Skip Navigation LinksHome > Vendors > Google-Cloud-Platform > Security in Google C

Security in Google Cloud Platform

Overview

Duration: 2 days

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.

Objectives

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. 

Content

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

Audience

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. 

Prerequisites

None

Certification

Schedule

Course ID:
Security in Google C


Show Schedule for: