Google Cloud Certified Professional Cloud Security Engineer(GCP) Online Training in Karachi, Lahore, Islamabad, Pakistan, Dubai

Google Cloud Certified Professional Cloud Security Engineer

A Professional Cloud Security Engineer enables organizations to design and implement a secure infrastructure on Google Cloud Platform. Through an understanding of security best practices and industry security requirements, this individual designs, develops, and manages a secure infrastructure leveraging Google security technologies. The Cloud Security Professional should be proficient in all aspects of Cloud Security including managing identity and access management, defining organizational structure and policies, using Google technologies to provide data protection, configuring network security defenses, collecting and analyzing Google Cloud Platform logs, managing incident responses, and an understanding of regulatory concerns.

Course Key Learnings:

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

Course Content:

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.

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: Advanced Logging and Analysis

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.

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 Stackdrive
Deploying and Using Forseti
Lab: Inventorying a Deployment with Forseti Inventory (demo)
Lab: Scanning a Deployment with Forseti Scanner (demo).

Course Prerequisites

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