Professional-Cloud-Security-Engineer Questions and Answers

Enable Firewall Rules Logging on the latest rules that were changed. Use Logs Explorer to analyze whether the rules are working correctly:

Enable Firewall Rules Logging for the specific firewall rules in question through the Google Cloud Console.

Once logging is enabled, use Logs Explorer to filter and review the firewall logs.

Analyze the logs to determine if the rules are allowing or blocking traffic as intended, identifying any misconfigurations or issues.

References:

Firewall Rules Logging

Using Logs Explorer

Rotating a user-managed Service Account key involves creating a new key, updating your application to use the new key, and then deleting the old key to maintain security. Here’s the step-by-step process:

Create a New Key: Use the Google Cloud Console or gcloud command-line tool to create a new key for the service account. This generates a new key pair and provides you with the private key.

gcloud iam service-accounts keys create new-key-file.json --iam-account=YOUR_SERVICE_ACCOUNT_EMAIL

Update Application: Update your application configuration to use the new key. This might involve replacing the old key file with the new one or updating the environment variables or configurations that point to the key file.

Delete the Old Key: Once you have confirmed that the application is working correctly with the new key, delete the old key from the service account to ensure it cannot be used for unauthorized access.

gcloud iam service-accounts keys delete OLD_KEY_ID --iam-account=YOUR_SERVICE_ACCOUNT_EMAIL

This process ensures that your service account keys are regularly rotated, reducing the risk of key compromise.

References

Managing Service Account Keys

Service Account Key Rotation

Disable service account key creation You can use the iam.disableServiceAccountKeyCreation boolean constraint to disable the creation of new external service account keys. This allows you to control the use of unmanaged long-term credentials for service accounts. When this constraint is set, user-managed credentials cannot be created for service accounts in projects affected by the constraint. https://cloud.google.com/resource-manager/docs/organization-policy/restricting-service-accounts#example_policy_boolean_constraint

https://cloud.google.com/logging/docs/access-control#considerations roles/logging.privateLogViewer (Private Logs Viewer) includes all the permissions contained by roles/logging.viewer, plus the ability to read Data Access audit logs in the _Default bucket.

A security key is a physical device that you can use for two-step verification, providing an additional layer of security for your Google Account. Security keys can defend against phishing and man-in-the-middle attacks, making your login process more secure.

Here are the permissions available to organizationRoleAdmin

iam.roles.create

iam.roles.delete

iam.roles.undelete

iam.roles.get

iam.roles.list

iam.roles.update

resourcemanager.projects.get

resourcemanager.projects.getIamPolicy

resourcemanager.projects.list

resourcemanager.organizations.get

resourcemanager.organizations.getIamPolicy

There are sufficient as per least privilege policy. You can do user management as well as auditing.

https://cloud.google.com/iam/docs/understanding-custom-roles

When creating a secure container image, it is essential to follow best practices to minimize vulnerabilities and ensure the container operates as intended. Here are the two key practices:

Package a Single App as a Container: By packaging only a single application within a container, you reduce complexity and potential attack surfaces. This practice aligns with the principle of single responsibility, ensuring each container has a clear and focused purpose.

Remove Any Unnecessary Tools: Any additional tools or software that are not required by the application should be removed from the container image. This minimizes the number of potential vulnerabilities and reduces the attack surface. A minimal container image also leads to smaller image sizes and faster deployment times.

These practices contribute to creating a more secure and efficient container image.

References

Container Security Best Practices

Securing Container Images

https://cloud.google.com/kms/docs/ekm#how_it_works

- First, you create or use an existing key in a supported external key management partner system. This key has a unique URI or key path.

- Next, you grant your Google Cloud project access to use the key, in the external key management partner system.

- In your Google Cloud project, you create a Cloud EKM key, using the URI or key path for the externally-managed key.

To enforce private connectivity between on-premises hosts and Google Cloud APIs while optimizing for cost and operational efficiency, using a dedicated or Partner Interconnect is the best solution. This setup ensures a reliable, high-bandwidth connection with private IP addressing.

Choose Interconnect Type: Decide between Dedicated Interconnect and Partner Interconnect based on your bandwidth needs and proximity to Google Cloud locations.

Set Up Interconnect:

For Dedicated Interconnect, order circuits through the Google Cloud Console.

For Partner Interconnect, select a supported service provider and order the connection through them.

Configure VPC and Private Google Access:

In your VPC, enable Private Google Access to allow on-premises hosts to access Google APIs privately.

Go to "VPC network" -> "Private Google Access" and enable it for your subnets.

Establish Connectivity: Work with your network team and (if applicable) your Partner Interconnect provider to set up the physical and logical connections.

Test Connectivity: Verify that on-premises hosts can reach Google Cloud services using private IP addresses.

