As AI-native infrastructure scales across enterprises, cloud attack surfaces are expanding faster than most organizations can secure them. In 2026, Google Cloud environments are no longer limited to virtual machines and storage buckets. Modern deployments now include AI pipelines, Kubernetes clusters, serverless workloads, multi-cloud integrations, IAM automation, and third-party APIs operating at massive scale. This shift has made Google Cloud penetration testing one of the most critical cybersecurity priorities for businesses handling sensitive workloads, regulated data, and enterprise applications. Organizations are increasingly discovering that traditional vulnerability scanning is not enough. Misconfigured IAM permissions, exposed APIs, insecure Kubernetes deployments, weak service accounts, and improperly isolated workloads are now among the most exploited weaknesses in Google Cloud Platform (GCP) environments.…