Professional Cloud Security Engineer
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A security architect is designing a real-time log export architecture to stream telemetry from multiple Google Cloud projects into Google SecOps (Chronicle) for centralized threat detection and compliance auditing. The architecture must minimize operational management overhead, ensure delivery reliability, and strictly enforce authentication on ingested telemetry.
Which sequence of steps should the architect implement to securely deliver logs to Google SecOps?
Create a Cloud Logging sink routing logs to a Cloud Storage bucket, configure an Amazon Data Firehose feed in Google SecOps, generate an API key, and configure Cloud Storage object notifications to push logs to the Firehose endpoint.
Configure a Cloud Logging aggregated sink routing logs to a central Cloud Pub/Sub topic, create a Google Cloud Pub/Sub Push feed in Google SecOps to obtain a feed endpoint URL, and configure a Pub/Sub push subscription targeting that HTTPS endpoint with service account authentication enabled.
Configure a Cloud Logging sink to write logs directly to BigQuery tables, enable scheduled queries to transform logs into OCSF format, and grant the Google SecOps service agent the BigQuery Admin role on the dataset.
Configure a Cloud Logging sink routing logs to a central Cloud Pub/Sub topic, create a Pub/Sub pull subscription, and deploy an unauthenticated Cloud Run service that continuously pulls messages and forwards them using a public Chronicle API key.
Google SecOps (Chronicle) provides native Feeds functionality that allows ingestion of telemetry directly from Google Cloud services. Combining Cloud Logging log sinks, Cloud Pub/Sub, and Google SecOps Feeds establishes a fully managed, serverless, and secure real-time streaming pipeline.
This approach leverages native platform integration and built-in IAM service account token validation, ensuring maximum throughput, minimal latency, and robust transport-layer authentication without additional middleware.
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