Résumé du cours
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.
A qui s'adresse cette formation
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
Cette formation prépare à la/aux certifications:
Pré-requis
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
- Fundamental concepts:
- 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
Objectifs
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
Suite de parcours
Contenu
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)
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