Companies incur costs of USD 6.08 million<\/a> due to data breaches, which is 22% higher than the global average.<\/p>\nShared Responsibility:<\/b>\n Cloud providers secure infrastructure; you secure data, configurations, and access.<\/p>\nCore Pillars:<\/b>\n GDPR, HIPAA, SOC 2, PCI-DSS\u2014your warehouse must meet them all.<\/p>\nBest Fit:<\/b>\n Organizations storing PII, financial data, or regulated information in Snowflake, Redshift, or BigQuery.<\/p>\n<\/div>\n\n\n\n Think of the shared responsibility model like renting an apartment. <\/p>\n\n\n\n Your landlord (the cloud provider) maintains the building’s structure, electrical systems, and common areas. But if you leave your front door unlocked, that’s on you.<\/p>\n\n\n\n Cloud providers like AWS, GCP, and Snowflake handle the underlying infrastructure: physical data centers, hypervisors, and network backbone. <\/p>\n\n\n\n Your job is to secure the data itself, user access, configurations, and application-level controls.<\/p>\n\n\n\n The Ticketmaster breach in May 2024<\/a> is Exhibit A. Snowflake’s infrastructure wasn’t compromised. Customers who skipped MFA were. <\/p>\n\n\n\n The platform provided security capabilities. Those capabilities just weren’t turned on.<\/p>\n\n\n \t <\/p>\n <\/p>\n \t\t\t<\/div>\n \t\t\t \t\t<\/div>\n \t<\/section>\n \n\n\n\n Data security in cloud data warehouses is a layered defense built on four pillars that work together. <\/p>\n\n\n\n IAM controls who can access your warehouse and what actions they can perform. Compromised credentials are one of the most common attack vectors that cost companies millions.<\/p>\n\n\n\n Key components of IAM:<\/strong><\/p>\n\n\n\n Grant only the minimum permissions required for each role. If an analyst only needs to read sales data, they shouldn’t have write access to finance tables.<\/p>\n\n\n\n Multi-Factor Authentication (MFA) is a security method that requires users to verify their identity using two or more independent factors. This is non-negotiable. The Snowflake breaches proved what happens when you skip this step.<\/p>\n\n\n\n Integrate with enterprise identity providers (Okta, Azure AD) for centralized control and audit trails.<\/p>\n\n\n\n Revoke dormant accounts within 30 days of inactivity. Attackers love stale credentials.<\/p>\n\n\n \t <\/p>\n <\/p>\n \t\t\t<\/div>\n \t\t\t \t\t<\/div>\n \t<\/section>\n \n\n\n\n Encryption ensures that even if attackers breach your perimeter, the data they grab is unreadable without the keys.<\/p>\n\n\n\n Three main components of data encryption include: <\/strong><\/p>\n\n\n\n Data stored on disks is encrypted using AES-256 by default in Snowflake, Redshift, and BigQuery. For additional control, use Customer-Managed Keys (CMEK) via Cloud HSM.<\/p>\n\n\n\n TLS 1.2+ encrypts data moving between the warehouse and client applications. No exceptions.<\/p>\n\n\n\n Rotate keys regularly using AWS KMS, Google Cloud HSM, or Azure Key Vault. An AWS data analytics<\/a> expert can help you stay on top of this.<\/p>\n\n\n\n And don’t forget staging areas, logs, and backups. Encryption gaps are common attack vectors.<\/p>\n\n\n\n Network security isolates your data warehouse from the public internet and controls who can reach it in the first place.<\/p>\n\n\n\n Here are the core elements included in network security:<\/p>\n\n\n\n <\/p>\n <\/p>\n<\/div>\n<\/div>\n<\/section>\n\n\n\n Granular access control restricts what specific users can see within tables, not just whether they can access the table at all.<\/p>\n\n\n\n There are two types of control:<\/p>\n\n\n\n Limits on which rows a user can access based on their attributes. A regional sales manager sees only their region’s data; the CFO sees everything.<\/p>\n\n\n\n Masks or hides sensitive columns (SSNs, credit card numbers) from unauthorized users. An analyst can query customer behavior without ever seeing payment details.<\/p>\n\n\n \t <\/p>\n <\/p>\n \t\t\t<\/div>\n \t\t\t \t\t<\/div>\n \t<\/section>\n \n\n\n\n Security without visibility is just hope. Monitoring and governance transform your warehouse from a black box into an auditable, responsive system.