Trophy Arki1, Google Cloud Authorized Training Partner of the year 2019 in Latin America

Security in Google Cloud

This 3 day course offers participants a comprehensive study of security controls and techniques on the Google Cloud Platform. Through presentations, demonstrations, and hands-on labs, participants explore and implement the components of a secure GCP solution.
Participants will also learn mitigation techniques for attacks on very small infrastructures based on GCP, including attacks of denial of distributed service, phishing attacks and threats that involve classifying and use of content.

Audience

This class is aimed at the following audience:
  • [Cloud] information security analysts, architects, and engineers
  • Information security/cybersecurity specialists
  • Cloud infrastructure architects
In addition, the course is also aimed at partner field staff who work with clients in these roles. The course should also be useful for developers of cloud applications.

Prerrequisites

To fully benefit from this course, participants must comply with the following criteria:
  • Completion of Google Cloud Platform Fundamentals or have equivalent experience
  • Experience with Node.js
  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Duration

24 hours (3 days)

Investment

Check the next open public class in our enrollment page.
If you are interested in a private training class for your company, contact us.
Security in Google Cloud dependencies with other courses and certifications
Security in Google Cloud dependencies with other courses and certifications

Course Outline

The course includes presentations, demonstrations, and hands-on labs.
  • 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)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Authorization
  • Securing Workloads
  • Securing Clusters
  • Logging and Monitoring
  • 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
  • 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)