References:

Google Cloud Interconnect Overview

Configuring Private Google Access

If the environment variable GOOGLE_APPLICATION_CREDENTIALS is set, ADC uses the service account key or configuration file that the variable points to. If the environment variable GOOGLE_APPLICATION_CREDENTIALS isn't set, ADC uses the service account that is attached to the resource that is running your code. https://cloud.google.com/docs/authentication/production#passing_the_path_to_the_service_account_key_in_code

Provide granular access to secrets: 2.Enforce access control to secrets using project-level identity and Access Management (IAM) bindings. Give you control over the rotation schedules for the encryption keys that wrap your secrets: 3. Use customer-managed encryption keys to encrypt secrets. Maintain environment separation: 1. Use separate Google Cloud projects to store Production and Non-Production secrets.

To configure the behavior where each department member automatically has read-only access to all new project resources created by any department member, you should use Google Cloud's folder structure and IAM roles effectively. Here are the steps:

Create Folders for Departments: Create a folder under your Organization for each department. Folders help organize resources and provide a hierarchy for applying policies and permissions.

Assign IAM Roles to Google Groups: Assign the Project Viewer role to the Google Group associated with each department at the folder level. This ensures that all members of the group have the necessary permissions.

Inherited Permissions: When a department member creates a new project under their department's folder, the permissions assigned to the folder are inherited by the new project. Thus, all department members will automatically have read-only access to the project's resources.

Navigate to IAM & Admin in the GCP Console.

Select "Folders" from the left-hand menu.

For each department, create a new folder under the organization.

Select the newly created folder, and then go to the "Permissions" tab.

Click on "Add" to assign a new role.

Enter the email address of the Google Group for the department.

Assign the "Project Viewer" role to the group.

Access Restrictions: Since the permissions are applied at the folder level, only the members of the specific department's Google Group will have read-only access to the projects created in that folder. Other departments will not have access unless explicitly granted.

By following these steps, you ensure that department members have the required access to their respective projects without manual configuration for each new project.

References:

Google Cloud IAM Documentation

Google Cloud Resource Manager Documentation

Storing secrets securely is crucial for maintaining the integrity and confidentiality of your applications. Here is how you can achieve this using Google Cloud Platform:

Encrypt the Secrets: Use Customer-Managed Encryption Keys (CMEK) to encrypt your secrets. CMEK allows you to have greater control over the encryption keys used to protect your data. This ensures that even if the storage medium is compromised, the secrets remain protected by strong encryption.

Store in Cloud Storage: Store the encrypted secrets in Google Cloud Storage. Cloud Storage is a secure and scalable object storage service. By using encrypted storage, you can ensure that the secrets are securely stored and can only be accessed by authorized entities.

This method provides a secure and managed way to store secrets, ensuring that they are not exposed in plain text within your source code management system.

References

Customer-Managed Encryption Keys (CMEK)

Google Cloud Storage Security

To migrate the current data backup and disaster recovery solutions to GCP while keeping the production environment on-premises, the most scalable and cost-efficient solution is using Google Cloud Storage with scheduled tasks and the gsutil command.

Setup Cloud Storage: Create a Cloud Storage bucket to store the backups.

Go to the Cloud Console and navigate to Cloud Storage.

Click "Create bucket" and follow the prompts to configure the storage bucket.

Install gsutil: Ensure gsutil is installed on the on-premises servers.

gsutil is a command-line tool for interacting with Cloud Storage.

Follow the installation guide here.

Create Backup Script: Write a script to upload data to Cloud Storage using gsutil.

#!/bin/bash gsutil -m cp -r /path/to/local/backup gs://your-bucket-name

Schedule Backup Task: Use a scheduling tool like cron on Linux to run the backup script at regular intervals.

Edit the crontab file with crontab -e and add an entry like:

References:

Cloud Storage Documentation

gsutil Documentation

To evaluate Google Cloud Platform (GCP) for PCI compliance and identify Google's inherent controls, you should review the "Google Cloud Platform: Customer Responsibility Matrix". This document provides detailed information about the shared responsibility model, outlining the security controls managed by Google and those that are the responsibility of the customer.

Steps to access and use the document:

Access the Document:

Go to the Google Cloud compliance resource center.

Locate the "Customer Responsibility Matrix" for PCI DSS compliance.

Review Inherent Controls:

The document lists various controls and specifies whether they are managed by Google, the customer, or both.

It covers different aspects such as infrastructure security, data protection, and compliance requirements.

Analyze PCI Compliance:

Use the matrix to understand which PCI DSS requirements are inherently addressed by Google Cloud.

Identify the controls you need to implement and manage as a customer to ensure full compliance.

By reviewing this document, you can gain a comprehensive understanding of the inherent controls provided by Google Cloud and the responsibilities you must fulfill to achieve PCI compliance.

References:

Google Cloud Compliance Documentation

PCI DSS Compliance on Google Cloud

”This encryption method is reversible, which helps to maintain referential integrity across your database and has no character-set limitations.” https://cloud.google.com/blog/products/identity-security/take-charge-of-your-data-how-tokenization-makes-data-usable-without-sacrificing-privacy

https://cloud.google.com/dlp/docs/pseudonymization

FPE provides fewer security guarantees compared to other deterministic encryption methods such as AES-SIV. For these reasons, Google strongly recommends using deterministic encryption with AES-SIV instead of FPE for all security sensitive use cases. Other methods like deterministic encryption using AES-SIV provide these stronger security guarantees and are recommended for tokenization use cases unless length and character set preservation are strict requirements—for example, for backward compatibility with a legacy data system.

To monitor and get notified in case the script causing the Compute Engine instance to crash is executed again, you should create an Alerting Policy in Stackdriver (now known as Google Cloud Monitoring). The Process Health condition can be set to monitor the number of executions of the script and ensure it remains below the desired threshold. By enabling notifications, you will be alerted if this threshold is exceeded.

Step-by-Step:

Log Script Executions: Ensure that the script execution is logged.

Create a User-Defined Metric: Go to Google Cloud Console > Logging > Logs-based Metrics, and create a new user-defined metric that counts the number of times the script executes.

Set Up Alerting Policy:

Navigate to Google Cloud Console > Monitoring > Alerting.

Click on “Create Policy”.

Add a condition and select “Logs-based Metric”.

Configure the condition to trigger when the number of script executions exceeds the threshold.

Configure Notifications: Add notification channels (email, SMS, etc.) to the alerting policy.

Save and Test: Save the policy and test to ensure notifications are received when the script is executed beyond the threshold.

References:

Google Cloud Logging User-defined Metrics

Google Cloud Monitoring Alerting Policies

Admin activity logs are always created to log entries for API calls or other actions that modify the configuration or metadata of resources. For example, these logs record when users create VM instances or change Identity and Access Management permissions.

Use Cryptographic Verification If there is a risk of IAP being turned off or bypassed, your app can check to make sure the identity information it receives is valid. This uses a third web request header added by IAP, called X-Goog-IAP-JWT-Assertion. The value of the header is a cryptographically signed object that also contains the user identity data. Your application can verify the digital signature and use the data provided in this object to be certain that it was provided by IAP without alteration.

To meet the requirements of encrypted communication over private IP addresses between Compute Engine instances in different Google Cloud organizations, a Cloud VPN connection is appropriate:

Cloud VPN: Cloud VPN creates a secure, encrypted tunnel between your organization's VPC network and the third party's VPC network. This ensures that data transmitted over the network is encrypted and secure.

Private IP Communication: Cloud VPN allows communication over private IP addresses, which helps maintain security by keeping traffic within the Google Cloud network and not exposing it to the public internet.

Firewall Rules: VPC firewall rules can be configured to control the traffic that flows through the VPN, ensuring that only authorized traffic is allowed, further enhancing security.

By setting up a Cloud VPN connection, you can achieve secure, encrypted communication over private IP addresses between different Google Cloud organizations.

References

Cloud VPN Overview

Multiple network interfaces. The simplest way to connect multiple VPC networks through a virtual appliance is by using multiple network interfaces, with each interface connecting to one of the VPC networks. Internet and on-premises connectivity is provided over one or two separate network interfaces. With many NGFW products, internet connectivity is connected through an interface marked as untrusted in the NGFW software.

https://cloud.google.com/architecture/best-practices-vpc-design#l7

This architecture has multiple VPC networks that are bridged by an L7 next-generation firewall (NGFW) appliance, which functions as a multi-NIC bridge between VPC networks. An untrusted, outside VPC network is introduced to terminate hybrid interconnects and internet-based connections that terminate on the outside leg of the L7 NGFW for inspection. There are many variations on this design, but the key principle is to filter traffic through the firewall before the traffic reaches trusted VPC networks.

https://cloud.google.com/load-balancing/docs/ssl - SSL Proxy Load Balancing is a reverse proxy load balancer that distributes SSL traffic coming from the internet to virtual machine (VM) instances in your Google Cloud VPC network.

Objective: Store and retrieve sensitive configuration data for an application running on Compute Engine.

Solution: Use Secret Manager to securely store and manage access to sensitive configuration data.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the Secret Manager section.

Step 3: Create a new secret and add the sensitive configuration data.

Step 4: Set appropriate IAM policies to control access to the secret.

Step 5: Update the application to retrieve the secret from Secret Manager using the appropriate client libraries or APIs.

Secret Manager provides a secure and centralized way to manage sensitive information, with fine-grained access control and audit logging capabilities.

References:

Secret Manager Documentation

Storing and Accessing Secrets

With Google Cloud Directory Sync (GCDS), you can synchronize the data in your Google Account with your Microsoft Active Directory or LDAP server. GCDS doesn't migrate any content (such as email messages, calendar events, or files) to your Google Account. You use GCDS to synchronize your Google users, groups, and shared contacts to match the information in your LDAP server.

https://support.google.com/a/answer/106368?hl=en

Objective: Provide evidence of access reviews for an upcoming audit.

Solution: Use Policy Analyzer to review and report on IAM policies.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the Policy Analyzer tool.

Step 3: Select the project for which you need to review access policies.

Step 4: Use the tool to generate reports on IAM roles and permissions.

Step 5: Export the reports as evidence for the audit.

Policy Analyzer provides detailed insights into IAM policies, helping you to review access configurations and generate necessary reports for compliance and auditing purposes.

References:

Policy Analyzer Documentation

https://cloud.google.com/network-intelligence-center/docs/firewall-insights/concepts/overview#shadowed-firewall-rules

Firewall Insights analyzes your firewall rules to detect firewall rules that are shadowed by other rules. A shadowed rule is a firewall rule that has all of its relevant attributes, such as its IP address and port ranges, overlapped by attributes from one or more rules with higher or equal priority, called shadowing rules.

Cloud DNS with DNSSEC (Domain Name System Security Extensions) provides authentication for DNS responses, ensuring that they are legitimate and have not been tampered with. DNSSEC helps protect against DNS spoofing and cache poisoning attacks, which are common techniques used in DDoS attacks.

Steps:

Enable DNSSEC: In the Google Cloud Console, navigate to Cloud DNS and enable DNSSEC for your managed zones.

Configure Key Signing: Set up key signing keys (KSK) and zone signing keys (ZSK) to sign your DNS records.

Monitor DNSSEC Status: Regularly monitor the DNSSEC status and logs to ensure it is functioning correctly.

References:

Cloud DNS documentation

To provide temporary write access to a Cloud Storage bucket with the minimum permissions necessary, you should:

Identify the Compute Engine instance’s default service account: Each Compute Engine instance has a default service account that is used to interact with other Google Cloud services.

Assign the storage.objectCreator role: This predefined IAM role grants permissions to create objects in a Cloud Storage bucket, which is sufficient for temporary write access. It does not grant permissions to read or delete objects, thus adhering to the principle of least privilege.

Avoid using full permissions or long-lived keys: Options A and C suggest using broader permissions than necessary or embedding long-lived keys, which could pose a security risk if compromised.

Service account impersonation (Option D) is not necessary for this task and would be more appropriate for scenarios where you need to assume a different identity with different permissions.

References:

Google Cloud documentation on IAM roles for Cloud Storage, which lists the storage.objectCreator role as providing permissions to create objects without granting full administrative access to the bucket1.

Best practices for access control in Cloud Storage recommend using the least privilege necessary and avoiding the use of long-lived service account keys2.

Enable VPC Service Controls:

VPC Service Controls help mitigate the risk of data exfiltration by allowing you to define a security perimeter around GCP resources.

Set up a service perimeter around your BigQuery project to restrict data access to within the defined perimeter.

Create Access Levels:

In the Google Cloud Console, navigate to the Access Context Manager.

Define access levels based on IP address conditions, specifying the authorized source IP addresses that are allowed to access your BigQuery resources.

These access levels are used to enforce policies that restrict who can access your sensitive data based on their IP addresses.

Apply Service Perimeter with Access Levels:

Apply the created access levels to the service perimeter to ensure that only requests originating from the specified IP addresses are able to access BigQuery tables.

This setup ensures that the sensitive PII data is not accessible from unauthorized IP addresses, reducing the risk of data exfiltration.

References:

VPC Service Controls

Access Context Manager

Defining Access Levels

To delegate management of access control permissions to each business unit effectively, organizing projects into folders and assigning permissions to Google groups at the folder level allows for scalable and manageable access control. Using Google Cloud Directory Sync (GCDS) to synchronize users and groups from the on-premises directory service ensures that access controls are maintained and updated automatically as users change roles or leave the company.

Steps:

Organize Projects in Folders: Create a folder structure in the Google Cloud Resource Manager to organize projects by business unit.

Assign Permissions to Google Groups: Use IAM to assign necessary permissions to Google Groups at the folder level, ensuring each business unit can manage access controls for their own projects.

Synchronize Users and Groups: Use GCDS to sync users and group memberships from your on-premises directory service to Google Cloud Identity, ensuring that changes in the on-premises directory are reflected in Google Cloud.

References:

Google Cloud Resource Manager

Google Cloud Directory Sync

To comply with FIPS 140-2 for the messaging app, you need to ensure that both data at rest and data in transit are encrypted according to the standard. Using customer-managed encryption keys (CMEK) ensures that you have control over the encryption keys, and BoringSSL is a library that meets FIPS 140-2 standards for encrypting data in transit.

Steps:

Encrypt Local SSDs: Modify the instance template for the Managed Instance Group (MIG) to use customer-managed encryption keys (CMEK) for encrypting Local SSDs.

Enable BoringSSL: Update the application to use the BoringSSL library for all instance-to-instance communication to ensure that all data in transit is encrypted according to FIPS 140-2 standards.