<\/p>\n\n\n\n Here\u2019s what you should do to keep your data warehouse security airtight:<\/p>\n\n\n\n Modern cloud data warehouse solutions<\/a> automatically log every query, login attempt, and access event.<\/p>\n\n\n\n This data is essential for compliance audits (SOC 2, HIPAA) and detecting suspicious behavior before it becomes a breach.<\/p>\n\n\n\n Integrate your warehouse logs with SIEM (Security Information and Event Management) tools like Splunk or Sumo Logic for real-time alerting. <\/p>\n\n\n\n When an admin suddenly logs in from a new country at 3 AM, you want to know immediately (not three weeks later during an incident review).<\/p>\n\n\n\n For platform-specific logging: <\/strong><\/p>\n\n\n\n <\/p>\n <\/p>\n \t\t\t<\/div>\n \t\t\t \t\t<\/div>\n \t<\/section>\n \n\n\n\n Automated data classification identifies and tags sensitive data (PII, PHI, financial records) so you can apply stricter protection policies without manual overhead.<\/p>\n\n\n\n Tools like Google Cloud DLP, AWS Macie, and Snowflake’s automatic data classification scan your warehouse and flag sensitive columns. <\/p>\n\n\n\n Once classified, you can enforce policies like automatically masking PII columns for non-privileged users.<\/p>\n\n\n \t <\/p>\n <\/p>\n \t\t\t<\/div>\n \t\t\t \t\t<\/div>\n \t<\/section>\n \n\n\n\n When you opt for professional data warehousing services,<\/a> your DWH includes built-in disaster recovery features. However, understanding and testing them is also your responsibility.<\/p>\n\n\n\n Here\u2019s what you should do for each platform:<\/p>\n\n\n\n Time Travel (up to 90 days of point-in-time recovery) + Fail-safe for additional protection<\/p>\n\n\n\n Automated snapshots with cross-region replication<\/p>\n\n\n\n Built-in redundancy with automatic geo-replication<\/p>\n\n\n\n Test your recovery procedures quarterly. Backups are worthless if you discover they can’t be restored during an actual incident.<\/p>\n\n\n\n Compliance helps in proving to regulators, auditors, and customers that you take data protection seriously. <\/p>\n\n\n\n Your cloud data warehouse needs to meet the standards relevant to your industry.<\/p>\n\n\n\n\n
Shared Responsibility Model for Cloud Data Warehouse Security<\/strong><\/h2>\n\n\n\n
What are the Core Pillars of Data Security in Cloud Data Warehouses?<\/h2>\n\n\n\n
![\"Core](\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2024\/04\/Core-pillars-of-Data-security-in-cloud-data-warehouses.webp\" "\\"Core")
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\n\u2014 Head of Cloud Security, Aegis Softtech<\/div>\n2. Data Encryption<\/h3>\n\n\n\n
![\"An](\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2024\/04\/An-infographic-on-the-key-components-of-data-encryption-in-cloud-data-warehouse.webp\" "\\"An")
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3. Network Security<\/strong><\/h3>\n\n\n\n
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4. Granular Access Control<\/h3>\n\n\n\n
![\"A](\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2024\/04\/A-visualization-of-how-RLS-and-CLS-work-in-different-scenarios-for-cloud-data-warehouse-security.webp\" "\\"A")
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How Do You Monitor and Govern Data Warehouse Security?<\/strong><\/h2>\n\n\n\n
Auditing and Logging<\/strong><\/h3>\n\n\n\n
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\n\u2014 Lead Data Architect, Aegis Softtech<\/div>\nData Classification and Tagging<\/strong><\/h3>\n\n\n\n
Disaster Recovery and Backup<\/strong><\/h3>\n\n\n\n
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What Are the Compliance Standards for Cloud Data Warehouses?<\/strong><\/h2>\n\n\n\n
![\"Common](\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2024\/04\/Common-security-risks-in-cloud-data-warehouses-include-misconfiguration.webp\" "\\"Common")
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