How to Label PCI Credit Card Numbers in Google Drive Automatically
Learn how to automatically detect and label credit card numbers (PCI data) in Google Drive using Strac’s real-time DLP engine for classification and compliance monitoring.
Google Drive is used for financial operations, billing workflows, and support documentation; but it does not identify PCI data or label files accordingly. Without classification labels, sensitive card information can be mismanaged, overshared, or improperly retained. PCI DSS requires organizations to identify and track where card numbers exist to control exposure.
Strac provides automated PCI labeling across Google Drive; helping teams classify at scale, track compliance posture, and take appropriate remediation actions.
Google Drive lacks native PCI classification; cannot scan file contents for card numbers; and cannot apply sensitivity labels or metadata tags. This makes it difficult for organizations to know where PCI is stored; what files are at risk; or whether data retention policies are being followed. Even Google's native labels cannot classify content based on PCI-specific rules.
Google Drive lacks:
• PCI-specific classification rules;
• File-level or folder-level labeling;
• Real-time labeling during upload;
• OCR scanning for visual content;
• Compliance dashboards for PCI data;
• Bulk classification or tag automation.
Strac delivers PCI labeling across entire Drive environments using automated scanning and classification.

PCI labeling helps organizations identify sensitive files instantly and track how card data flows across cloud storage environments. Labels make it easy to group PCI files; apply retention rules; escalate remediation; or prevent external sharing.
Strac labels files containing:
• Full credit card numbers (PANs)
• PDFs with cardholder information
• Payment logs
• Billing exports from CRM systems
• Screenshots of checkout pages
• Customer-uploaded receipts
• Images containing printed card numbers
• Embedded card data in spreadsheets
Labels can include:
• “Contains PCI”
• “High Risk: PAN”
• “Sensitive Finance Data”
• “Requires Immediate Remediation”
Labels are also used to trigger:
• Alerts
• Redaction
• Blocking
• Auto-deletion
• Access restrictions
Strac continuously scans Drive using AI, PCI-specific patterns, and OCR for images and PDFs. When a file contains card information, Strac applies a label; updates risk dashboards; and optionally triggers alerts or remediation.
Labeling workflows include:
• Automatic labeling during upload
• Retroactive labeling across historical files
• Folder-level labeling for bulk classification
• Tag-based alerts to Slack, SIEM, or email
• Labels that tie into redaction or deletion workflows
• Datapoint mapping across Drive for PCI audits
These labels create an inventory of all PCI data inside Drive; essential for PCI DSS compliance.

Strac provides accurate PCI labeling using AI, OCR, and context-aware detection. Labels help teams classify high-risk files, comply with PCI DSS requirements, and automate downstream remediation workflows. Unlike native tools, Strac performs continuous scanning and labeling across all Drive surfaces.
Strac offers:
• Real-time PCI classification and tagging
• OCR for scanning complex documents
• Historical PCI data labeling
• Automated workflows tied to labels
• Enterprise risk dashboards
• PCI DSS audit readiness
• Fast deployment without agents

No; Drive cannot detect PCI patterns or apply sensitivity labels.
Yes; OCR supports image-based PCI detection.
Yes; labels can activate automated workflows.
Labeling supports asset tracking and PCI DSS evidence.
Yes; Strac scans and labels files retroactively.
Strac classifies and labels PCI data across Google Drive; enabling you to locate, prioritize, and remediate high-risk files with confidence.
.avif)
.avif)
.avif)
.avif)
.avif)


.gif)