References:

Google Cloud: Customer-managed encryption keys (CMEK)

BoringSSL documentation

VPC Peering is between organizations not between Projects in an organization. That is Shared VPC. In this case, both projects are in same organization so having VPC Service Controls around both projects with necessary rules should be fine.

https://cloud.google.com/vpc-service-controls/docs/overview

App Engine ingress firewall rules are available, but egress rules are not currently available. Per requirements 1.2.1 and 1.3.4, you must ensure that all outbound traffic is authorized. SAQ A-EP and SAQ D–type merchants must provide compensating controls or use a different Google Cloud product. Compute Engine and GKE are the preferred alternatives. https://cloud.google.com/solutions/pci-dss-compliance-in-gcp

Using Identity-Aware Proxy (IAP) for managing SSH access to private VMs ensures secure access control and avoids the need for public IPs. IAP allows you to enforce identity-based access control policies.

Enable IAP: Ensure that IAP is enabled for your project. This can be done via the Google Cloud Console under "Security" -> "Identity-Aware Proxy".

Set Up Firewall Rule: Create a firewall rule to allow SSH traffic from the IAP IP ranges.

Navigate to "VPC network" -> "Firewall".

Create a new rule allowing ingress traffic on port 22 (SSH) from the IAP IP ranges.

Assign IAP-Secured Tunnel User Role: Grant the roles/iap.tunnelResourceAccessor role to the administrators who need SSH access.

Go to "IAM & Admin" -> "IAM".

Assign the IAP-Secured Tunnel User role to the relevant users or groups.

SSH Using IAP: Administrators can now use IAP to SSH into the instances. This can be done using the gcloud command:

gcloud compute ssh [INSTANCE_NAME] --tunnel-through-iap

References:

Using Identity-Aware Proxy for TCP forwarding

Google Cloud Firewall Rules

Physical Token for MFA: Implement multi-factor authentication (MFA) using physical tokens (such as security keys) for super admin accounts. This adds an extra layer of security to the highest privilege accounts.

Non-Privileged Identities: Provide super admins with separate non-privileged accounts for daily activities. This practice minimizes the risk associated with using highly privileged accounts for routine tasks.

Account Management: Ensure that super admin accounts are only used for tasks requiring elevated privileges, reducing exposure to potential security threats. These measures enhance the security of super admin accounts, protecting your Google Cloud organization from unauthorized access. References:

Google Cloud - Best Practices for Securing Cloud Identity

Google Cloud - Using Security Keys

Pseudonymization is a de-identification technique that replaces sensitive data values with cryptographically generated tokens. Pseudonymization is widely used in industries like finance and healthcare to help reduce the risk of data in use, narrow compliance scope, and minimize the exposure of sensitive data to systems while preserving data utility and accuracy.

https://cloud.google.com/dlp/docs/pseudonymization

Enable Dry Run Mode: Start by enabling the dry run mode for your VPC Service Controls perimeter. This mode allows you to test changes without actually enforcing them, thus preventing any disruption to your current setup.

Add Access Level: Add your new access level to the dry run configuration. This way, you can monitor how the new access level would behave and interact with your existing setup without any real impact.

Vetting Process: Carefully vet the new access level by analyzing logs and monitoring the behavior in the dry run mode. Ensure that the new configuration meets your security and operational requirements.

Update Perimeter: Once you are confident that the new access level will not disrupt existing services and meets all requirements, update the actual perimeter configuration with the new access level. This approach minimizes risk by allowing you to test changes before they take effect, ensuring seamless updates with minimal disruption. References:

Google Cloud - Configuring VPC Service Controls

Google Cloud - Using Dry Run Mode

https://cloud.google.com/blog/products/g-suite/7-ways-admins-can-help-secure-accounts-against-phishing-g-suite

https://www.duocircle.com/content/email-security-services/email-security-in-cryptography#:~:text=Customer%20Login-,Email%20Security%20In%20Cryptography%20Is%20One%20Of%20The%20Most,Measures%20To%20Prevent%20Phishing%20Attempts &text=Cybercriminals%20love%20emails%20the%20most,networks%20all%20over%20the%20world.

Enable the compute.restrictXpnProjectLienRemoval organization-level policy constraint:

This constraint prevents users from removing liens from Shared VPC host projects.

By enabling this constraint, you ensure that the Shared VPC host project cannot be accidentally deleted, as liens prevent deletion without proper authorization.

Apply this constraint via the Google Cloud Console or using the gcloud command-line tool.

References:

Organization Policy Constraints

Shared VPC

To comply with the regulation to keep instance logging data within Europe, specifically in the Netherlands (region europe-west4), you need to configure Cloud Logging to ensure that all logs are stored in a specified region. Here are the steps to achieve this:

Create a Cloud Storage Bucket:

Go to the Google Cloud Console.

Navigate to Cloud Storage and create a new bucket.

Set the location type to "Region" and select "europe-west4" as the region.

Configure Log Sink:

Go to the Logging section in the Google Cloud Console.

Create a new log sink and configure it to export logs to the Cloud Storage bucket you just created.

Ensure the sink includes all logs you want to keep within europe-west4.

Verify Configuration:

Ensure that the logs are being exported to the Cloud Storage bucket by checking the contents of the bucket.

This setup ensures that all your logging data remains within the specified region, adhering to compliance requirements.

References

Creating and Managing Log Sinks

Cloud Storage Locations

Compute Engine doesn't automatically update the OS or the software on your deployed instances. You will need to patch or update your deployed Compute Engine instances when necessary. However, in the cloud it is not recommended that you patch or update individual running instances. Instead it is best to patch the image that was used to launch the instance and then replace each affected instance with a new copy.

Objective: Ensure private communication between application tiers in different GCP Organizations.

Solution: Use VPC peering to enable private communication without traversing the public internet.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the VPC Network Peering page.

Step 3: Create a new VPC peering connection in the project hosting the application tier.

Step 4: Specify the VPC network in the other organization (hosting the storage tier) to peer with.

Step 5: Accept the peering request in the other project.

Step 6: Configure the necessary routes and firewall rules to allow traffic between the peered VPC networks.

VPC peering allows you to connect two VPC networks privately and directly, ensuring that traffic between them does not traverse the public internet.

References:

GCP VPC Peering Documentation

VPC Network Peering Guide

To identify all principals who can change firewall rules, you need to determine which users or service accounts have permissions that allow them to modify firewall rules in your Google Cloud project. The correct permissions to check for this are compute.firewalls.create and compute.firewalls.delete. These permissions enable a user to create and delete firewall rules, respectively.

The Policy Analyzer tool in Google Cloud allows you to query and analyze IAM policies to identify which principals have specific permissions. By using Policy Analyzer, you can effectively identify all principals with the compute.firewalls.create and compute.firewalls.delete permissions.

Open Policy Analyzer: Go to the Google Cloud Console, navigate to IAM & Admin, and select Policy Analyzer.

Set Up Query: Create a new query specifying the permissions compute.firewalls.create and compute.firewalls.delete.

Run Query: Execute the query to retrieve a list of principals who have these permissions.

Review Results: Analyze the results to identify all users and service accounts with the capability to modify firewall rules.

This method ensures you have a comprehensive list of all principals who can change firewall rules, enhancing your audit and security posture.

References:

Google Cloud Policy Analyzer Documentation

Google Cloud IAM Documentation

To fulfill the requirements of preserving logs for 12 years and ensuring data residency within European boundaries, the best approach is to use Google Cloud's operations suite (formerly Stackdriver) with a custom log bucket configured in the desired region.

Configure Cloud Logging Agent:

Install and configure the Cloud Logging agent on your Compute Engine instances. This agent collects logs from your application and system and sends them to Google Cloud's operations suite.

Create a Custom Log Bucket:

In the Cloud Logging interface, create a custom log bucket in the EUROPE-WEST1 region. This bucket will store your logs and can be configured with a custom retention period.

Set Custom Retention Policy:

Configure the retention policy for the custom log bucket to 12 years. This ensures that all logs are preserved for the required duration.

Ship Logs to the Custom Log Bucket:

Modify the logging configuration to direct logs from the Cloud Logging agent to the custom log bucket. This can be done through the logging configuration settings in the Cloud Console or by updating the agent configuration files.

This solution minimizes overhead by using managed services and ensures cost-effectiveness by leveraging Cloud Logging's built-in capabilities for log storage and retention management.

References

Cloud Logging Documentation

Creating and Managing Logs Buckets

Google Cloud Storage provides an Object Lifecycle Management feature that can help automate data retention and deletion processes, ensuring compliance with data privacy regulations while minimizing storage costs.

Lifecycle Management: Object Lifecycle Management allows you to define rules that automatically delete objects after a specific period. This ensures that data is only retained for the required amount of time and is deleted once it expires.

Configuration: You can configure lifecycle rules to delete objects based on conditions such as the age of the object, the creation date, or custom metadata. This allows for precise control over the retention period of your data.

Cost Efficiency: By using lifecycle policies to delete data automatically, you can reduce storage costs, as you only pay for the storage you actively use.

References

Cloud Storage Object Lifecycle Management

https://cloud.google.com/vpc/docs/packet-mirroring

Packet Mirroring clones the traffic of specified instances in your Virtual Private Cloud (VPC) network and forwards it for examination. Packet Mirroring captures all traffic and packet data, including payloads and headers.

To prevent developers from creating user-managed service account keys and reduce the risk of key mismanagement, you should enable an organization policy that specifically prohibits the creation of these keys.

Enable an organization policy to prevent service account keys from being created (C):

Google Cloud provides the capability to enforce organizational policies that restrict various actions, including the creation of service account keys. By enabling this policy, you ensure that developers cannot create new user-managed service account keys, thus minimizing the risk of key mismanagement and potential security breaches.

References

Service Accounts documentation

Organization Policy Service documentation

Enable automatic key version rotation on a regular schedule:

Regularly rotating keys reduces the impact of a potentially compromised key by limiting the amount of data encrypted with a single key version.

Set up automatic key rotation in Cloud KMS to ensure keys are rotated without manual intervention.

Limit the number of messages encrypted with each key version:

Reducing the number of messages encrypted with each key version minimizes the potential data exposure in case of a key compromise.

Implement policies to ensure that new key versions are used periodically to limit the usage of each key version.

References:

Cloud KMS Key Rotation

Best Practices for Using Cryptographic Keys

Enable Security Command Center (SCC):

SCC provides centralized visibility and control over your cloud resources' security status.

Ensure that SCC is enabled in your Google Cloud environment.

Configure Virtual Machine Threat Detection (VMTD):

VMTD is part of SCC and specializes in detecting threats within VM instances, such as cryptocurrency mining malware.

Navigate to the SCC settings in the Google Cloud Console.

Activate VMTD:

Enable VMTD for the projects or resources where you want to monitor and detect potential threats.

VMTD uses behavioral analysis to identify anomalies indicative of unauthorized mining activities.

Monitor and Respond to Alerts:

VMTD generates alerts when it detects suspicious activities, such as unauthorized cryptocurrency mining.

Set up appropriate response actions, such as notifications, automatic remediation, or manual investigation, to handle these alerts.

References:

Security Command Center Documentation

Virtual Machine Threat Detection

SSO/SAML Integration: Implement SSO (Single Sign-On) with SAML integration through Cloud Identity to streamline user authentication and lifecycle management. This ensures centralized management of user identities and access.

Predefined Roles: Use predefined roles to provide granular access control. These roles are designed to follow the principle of least privilege, ensuring that users have the minimum necessary permissions to perform their tasks.

User Management: By leveraging SSO/SAML, user provisioning and de-provisioning become more efficient and secure. This integration helps maintain consistent access policies across your organization.

Access Control: Predefined roles reduce the risk of over-permission by offering well-defined access levels, enhancing security and compliance. References:

Google Cloud - SSO with SAML

Google Cloud - IAM Best Practices

https://cloud.google.com/billing/docs/how-to/billing-access#overview-of-cloud-billing-roles-in-cloud-iam

Billing Account Costs Manager (roles/billing.costsManager)

- Manage budgets and view and export cost information of billing accounts (but not pricing information)

Billing Account Viewer (roles/billing.viewer)

- View billing account cost information and transactions.

To ensure least-privilege access and provide necessary permissions to the DevOps team only during a deployment issue, follow these steps:

Create a Service Account:

In your Google Cloud project, create a new service account specifically for the DevOps team.

Assign Limited Permissions:

Grant the service account permissions with only the necessary list/view roles. For instance, you can create a custom IAM role with compute.instances.list and compute.instances.get permissions.

Grant Service Account User Role:

Assign the Service Account User role to the DevOps team members for the created service account. This allows them to act as the service account and use its permissions.

Access Control During Incidents:

During a deployment issue, the DevOps team can temporarily use the service account to access the resources. This ensures they have the least-privilege access required to investigate and resolve the issue.

Automation and Monitoring:

Implement automation to enable and disable the service account access as needed and monitor the usage to ensure compliance with the least-privilege principle.

Benefits:

Security: Limits access to only what is necessary, reducing the risk of unauthorized changes.

Flexibility: Provides necessary access during incidents without granting permanent elevated permissions.

References

Creating and Managing Service Accounts

Service Account User Role

Cloud Identity-Aware Proxy (Cloud IAP) provides a way to control access to your web applications and resources running on Google Cloud. It works by verifying the identity of a user trying to access the application and supports multi-factor authentication (MFA). Cloud IAP can restrict access to users on the corporate network and also supports access over the internet securely.

Steps:

Enable Cloud IAP: In the Google Cloud Console, navigate to the IAP section and enable IAP for your web application.

Configure OAuth Consent Screen: Set up the OAuth consent screen to manage how users grant access.

Set Up Authentication: Use Google Identity Platform to manage users and enable two-factor authentication.

Add Users: Grant users access to the application by adding their identities in the IAP settings.

References:

Google Cloud: Identity-Aware Proxy

Setting up IAP

To handle PII data ingestion and ensure both redaction and re-identification for analytics purposes, you can use Cloud Data Loss Prevention (DLP) with appropriate techniques for masking and encryption.

Cloud Data Loss Prevention (DLP) with Cryptographic Hashing (C):

Use Cloud DLP to apply cryptographic hashing to PII data. Hashing transforms the data into a fixed-length string that is not directly readable, providing a layer of obfuscation. This helps in masking the PII while retaining the ability to verify data integrity.

Cloud Data Loss Prevention (DLP) with Deterministic Encryption using AES-SIV (E):

Apply deterministic encryption using AES-SIV through Cloud DLP. Deterministic encryption ensures that the same input will always produce the same encrypted output, allowing you to re-identify the PII when necessary. This method enables secure encryption while allowing data re-identification for analytics.

By combining these two approaches, you can effectively mask PII for privacy protection and later re-identify it when required for analysis.

References

Cloud Data Loss Prevention Documentation

Data Redaction and Masking Techniques

Configure Binary Authorization:

Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on GKE. It uses attestations to verify the authenticity and integrity of the images.

Enable Binary Authorization in your project through the Google Cloud Console or using the gcloud command-line tool.

Define attestation policies that specify which attestors (trusted entities) must sign off on container images before deployment.

