Prevention-First Cybersecurity to Protect Your GCP Storage Data

Google Cloud Platform (GCP) Storage provides scalable storage that is crucial for core business processes but contains crucial vulnerabilities. Explore the following reference architecture guide to learn how integration works and how our prevention-first, deep-learning solution can be implemented using Deep Instinct’s scalable, lightweight framework.


Unseen security gaps in your storage perimeter

While Google protects your cloud environment, it doesn’t protect your files. Bad actors target Google Cloud Storage Buckets through file uploads and cross-application file exchange. Organizations need new and more effective ways to stop malware before it impacts applications, employees, users, and other systems.


Predictive prevention using deep learning

Custom applications and cloud file storage hosted on GCP don’t come with the native ability to scan files prior to upload. While third-party security applications can be utilized via Cloud Functions, they cannot operate at scale and incur high compute costs. Securing heavily utilized Google Cloud Storage Buckets quickly becomes costly, and user experience suffers. The Deep Instinct Predictive Prevention Platform provides a fast, efficient, and effective mechanism to scan files uploaded to GCP.


GCP and Deep Instinct integration

Deep Instinct prevents malicious files from reaching your Google Cloud Storage buckets, ensuring file integrity and securing access to vital assets.


Interested in learning more about preventing threats from ever reaching your Google Cloud Platform storage environment?

Request a demo and we'll also send you the full integration guide.