In this module we will start with a discussion of service accounts, IAM roles and API scopes as they apply to compute engine. We will also discuss managing VM logins, and how to use organization policies to set constraints that apply to all resources in your organization's hierarchy. Next, we will review compute engine best practices to give you some tips for securing compute engine.Lastly, we will cover encrypting persistent disks with Customer-Supplied Encryption keys.

In this module we discuss controlling IAM permissions and access control lists on Cloud Storage buckets, auditing cloud data, including finding and remediating data that has been set to publicly accessible, how to use signed Cloud Storage URLs and signed policy documents, and encrypting data at rest. In addition, BigQuery IAM roles and authorized views will be covered to demonstrate managing access to datasets and tables. The module will conclude with an overview of storage best practices

In this module we will discuss application security techniques and best practices. We will see how Web Security Scanner can be used to identify vulnerabilities in your applications, and dive into the subject of Identity and Oauth phishing. Lastly, you will learn how Identity-Aware Proxy, or IAP, can be used to control access to your cloud applications.

Protecting workloads in Google Kubernetes Engine involves many layers of the stack, including the contents of your container image, the container runtime, the cluster network, and access to the cluster API server. In this module, you will learn how to securely set up your Authentication and Authorization, how to harden your clusters, secure your workloads, and monitor everything to make sure it stays in good health.