A security posture lets you define and manage the security status of your cloud assets, including your cloud network and cloud services. You can use a security posture to evaluate your current cloud security against defined benchmarks and maintain the level of security that your organization requires. A security posture helps you detect and mitigate any drift from your defined benchmark. By defining and maintaining a security posture that matches your business's security needs, you can minimize cybersecurity risks to your organization and help prevent attacks from occurring.
In Google Cloud, you can use the security posture service in Security Command Center to define and deploy a security posture, monitor the security status of your Google Cloud resources, and address any drift (or unauthorized change) from your defined posture.
Security posture service overview
The security posture service is a built-in service for the Security Command Center that lets you define, assess, and monitor the overall status of your security in Google Cloud. The security posture service is only available to you if you purchase a subscription of the Security Command Center Premium tier or the Enterprise tier and activate Security Command Center at the organization level.
You can use the security posture service to perform the following:
- Ensure that your workloads conform to security standards, compliance regulations, and your organization's custom security requirements.
- Apply your security controls to Google Cloud projects, folders, or organizations before you deploy any workloads.
- Continuously monitor for and resolve any drift from your defined security controls.
The security posture service is automatically enabled when you activate Security Command Center at the organization level.
Security posture service components
The security posture service includes the following components:
- Posture: One or more policy sets that enforce the preventative and detective controls that your organization requires to meet its security standard. You can deploy postures at the organization level, folder level, or project level. For a list of posture templates, see Predefined posture templates.
- Policy sets: A set of security requirements and associated controls in Google Cloud. Typically, a policy set consists of all the policies that let you meet the requirements of a particular security standard or compliance regulation.
Policy: A particular constraint or restriction that controls or monitors the behavior of resources in Google Cloud. Policies can be preventative (for example, organization policy constraints) or detective (for example, Security Health Analytics detectors). Supported policies are the following:
Organization Policy constraints, including custom constraints
Security Health Analytics detectors, including custom modules
Posture deployment: After you create a posture, you deploy it so that you can apply the posture to the organization, folders, or projects that you want to manage using the posture.
The following diagram shows the components of an example security posture.
Predefined posture templates
The security posture service includes predefined posture templates that adhere to a compliance standard or to a Google-recommended standard like the enterprise foundations blueprint recommendations. You can use these templates to create security postures that apply to your business. The following table describes the posture templates.
| Posture template | Template name | Description |
|---|---|---|
secure_by_default_essential |
This template implements the policies that help prevent common misconfigurations and common security issues caused by default settings. You can deploy this template without making any changes to it. |
|
secure_by_default_extended |
This template implements the policies that help prevent common misconfigurations and common security issues caused by default settings. Before you deploy this template, you must customize it to match your environment. |
|
secure_ai_essential |
This template implements policies that help you secure Gemini and Vertex AI workloads. You can deploy this template without making any changes to it. |
|
secure_ai_extended |
This template implements policies that help you secure Gemini and Vertex AI workloads. Before you deploy this template, you must customize it to match your environment. |
|
big_query_essential |
This template implements policies that help you secure BigQuery. You can deploy this template without making any changes to it. |
|
cloud_storage_essential |
This template implements policies that help you secure Cloud Storage. You can deploy this template without making any changes to it. |
|
cloud_storage_extended |
This template implements policies that help you secure Cloud Storage. Before you deploy this template, you must customize it to match your environment. |
|
vpcsc_essential |
This template implements policies that help you secure VPC Service Controls. You can deploy this template without making any changes to it. |
|
vpcsc_extended |
This template implements policies that help you secure VPC Service Controls. Before you deploy this template, you must customize it to match your environment. |
|
Center for Internet Security (CIS) Google Cloud Computing Platform Benchmark v2.0.0 recommendations |
cis_2_0 |
This template implements policies that help you detect when your Google Cloud environment doesn't align with the CIS Google Cloud Computing Platform Benchmark v2.0.0. You can deploy this template without making any changes to it. |
nist_800_53 |
This template implements policies that help you detect when your Google Cloud environment doesn't align with the National Institute of Standards and Technology (NIST) SP 800-53 standard. You can deploy this template without making any changes to it. |
|
iso_27001 |
This template implements policies that help you detect when your Google Cloud environment doesn't align with the International Organization for Standards (ISO) 27001 standard. You can deploy this template without making any changes to it. |
|
pci_dss_v_3_2_1 |
This template implements policies that help you detect when your Google Cloud environment doesn't align with the Payment Card Industry Data Security Standard (PCI DSS) version 3.2.1 and version 1.0. You can deploy this template without making any changes to it. |
Deploy postures and monitor drift
To enforce a posture with all its policies on a Google Cloud resource, you deploy the posture. You can specify which level of the resource hierarchy (organization, folder, or project) that the posture applies to. You can only deploy one posture to each organization, folder, or project.
Postures are inherited by child folders and projects. Therefore, if you deploy postures at the organization level and at the project level, all the policies within both postures apply to the resources in the project. If there are any differences in policy definitions (for example, a policy is set to Allow at the organization level and to Deny at the project level), the lower-level posture is used by the resources in that project.
As a best practice, we recommend that you deploy a posture at the
organization level that includes policies that can apply to your entire
business. You can then apply more stringent policies to folders or projects that
require them. For example, if you use the enterprise foundations blueprint to set up
your infrastructure, you create certain projects (for example, prj-c-kms) that
are specifically created to contain the encryption keys for all the projects in a
folder. You can use a security posture to set the
constraints/gcp.restrictCmekCryptoKeyProjects
organization policy constraint on the common folder and environment folders
(development, nonproduction, and production) so that all projects only use
keys from the key projects.
After you deploy your posture, you can monitor your environment for any drift from your defined posture. Security Command Center reports instances of drift as findings that you can review, filter, and resolve. In addition, you can export these findings in the same way that you export any other findings from Security Command Center. For more information, see Integration options and Exporting Security Command Center data.
Use security postures with Vertex AI and Gemini
You can use security postures to help you maintain the security for your AI workloads. The security posture service includes the following:
Predefined posture templates that are specific to AI workloads.
A pane on the Overview page that lets you monitor for vulnerabilities that were found by the Security Health Analytics custom modules that apply to AI, and lets you view any drift from the Vertex AI organization policies that are defined in a posture.
Use security posture service with AWS
If you connect Security Command Center Enterprise to AWS for vulnerability detection, the Security Health Analytics service includes built-in detectors that can monitor your AWS environment and create findings.
When you create or modify a posture file, you can include Security Health Analytics detectors that are specific to AWS. You must deploy this posture file at the organization level.
Security posture service limits
The security posture service includes the following limits:
- A maximum of 100 postures in an organization.
- A maximum of 400 policies in a posture.
- A maximum of 1000 posture deployments in an organization.