Security in Google Cloud Platform

(2 days)

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.

Training Course 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

Audience

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.

Prerequisites

To get the most out of this course, participants should have:

• Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience
• Prior completion of Networking in Google Cloud Platform 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

Google Cloud Platform Training Course Outline

Module 1: Foundations of GCP Security

• Google Cloud’s approach to security
• The shared security responsibility model
• Threats mitigated by Google and by GCP
• Access Transparency

Module 2: Cloud Identity

• Cloud Identity
• Syncing with Microsoft Active Directory
• Choosing between Google authentication and SAML-based SSO
• GCP best practices

Module 3: Identity and Access Management

• GCP Resource Manager: projects, folders, and organizations
• GCP IAM roles, including custom roles
• GCP IAM policies, including organization policies
• GCP IAM best practices

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 structuring VPC networks
• Best security practices for VPNs
• Security considerations for interconnect and peering options
• Available security products from partners

Module 5: Monitoring, Logging, Auditing, and Scanning

• Stackdriver monitoring and logging
• VPC flow logs
• Cloud audit logging
• Deploying and Using Forseti

Module 6: 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
• VM best practices
• Encrypting VM disks with customer-supplied encryption keys

Module 7: 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
• BigQuery authorized views
• BigQuery IAM roles
• Best practices, including preferring IAM permissions over ACLs

Module 8: Protecting against Distributed Denial of Service Attacks: techniques and best practices

• How DDoS attacks work
• Mitigations: GCLB, Cloud CDN, autoscaling, VPC ingress and egress firewalls, Cloud Armor
• Types of complementary partner products

Module 9: Application Security: techniques and best practices

• Types of application security vulnerabilities
• DoS protections in App Engine and Cloud Functions
• Cloud Security Scanner
• Threat: Identity and Oauth phishing
• Identity Aware Proxy

Module 10: Content-related vulnerabilities: techniques and best practices

• Threat: Ransomware
• Mitigations: Backups, IAM, Data Loss Prevention API
• Threats: Data misuse, privacy violations, sensitive/restricted/unacceptable content
• Mitigations: Classifying content using Cloud ML APIs; scanning and redacting data using Data Loss Prevention API