Snowflake PCI Data Exposure Remediation

Learn how to fix exposed PCI data in Snowflake environments. Follow step-by-step guidance for PCI-DSS compliance and data protection.

Why It Matters

When PCI data exposure is detected in your Snowflake environment, immediate remediation is critical to prevent financial penalties and maintain payment processing privileges. This guide provides systematic approaches to secure exposed cardholder data, implement proper access controls, and establish ongoing protection mechanisms that meet PCI-DSS requirements.

Primary Risk: Data exposure of payment card information

Relevant Regulation: PCI-DSS Payment Card Industry Data Security Standard

Swift remediation minimizes compliance violations and protects your organization from potential data breaches that could result in substantial fines and reputational damage.

Prerequisites

Permissions & Roles

  • ACCOUNTADMIN or SECURITYADMIN role
  • OWNERSHIP privileges on affected databases/schemas
  • Ability to create masking policies and row access policies

External Tools

  • Snowflake Web UI or SnowSQL CLI
  • Cyera DSPM platform
  • Incident response documentation

Prior Setup

  • Snowflake account with proper governance
  • Exposed PCI data already identified
  • Security team notification protocols
  • Backup and recovery procedures

Introducing Cyera

Cyera is a modern Data Security Posture Management (DSPM) platform that discovers, classifies, and continuously monitors your sensitive data across cloud services. Using advanced AI and Named Entity Recognition (NER) models, Cyera automatically identifies PCI data patterns in Snowflake, tracks data lineage, and provides real-time remediation guidance to ensure swift compliance with PCI-DSS requirements.

Step-by-Step Guide

1
Assess exposure scope and impact

Review the Cyera findings to understand which tables, views, and shares contain exposed PCI data. Document the scope including data volume, access patterns, and downstream dependencies.

SHOW GRANTS ON TABLE sensitive_schema.cardholder_data;

2
Implement immediate access restrictions

Revoke unnecessary access permissions and restrict table access to authorized personnel only. Create emergency access controls while preparing permanent solutions.

REVOKE SELECT ON TABLE sensitive_schema.cardholder_data FROM PUBLIC;

3
Deploy dynamic data masking policies

Create and apply masking policies to protect PCI data in-place. Configure role-based masking that reveals data only to authorized users while maintaining functionality for others.

CREATE MASKING POLICY pci_mask AS (val string) RETURNS string -> CASE WHEN CURRENT_ROLE() IN ('PCI_ADMIN', 'COMPLIANCE_OFFICER') THEN val ELSE '**** **** **** ' || RIGHT(val, 4) END;

4
Enable comprehensive monitoring and alerting

Configure Cyera's continuous monitoring to track access patterns, detect policy violations, and alert on suspicious activities. Set up automated compliance reporting for ongoing PCI-DSS adherence.

Architecture & Workflow

Snowflake Security Layer

Masking policies, access controls, and encryption

Cyera Monitoring

Continuous scanning and compliance validation

Access Management

Role-based permissions and audit trails

Incident Response

Automated alerts and remediation workflows

Remediation Flow Summary

Detect Exposure Restrict Access Apply Masking Monitor & Alert

Best Practices & Tips

Performance Considerations

  • Test masking policies on non-production first
  • Monitor query performance after applying policies
  • Use column-level security for granular control

Security Best Practices

  • Implement principle of least privilege
  • Regular access reviews and certifications
  • Encrypt data at rest and in transit

Common Pitfalls

  • Forgetting to check data shares and clones
  • Overlooking historical query results in cache
  • Not updating downstream applications expecting unmasked data