GCSEC - Security in Google Cloud Platform
This course uses lectures, demos, and hands-on labs to teach you about a variety of Google Cloud security controls and techniques. You'll explore the components of Google Cloud and deploy a secure solution on the platform. You'll also learn how to mitigate attacks at several points in a Google Cloud-based infrastructure, including distributed denial-of-service attacks, phishing attacks, and threats involving content classification and use.
This course teaches participants the following skills:
- Understanding the Google approach to security Managing administrative identities using Cloud Identity.
- Implementing least privilege administrative access using Google Resource Manager, Cloud IAM.
- Implementing IP traffic controls using VPC firewalls and Google Cloud Armor.
- Implementing Identity-Aware Proxy.
- Analyzing changes to the configuration or metadata of resources with Cloud audit logs.
- Securing a Kubernetes environment.
- Scanning for and redacting sensitive data with the Cloud Data Loss Prevention API.
- Scanning a Google Cloud deployment with Forseti.
- Mitigating important types of vulnerabilities, especially in public access to data and VMs
This class is intended for the following job roles:
?[Cloud] information security analysts, architects, and engineers.
?Information security/cybersecurity specialists.
?Cloud infrastructure architects.
? Additionally, the course is intended for Google and partner field personnel who work with customers in those job roles.
?The course should also be useful to developers of cloud applications.
The course includes presentations, demonstrations, and hands-on labs.
Module 1: Foundations of GCP Security
Module 2:Cloud Identity
- Understand the GCP shared security responsibility model.
- Understand Google Cloud’s approach to security.
- Understand the kinds of threats mitigated by Google and by GCP.
- Define and Understand Access Transparency and Access Approval (beta).
Module 3: Identity, Access, and Key Management
- Cloud Identity.
- Syncing with Microsoft Active Directory using Google Cloud Directory Sync.
- Using Managed Service for Microsoft Active Directory (beta).
- Choosing between Google authentication and SAML-based SSO.
- Best practices, including DNS configuration, super admin accounts.
- Lab: Defining Users with Cloud Identity Console.
Module 4: Configuring Google Virtual Private Cloud for Isolation and Security
- GCP Resource Manager: projects, folders, and organizations.
- GCP IAM roles, including custom roles.
- GCP IAM policies, including organization policies.
- GCP IAM Labels.
- GCP IAM Recommender.
- GCP IAM Troubleshooter.
- GCP IAM Audit Logs.
- Best practices, including separation of duties and least privilege, the use of Google groups in policies, and avoiding the use of primitive roles.
- Labs: Configuring Cloud IAM, including custom roles and organization policies.
Module 5: Securing Compute Engine:techniques and best practices
- Configuring VPC firewalls (both ingress and egress rules).
- Load balancing and SSL policies.
- Private Google API access.
- SSL proxy use.
- Best practices for VPC networks, including peering and shared VPC use, correct use of subnetworks.
- Best security practices for VPNs.
- Security considerations for interconnect and peering options.
- Available security products from partners.
- Defining a service perimeter, including perimeter bridges.
- Setting up private connectivity to Google APIs and services.
- Lab: Configuring VPC firewalls.
Module 6: Advanced Logging and Analysis
- Compute Engine service accounts, default and customer-defined.
- IAM roles for VMs.
- API scopes for VMs.
- Managing SSH keys for Linux VMs.
- Managing RDP logins for Windows VMs.
- Organization policy controls: trusted images, public IP address, disabling serial port.
- Encrypting VM images with customer-managed encryption keys and with customer-supplied encryption keys.
- Finding and remediating public access to VMs.
- Best practices, including using hardened custom images, custom service accounts (not the default service account), tailored API scopes, and the use of application default credentials instead of user-managed keys.
- Lab: Configuring, using, and auditing VM service accounts and scopes.
- Encrypting VM disks with customer-supplied encryption keys.
- Lab: Encrypting disks with customer-supplied encryption keys.
- Using Shielded VMs to maintain the integrity of virtual machines.
Module 7: Securing Applications: techniques and best practices
- Cloud Storage and IAM permissions.
- Cloud Storage and ACLs.
- Auditing cloud data, including finding and remediating publicly accessible data.
- Signed Cloud Storage URLs.
- Signed policy documents.
- Encrypting Cloud Storage objects with customer-managed encryption keys and with customer-supplied encryption keys.
- Best practices, including deleting archived versions of objects after key rotation.
- Lab: Using customer-supplied encryption keys with Cloud Storage.
- Lab: Using customer-managed encryption keys with Cloud Storage and Cloud KMS.
- BigQuery authorized views.
- BigQuery IAM roles.
- Best practices, including preferring IAM permissions over ACLs.
- Lab: Creating a BigQuery authorized view.
Module 8: Securing Kubernetes: techniques and best practices
- Types of application security vulnerabilities.
- DoS protections in App Engine and Cloud Functions.
- Cloud Security Scanner.
- Lab: Using Cloud Security Scanner to find vulnerabilities in an App Engine application.
- Identity Aware Proxy.
- Lab: Configuring Identity Aware Proxy to protect a project.
Module 9: Protecting against Distributed Denial of Service Attacks
- Securing Workloads.
- Securing Clusters.
- Logging and Monitoring.
Module 10: Protecting against content-related vulnerabilities
- How DDoS attacks work.
- Mitigations: GCLB, Cloud CDN, autoscaling, VPC ingress and egress firewalls, Cloud Armor (including its rules language).
- Types of complementary partner products.
- Lab: Configuring GCLB, CDN, traffic blacklisting with Cloud Armor.
Module 11: Monitoring, Logging, Auditing, and Scanning
- Threat: Ransomware.
- Mitigations: Backups, IAM, Data Loss Prevention API.
- Threats: Data misuse, privacy violations, sensitive/restricted/unacceptable content.
- Threat: Identity and Oauth phishing.
- Mitigations: Classifying content using Cloud ML APIs; scanning and redacting data using Data Loss Prevention API.
- Lab: Redacting Sensitive Data with Data Loss Prevention API.
- Security Command Center.
- Stackdriver monitoring and logging.
- Lab: Installing Stackdriver agents.
- Lab: Configuring and using Stackdriver monitoring and logging.
- VPC flow logs.
- Lab: Viewing and using VPC flow logs in Stackdriver.
- Cloud audit logging.
- Lab: Configuring and viewing audit logs in Stackdriver.
- Deploying and Using Forseti.
- Lab: Inventorying a Deployment with Forseti Inventory (demo).
- Lab: Scanning a Deployment with Forseti Scanner (demo).
This course is not associated with any certification.
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