Global Certificate in Container Security for Government
-- ViewingNowThe Global Certificate in Container Security for Government course is a comprehensive program designed to empower IT professionals in the public sector with the knowledge and skills to secure container environments effectively. With the increasing adoption of containerization technology in government agencies, the demand for skilled container security specialists is on the rise.
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GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Container Fundamentals: Understanding containerization, container runtimes, container images, and container orchestration.
โข Container Security Principles: Learning the core principles of container security, including image scanning, runtime security, network security, and secrets management.
โข Threat Modeling for Containers: Identifying container-specific threats, designing security controls, and developing a threat modeling methodology.
โข Hardening Container Images: Implementing best practices for building secure container images, including minimizing the attack surface, managing dependencies, and configuring image scanning.
โข Container Orchestration Security: Securing container orchestration platforms such as Kubernetes, including network policies, secrets management, and RBAC.
โข Runtime Security for Containers: Implementing runtime security controls, including SELinux, AppArmor, and seccomp, and using container security tools for runtime security.
โข Container Network Security: Configuring network policies, implementing network segmentation, and securing container network traffic.
โข Secrets Management for Containers: Storing, retrieving, and managing secrets in a secure manner, including encryption, access controls, and auditing.
โข Container Security Compliance: Understanding container security compliance frameworks, including CIS Docker Benchmark, and NIST SP 800-190.
โข Incident Response for Containers: Developing an incident response plan, identifying and containing security incidents, and conducting post-incident analysis and lessons learned.
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