Set Up Attestors:

Create and configure attestors that will sign the container images. This involves generating cryptographic keys and setting up trusted authorities.

Attestors can be configured to sign images based on criteria such as vulnerability scanning results, compliance checks, and other security policies.

Create a Custom Organization Policy Constraint:

Define an organization policy constraint that enforces Binary Authorization across your GKE clusters.

This custom constraint ensures that all clusters in the organization must adhere to the Binary Authorization policy, preventing the deployment of unsigned or unauthorized container images.

Implement and Enforce the Policies:

Apply the Binary Authorization policy and the organization policy constraint to your GKE clusters.

Regularly review and update the policies and attestation rules to align with your security and compliance requirements.

References:

Binary Authorization Documentation

Creating Attestors

Organization Policy Constraints

To enforce access control policies for applications and resources in Google Cloud, the recommended service is Identity-Aware Proxy (IAP).

Identity-Aware Proxy (IAP):

IAP allows you to control access to your applications and resources based on the identity of the user and the context of the request. It integrates with IAM to provide fine-grained access control, ensuring that only authorized users can access specific resources.

IAP helps enforce security policies at the application layer, providing an additional layer of protection beyond traditional network-based security measures.

References

Identity-Aware Proxy documentation

The minimum length for passwords in Cloud Identity can be set to 8 characters. This aligns with common security best practices for password policies, ensuring a basic level of complexity and security.

Step-by-Step:

Access Admin Console: Log in to the Google Admin console.

Navigate to Security Settings: Go to Security > Password Management.

Set Minimum Length: Set the minimum length for passwords to 8 characters.

Save Changes: Save the settings and ensure that all user accounts adhere to the new policy.

References:

Google Cloud Identity Security Settings

Password Policy Best Practices

To use customer-supplied encryption keys (CSEK) for encrypting data on Cloud Storage, follow these steps:

Generate an Encryption Key: Generate a 256-bit AES encryption key. This key should be base64-encoded.

sh

Copy code

openssl rand -base64 32

Upload Object with CSEK: Use the gsutil command-line tool to upload the object to Cloud Storage, specifying the location of the encryption key using the -o option.

gsutil -o "GSUtil:encryption_key=" cp [LOCAL_OBJECT_PATH] gs://[BUCKET_NAME]/

Verify Encryption: After uploading the object, you can verify that it is encrypted using the provided CSEK by checking the object's metadata.

gsutil stat gs://[BUCKET_NAME]/[OBJECT_NAME]

Key Management: Ensure that the encryption key is securely stored and managed. It should not be hard-coded in scripts or applications.

By using the gsutil tool and specifying the encryption key, you ensure that the object is encrypted using the customer-supplied encryption key during the upload process.

References:

Customer-Supplied Encryption Keys (CSEK) Documentation

gsutil Command Line Tool Documentation

Objective: Ensure only front-end Compute Engine instances have public IPs, while others do not.

Solution: Use an organization policy to enforce this requirement.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the Organization Policies page.

Step 3: Create a new policy with the constraint constraints/compute.requireOsLogin (or similar constraint to manage public IPs).

Step 4: Define the conditions to allow public IPs only for the front-end instances.

Step 5: Apply the policy to the organization or specific projects as necessary.

By setting up an organization policy with specific conditions, you can control which instances are allowed to have public IPs based on their role or other attributes.

References:

GCP Organization Policies Documentation

Compute Engine Network Configurations

Dedicated Interconnect provides a high-bandwidth (up to 80 Gbps per connection) and secure connection between your on-premises network and Google Cloud. It ensures reliable and high-speed data transfer, meeting the requirement of at least 50 Gbps bandwidth.

Steps:

Set Up Dedicated Interconnect: Order a Dedicated Interconnect connection through the Google Cloud Console.

Configure VLAN Attachments: Set up VLAN attachments to segment traffic between your on-premises network and Google Cloud.

Establish BGP Sessions: Configure BGP sessions for dynamic routing and failover.

References:

Dedicated Interconnect documentation

"The service evaluates all changes and remote access attempts to detect runtime attacks in near-real time." : https://cloud.google.com/security-command-center/docs/concepts-container-threat-detection-overview This has nothing to do with KNOWN security Vulns in images

Objective: Quickly recover a deleted service account used for data transfers.

Solution: Use the undelete command available in the gcloud command-line tool to recover the service account.

Steps:

Step 1: Open the Cloud Shell in the Google Cloud Console.

Step 2: Run the following command to list the deleted service accounts:

gcloud iam service-accounts list --filter="deleted: true"

Step 3: Identify the name and ID of the deleted service account.

Step 4: Use the undelete command to recover the service account:

gcloud iam service-accounts undelete [SERVICE_ACCOUNT_ID]

Step 5: Verify that the service account has been restored and reassign any necessary permissions.

By using the undelete command, you can quickly restore the service account and resume application functionality without compromising security.

References:

Restoring a Deleted Service Account

gcloud iam service-accounts undelete