Key Takeaways
- →runred.ai automates the discovery of vulnerabilities by connecting application source code with live GCP infrastructure context, providing contextual severity scoring.
- →The platform generates executable integration tests that first confirm an exploit, then verify the patch closes the vulnerability, preventing regressions.
- →Immutable audit evidence for NIS2, SOC2 Type II, and ISO 27001 is automatically generated and written directly to Cloud Logging, streamlining compliance.
Engineering teams operating on Google Cloud Platform require a clear, actionable **NIS2 Article 21 technical controls checklist** to ensure compliance and mitigate systemic risk. NIS2 Article 21 mandates that organizations implement appropriate and proportionate technical and organizational measures to manage the risks posed to the security of network and information systems. runred.ai connects application source code with live GCP infrastructure context to discover vulnerabilities with contextual severity, automatically generate integration tests to confirm exploits and verify patches, and generate immutable NIS2, SOC2 Type II, and ISO 27001 audit evidence to Cloud Logging. This approach moves beyond theoretical compliance, focusing on verifiable security posture and automated evidence generation.
Automating Vulnerability Discovery and Remediation
Effective NIS2 Article 21 compliance begins with proactive vulnerability management. Your team must continuously identify and address weaknesses in your applications and infrastructure. runred.ai automates this process by analyzing both your application code in Cloud Source Repositories and its runtime context within GCP services like Cloud Run, GKE, or Compute Engine. For instance, if a new critical vulnerability like CVE-2023-49103 (a glibc heap buffer overflow with a CVSS v3.1 score of 7.8) is disclosed, runred.ai can identify affected Cloud Run services where the vulnerable library is present. Instead of relying solely on static analysis or periodic scans, runred.ai generates a specific integration test that attempts to exploit the identified vulnerability. This test, executed within a controlled environment, confirms the exploitability in your specific GCP deployment. Once a patch is applied (e.g., updating the base image in Artifact Registry or modifying application code), the same test is re-run to verify the fix. This ensures the vulnerability is truly closed and prevents regressions. All test results, including the exploit confirmation and patch verification, are automatically recorded as immutable evidence in Cloud Logging, directly addressing NIS2 requirements for security testing and incident handling.Establishing Immutable Audit Trails for NIS2 Article 21 Technical Controls
NIS2 Article 21 mandates robust documentation and evidence of security measures. Manual collection of audit evidence is time-consuming and prone to inconsistencies. runred.ai automates the generation of immutable audit evidence for your technical controls. Every security test, vulnerability discovery, exploit confirmation, and patch verification is logged with detailed metadata, including timestamps, affected resources (e.g., `projects/my-gcp-project/regions/us-central1/services/my-cloud-run-service`), and the specific control it addresses. For example, if your team implements an IAM policy change to restrict `compute.instances.setIamPolicy` permissions to a specific security group, runred.ai can verify this control's effectiveness by attempting an unauthorized permission change and logging the denial. This verifiable action, along with the associated policy (`gcloud organizations get-policy organizations/123456789 --constraint constraints/iam.disableServiceAccountKeyCreation`), becomes part of your continuous audit trail. This automated evidence generation directly supports NIS2 requirements for security policies, incident handling, and testing, providing a verifiable record for auditors without manual intervention. This ensures that your compliance posture is not just declared, but demonstrably proven through continuous, automated validation.Securing the Software Supply Chain on GCP
The security of your software supply chain is a critical component of NIS2 Article 21. Your team must ensure the integrity and security of components throughout the development and deployment lifecycle. runred.ai integrates with GCP services like Cloud Build, Artifact Registry, and Binary Authorization to enforce and verify supply chain security controls. For instance, runred.ai can confirm that only container images signed by an authorized attestor are deployed to your GKE clusters, preventing the introduction of untrusted code. When a new image is pushed to Artifact Registry, runred.ai can trigger a scan via Container Analysis to detect known vulnerabilities (e.g., `CVE-2023-28432` in MinIO). If a critical vulnerability is found, runred.ai can automatically block its deployment through Binary Authorization policies and generate an incident record. Furthermore, it can verify that your Cloud Build pipelines are configured to use specific, hardened base images and that `gcloud builds submit` commands adhere to security best practices, such as not exposing sensitive credentials. This continuous validation of your software supply chain, from source code to production deployment, provides concrete evidence of your adherence to NIS2 Article 21's requirements for secure acquisition, development, and maintenance of network and information systems.Frequently Asked Questions
How does runred.ai specifically help with NIS2 incident handling requirements?
runred.ai automates the detection of vulnerabilities and confirms their exploitability, generating detailed logs in Cloud Logging. This provides immediate, verifiable data for incident response teams, streamlining the initial assessment and root cause analysis required by NIS2 for timely incident reporting.
Can runred.ai integrate with our existing GCP Security Command Center findings?
Yes, runred.ai complements Security Command Center by taking its findings (e.g., misconfigurations, vulnerable assets) and generating actionable exploit tests. It then verifies the remediation, providing a closed-loop validation process that goes beyond static reporting to confirm real-world risk reduction.
What level of detail does runred.ai provide for audit evidence related to NIS2 Article 21?
runred.ai generates immutable audit logs in Cloud Logging for every security test, exploit attempt, and patch verification. These logs include specific resource identifiers (e.g., `projects/my-project/zones/us-east1-b/instances/my-vm`), CVEs, CVSS scores, and the exact outcome of the test, providing granular, verifiable evidence for NIS2 compliance.