AI workloads often require isolation and strict access controls to prevent unauthorized access and safeguard sensitive data involved in machine learning processes. Reference: [CCSK Study Guide, Domain 8 - AI Workload Security]

Zero Trust (ZT) security architectureis amodern cloud security approachthat operates on the principle of" Never Trust, Always Verify." Primary Benefits of Zero Trust in Cloud:
Minimizes Attack Surface
Traditional security modelsassume trust within an internal network.
Zero Trust eliminates implicit trustand enforcescontinuous verification of user identities.
Reduces the risk ofdata breaches, insider threats, and lateral movement attacks.
Strong Authentication & Access Controls
Multi-Factor Authentication (MFA) & Just-in-Time (JIT) accessare mandatory inZero Trust models.
Usescontext-based access policies (device, location, behavior analytics)to enforceadaptive security.
Micro-Segmentation & Least Privilege Access
Restricts access to only necessary applications, minimizing lateral movement in cloud environments.
Micro-segmentation isolates workloads, reducing the impact of breaches.
Cloud-Native Zero Trust Integration
Cloud providers(AWS, Azure, Google Cloud)offerZero Trust Network Access (ZTNA)solutions.
Cloud Security Posture Management (CSPM)continuously scans cloud environments for security compliance.
This aligns with:
CCSK v5 - Security Guidance v4.0, Domain 12 (Identity, Entitlement, and Access Management) Zero Trust Cloud Security Architecture (CSA Zero Trust Working Group).