Snowflake Customer Data Exposure Remediation
Learn how to fix customer data exposures in Snowflake environments. Follow step-by-step guidance for GDPR compliance and data breach remediation.
Why It Matters
The core goal is to rapidly remediate any exposed customer data within your Snowflake environment, ensuring compliance with data protection regulations and preventing potential breaches. Fixing customer data exposures in Snowflake is critical for organizations subject to GDPR, as it helps you demonstrate proper incident response and data protection measures—mitigating the risk of regulatory penalties and reputational damage.
Swift remediation ensures compliance with GDPR's 72-hour breach notification requirements and demonstrates your commitment to protecting customer privacy rights.
Prerequisites
Permissions & Roles
- Snowflake ACCOUNTADMIN or SECURITYADMIN role
- GRANT/REVOKE privileges on affected objects
- Access to system usage views (INFORMATION_SCHEMA)
External Tools
- Snowflake CLI or SnowSQL
- Cyera DSPM platform
- SIEM/logging system integration
Prior Setup
- Snowflake account with proper governance
- Data classification completed
- Incident response plan activated
- Stakeholder notification process ready
Introducing Cyera
Cyera is a modern Data Security Posture Management (DSPM) platform that uses advanced AI-powered named entity recognition (NER) and machine learning models to automatically identify, classify, and track sensitive customer data across your Snowflake environment. By leveraging natural language processing and pattern recognition, Cyera can rapidly pinpoint exposed customer records, assess the scope of exposure, and provide actionable remediation guidance to ensure swift compliance with GDPR requirements.
Step-by-Step Guide
Use Cyera's incident dashboard to identify all tables, views, and shares containing exposed customer data. Document the extent of exposure and affected data subjects for GDPR compliance reporting.
Revoke public access and overly permissive grants immediately. Create temporary restricted access policies while maintaining business continuity for authorized users.
CREATE OR REPLACE ROW ACCESS POLICY customer_data_policy AS (user_role) RETURNS BOOLEAN ->
CURRENT_ROLE() IN ('CUSTOMER_DATA_ANALYST', 'CUSTOMER_SERVICE_MANAGER');
Implement dynamic data masking policies on exposed customer fields. Use Snowflake's masking functions to protect PII while preserving data utility for analytics.
CASE WHEN CURRENT_ROLE() IN ('DATA_PRIVACY_OFFICER') THEN val
ELSE REGEXP_REPLACE(val, '.+@', '*****@') END;
Use Cyera's continuous monitoring to verify that access has been properly restricted and no new exposures have occurred. Generate compliance reports for regulatory authorities and stakeholders.
WHERE OBJECTS_ACCESSED[0].objectName = 'CUSTOMER_DATA'
AND QUERY_START_TIME >= CURRENT_TIMESTAMP - INTERVAL '24 HOURS';
Architecture & Workflow
Snowflake Security Layer
Role-based access control and governance policies
Cyera AI Engine
NER-powered detection and risk assessment
Masking & Encryption
Dynamic data protection and anonymization
Compliance Dashboard
GDPR reporting and audit trails
Remediation Flow Summary
Best Practices & Tips
Incident Response
- Document all remediation steps for audit trail
- Notify stakeholders within required timeframes
- Preserve forensic evidence for investigation
Access Control Recovery
- Implement least-privilege access principles
- Use temporary elevated permissions judiciously
- Review and update role hierarchies regularly
Common Pitfalls
- Failing to check shared databases and secure views
- Over-restricting access and breaking business processes
- Not documenting changes for compliance reporting