
Master the shared responsibility model in Google Cloud Platform, distinguishing Google’s cloud security from customers’ duties across IaaS, PaaS, and SaaS deployments.
Explore GCP security services across identity, data protection, network security, threat detection, and governance, including IAM, Cloud Identity, cmek, Secret Manager, VPC, IAP, Security Command Center, Cloud Armor, and DevSecOps.
Explore a four-pillar security foundation focusing on identity, network, data, and operations to implement defense in depth and zero-trust alignment in Google Cloud.
Apply least privilege, defense in depth, and zero trust in Google Cloud Platform using IAM, firewall rules, IAP, and context-aware access to minimize risk.
Apply cloud security best practices by ensuring IAM policies in GCP use corporate managed Google accounts rather than personal emails. The approach enhances auditability, MFA enforcement, least-privilege, and zero-trust governance.
Implement multi-factor authentication for all user accounts in Google Cloud Platform to greatly reduce phishing and credential theft risks, with options like hardware security keys, OTP, and biometric FIDO2/WebAuthn.
Enforce security key usage for admin accounts to protect access to sensitive cloud resources, binding logins to the origin domain with phishing resistant MFA using Fido2 and U-2f.
Eliminate the use of user managed service account keys by adopting GCP managed keys and workload identity federation for automatic rotation and tighter auditability.
Apply the principle of least privilege to service accounts in GCP by granting only necessary IAM roles, reducing attack surface for automated processes, cloud functions, and GKE workloads.
Rotate KMS encryption keys regularly to protect data at rest in GCP; learn about key rings, crypto keys, versions, and automatic 90-day rotation with audit logging.
learn how to prevent public access to cloud storage buckets by defaulting to private and enforcing iam-based permissions, audits, and organization policies to protect sensitive data.
Enable uniform bucket level access to centralize access control with IAM, disable object-level ACLs, and improve auditability through cloud audit logs for secure, scalable storage.
Enable VPC flow logs for subnets to gain real-time visibility into network traffic, exporting metadata such as IP addresses, ports, protocols, and timestamps for threat detection, auditing, and operational insights.
This course, Google Cloud Security Best Practices, is an in-depth, practical guide designed for cloud professionals, security engineers, architects, system administrators, and compliance officers who want to secure their workloads on Google Cloud Platform (GCP). As cloud environments grow increasingly complex, adopting a proactive and structured security posture is no longer optional—it is essential. This course equips learners with both the conceptual understanding and the technical implementation skills needed to build, manage, and scale secure cloud environments in GCP.
We begin by demystifying the Shared Responsibility Model in GCP, establishing a clear understanding of which security controls are managed by Google and which fall under the customer's responsibility. This is followed by an overview of GCP’s native security services, such as Cloud IAM, Cloud KMS, VPC Service Controls, Cloud Audit Logging, and Security Command Center, each designed to strengthen different aspects of the cloud security architecture.
The course dives deep into the foundational pillars of cloud security—Identity, Network, Data, and Operations—and teaches how to apply key principles like least privilege, defense in depth, and zero trust across GCP services. Students will gain hands-on knowledge through modules that include ensuring IAM policies don’t allow access to personal email accounts, enabling multi-factor authentication (MFA), enforcing security keys for admin accounts, and preventing the use of user-managed service account keys.
We also cover crucial topics such as service account permission restriction, automated KMS key rotation, and preventing public access to Cloud Storage and BigQuery datasets. Network-level best practices include enabling VPC Flow Logs, blocking project-wide SSH keys, and disabling serial port and IP forwarding on VM instances. Additionally, students will learn how to enable OS Login for centralized SSH access, configure Cloud Audit Logs, set up log sinks, and define log retention policies.
Data protection topics cover enforcing HTTPS for App Engine, requiring SSL for Cloud SQL, restricting public IP access, and enabling automated backups to safeguard against data loss. Each module includes clear implementation steps, ensuring students can directly apply what they learn using the GCP Console or gcloud CLI.
By the end of this course, learners will be able to design and maintain a secure GCP environment that aligns with modern cloud security frameworks and compliance standards such as CIS Benchmarks, ISO 27001, NIST 800-53, PCI-DSS, and HIPAA. This course is essential for any team seeking to operationalize security at scale within GCP.