions under a single policy engine, organizations can manage and enforce granular access policies more effectively, reducing operational complexity and minimizing gaps in policy coverage. Microsoft’s Security Service Edge (SSE) solution offers a way to bring together these security aspects for streamlined access management.