Extend Google Cloud Data Protection to Every App and AI Tool
Google Cloud secures data within its own environment, but classification labels do not persist once a file leaves Google Drive, and native controls end at the edge of Google Workspace while sensitive data keeps moving into endpoints, SaaS applications, and AI tools. This datasheet shows how Cyberhaven extends Google Cloud protection with Data Lineage, tracing every labeled file from Google Drive through every app, endpoint, and AI tool, so classification and enforcement travel with the data instead of stopping at Google's edge.
What's inside
Why Google's native controls stop at the edge
Classification labels do not persist once a file leaves Google Drive, so sensitive data loses its label the moment it moves into another application or endpoint.
Security teams have visibility inside Google Workspace and Google Cloud Storage, but lose sight of sensitive data as soon as it reaches Gemini, other AI tools, or unmanaged endpoints.
Agentic AI tools now query, download, and act on labeled data at machine speed, turning any gap between Google's controls and the rest of the environment into an entry point for loss.
Data Lineage extends Google labels across every workflow
Cyberhaven reads Google labels and unifies them with every other classification source under a single console, giving security teams one consistent view of sensitive data.
Data Lineage traces the complete flow of data, capturing where it originated, who has interacted with it, and how it has been modified, even after it leaves Google Drive.
Applying AI Classification to lineage, context, and content achieves higher accuracy than content inspection alone, so Google labels stay meaningful wherever data travels.
One policy framework enforced in real time
Cyberhaven applies data loss prevention (DLP) policies to data classified with Google labels, automatically blocking, warning, or monitoring flows the moment risk appears.
A single policy framework spans Google Workspace, Gmail, Google Cloud Storage, and Gemini, so security teams manage one set of rules instead of one per application.
Cyberhaven Linea AI agents analyze billions of workflows and every piece of labeled data to detect insider risk and agentic AI risk before it becomes loss.