They secure access to resources, enforce regulatory compliance, and manage security across multiple domains including identity, network, application, data, and compute.
The Microsoft Cloud and AI Security Engineer protects organizational systems and data across cloud and hybrid environments by implementing comprehensive security controls that proactively help prevent unauthorized access and mitigate risks. They secure access to resources, enforce regulatory compliance, and manage security across multiple domains including identity, network, application, data, and compute. They also ensure that platforms, data, identities, and infrastructure used by AI workloads are securely implemented and monitored.
“It’s not the certificate that matters the most but preparing for the Industry”
Basic understanding of Microsoft Azure and cloud computing concepts Familiarity with networking fundamentals, including TCP/IP, DNS, VPNs, and firewalls Basic knowledge of identity and access management concepts Understanding of authentication, authorization, and security controls Familiarity with Microsoft Entra ID and Azure resource management is recommended Basic knowledge of cloud security, compliance, and data protection concepts Understanding of security monitoring, threat detection, and incident response is beneficial