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    Security in Google Cloud (SGCP-3D)

    Google Cloud
    This course gives participants broad study of security controls and techniques on Google Cloud Platform. Through lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution. Participants also learn mitigation techniques for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.

    Security in Google Cloud (SGCP-3D) Objectives

    • 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 Cloud Resource Manager
    • Cloud IAM.
    • Implementing IP traffic controls using VPC firewalls and Cloud Armor
    • Implementing Identity Aware Proxy
    • Analyzing changes to the configuration or metadata of resources with GCP audit logs
    • Scanning for and redact sensitive data with the Data Loss Prevention API
    • Scanning a GCP deployment with Forseti
    • Remediating important types of vulnerabilities
    • especially in public access to data and VMs

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    Key Point of Training Programs

    • Security in Google Cloud (SGCP-3D) Prerequisites

      Who should attend
      This class is intended for the following job roles:

      Cloud information security analysts, architects, and engineers
      Information security/cybersecurity specialists
      Cloud infrastructure architects
      Developers of cloud applications.
      Certifications
      This course is part of the following Certifications:

      Google Cloud Certified Professional Cloud Security Engineer
      Prerequisites
      To get the most out of this course, participants should have:

      Prior completion of Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent experience
      Prior completion of Networking in Google Cloud Platform (NGCP) or equivalent experience
      Knowledge of foundational concepts in information security:
      Fundamental concepts:
      vulnerability, threat, attack surface
      confidentiality, integrity, availability
      Common threat types and their mitigation strategies
      Public-key cryptography
      Public and private key pairs
      Certificates
      Cipher types
      Key width
      Certificate authorities
      Transport Layer Security/Secure Sockets Layer encrypted communication
      Public key infrastructures
      Security policy
      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
      Reading comprehension of code in Python or JavaScript

    • Security in Google Cloud (SGCP-3D) Course Format

      Live Virtual Course

    • Security in Google Cloud (SGCP-3D) Outline

      PART I: MANAGING SECURITY IN GOOGLE CLOUD

      Module 1 Foundations of GCP Security

      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 2 Cloud Identity

      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 3 Identity, Access, and Key Management

      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 4 Configuring Google Virtual Private Cloud for Isolation and Security

      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
      PART II: SECURITY BEST PRACTICES ON GOOGLE CLOUD

      Module 5 Securing Compute Engine: techniques and best practices

      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 6 Securing cloud data: 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 7 Securing Applications: 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 8 Securing Kubernetes: techniques and best practices

      Authorization
      Securing Workloads
      Securing Clusters
      Logging and Monitoring
      PART III: MITIGATING VULNERABILITIES IN GOOGLE CLOUD

      Module 9 Protecting against Distributed Denial of Service Attacks

      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 10 Protecting against content-related vulnerabilities

      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
      Module 11 Monitoring, Logging, Auditing, and Scanning

      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)