Access Controls

Access controls are the policies, mechanisms, and technical safeguards that govern who or what can view, modify, or execute specific resources within a system. They operate at multiple levels — authentication (verifying identity), authorization (defining permissions), and audit (logging activity) — and are implemented through models such as Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), or Zero Trust architectures.

In AI and commerce platforms, access controls are critical for protecting sensitive customer data, pricing logic, model configurations, and proprietary algorithms. As AI systems become integrated into business workflows, they introduce new surface areas: model APIs, training data repositories, prompt templates, and inference logs all require explicit access governance. Inadequate access controls are a leading cause of data breaches and compliance violations — particularly under regulations like GDPR and CCPA — making them a foundational requirement for any production AI deployment.