Security in Google Cloud

Price
$1,900.00
Duration
 3 Days
Delivery Methods
 VILT    Private Group

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.

 

Upcoming Class Dates and Times

Oct 26  - Oct 29, 2021
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
Nov 16  - Nov 19, 2021
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
Nov 30  - Dec 03, 2021
11:00AM - 7:00PM Central
3 Days
Virtual Instructor Led

Who Should Attend

  • Cloud information security analysts, architects, and engineers
  • Information security/cybersecurity specialists
  • Cloud infrastructure architects
  • Developers of cloud applications.

Course Objectives

    • 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

Agenda

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)
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
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
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
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
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
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
8 - Securing Kubernetes: techniques and best practices
  • Authorization
  • Securing Workloads
  • Securing Clusters
  • Logging and Monitoring
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
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
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)

Prerequisites

  • Prior completion of Google Cloud Fundamentals: Core Infrastructure or equivalent experience
  • Prior completion of Networking in Google Cloud or equivalent experience
  • Knowledge of foundational concepts in information security
  • 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
 

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