Success Stories applying AI in Access Governance

Overall Assessment: This chapter opens with a highly compelling, practical problem statement regarding the "permissions-held to permissions-exercised" gap in long-standing SAP environments. The distinction made between forward-looking probabilistic classification (Supervised ML) and backward-looking deterministic optimization (MILP) is excellent and provides immediate clarity for enterprise architects. To make this chapter truly authoritative, the transition from theoretical definitions to the upcoming case studies needs to establish strict, explicit boundaries on what "AI" can and cannot realistically solve in access governance.