Streamlining SOC2 CC6.8 Automated Evidence on GCP

The Challenge of SOC2 CC6.8 Compliance on GCP

For engineering teams operating production workloads on Google Cloud Platform, achieving and maintaining SOC2 Type II compliance, specifically control CC6.8, presents a significant challenge. CC6.8 mandates robust change management processes, requiring evidence that all changes to infrastructure, data, and software are authorized, tested, and properly implemented. Manually correlating source code commits, CI/CD pipeline executions, and GCP resource modifications across multiple projects and environments is time-consuming and prone to error. runred.ai is an automated AppSec & compliance framework built natively on Google Cloud Platform that connects application source code with live GCP infrastructure context to discover vulnerabilities, generate integration tests, and produce immutable audit evidence. This integration provides a direct path to achieving **SOC2 CC6.8 automated evidence GCP** by linking every code change to its infrastructure impact.

Connecting Code Changes to GCP Infrastructure State

Effective change management under SOC2 CC6.8 requires a clear, auditable link between a developer's intent (expressed in code) and the resulting state of the production environment. On GCP, this involves tracking changes from Cloud Source Repositories through Cloud Build and Cloud Deploy pipelines to services like GKE, Cloud Functions, or Cloud SQL. Consider a scenario where a developer commits a change to `main` branch, modifying a `kubernetes/deployment.yaml` file. This commit triggers a Cloud Build pipeline, identified by a unique `BUILD_ID`, which then deploys the updated manifest via Cloud Deploy. The challenge is to immutably record that specific Git SHA, the `BUILD_ID`, the Cloud Deploy `release_id`, and the subsequent GCP API calls (e.g., `kubernetes.io/v1.Deployment.update` or `compute.instances.update`) that modify the infrastructure. runred.ai ingests these events, establishing a verifiable chain of custody. For example, a change to a Cloud Function's `index.js` file, committed with Git SHA `a1b2c3d4e5f6`, will be linked to the Cloud Build execution that packages and deploys it, and subsequently to the `cloudfunctions.functions.update` API call logged in Cloud Logging. This granular tracking ensures that every infrastructure modification can be traced back to its originating source code change and the authorized pipeline that executed it.

Automating Change Management Verification and Evidence on GCP

Meeting SOC2 CC6.8 requires not just tracking changes, but also verifying that they followed established procedures. This includes authorization, testing, and approval. runred.ai automates this verification by integrating directly with your GCP environment and CI/CD pipelines. For instance, if your policy dictates that all production deployments must originate from a specific Cloud Deploy pipeline with a `roles/clouddeploy.releaser` service account, runred.ai can automatically confirm this. It cross-references the `protoPayload.authenticationInfo.principalEmail` in Cloud Logging entries for `clouddeploy.releases.create` against your defined policy. If a change is detected that bypasses the approved pipeline – for example, a manual `gcloud compute instances update` executed by an unauthorized user – runred.ai flags this as a policy violation and generates an alert. All such verifications, including successful adherence to policy and detected deviations, are written as immutable audit evidence to Cloud Logging. This ensures that when an auditor requests proof of your change management controls, your team can provide a complete, non-repudiable log of every change, its authorization, and its deployment path, directly from GCP's native logging infrastructure. This provides comprehensive **SOC2 CC6.8 automated evidence GCP** teams can rely on.

Immutable Audit Trails for Continuous Compliance

The core of runred.ai's compliance automation for SOC2 CC6.8 lies in its use of Cloud Logging as an immutable audit trail. Every event, from source code commit metadata to GCP API calls and runred.ai's own verification findings, is written to Cloud Logging with specific `logName` and `resource.type` attributes. This approach leverages Cloud Logging's inherent immutability and retention policies, ensuring that once an entry is written, it cannot be altered or deleted. For auditors, this provides a highly trustworthy record. Your team can demonstrate compliance by simply querying Cloud Logging for specific events, such as all `compute.instances.insert` operations linked to a specific Git SHA, or all `kubernetes.io/v1.Deployment.update` events that passed through a specific Cloud Build trigger. For example, to demonstrate that a specific application update (e.g., CVE-2023-45678 patch) was deployed to a GKE cluster, your team can query: `gcloud logging read 'resource.type="k8s_cluster" AND protoPayload.methodName="kubernetes.io/v1.Deployment.update" AND jsonPayload.runred_git_sha="a1b2c3d4e5f6"' --project=your-gcp-project` This query directly retrieves the immutable log entries confirming the deployment, linking it back to the specific code change that addressed the vulnerability. This level of granular, verifiable evidence significantly reduces the burden of audit preparation and provides continuous assurance of compliance with SOC2 CC6.8.