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What security features does Snowpark offer to protect sensitive data during processing?

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What security features does Snowpark offer to ensure the protection of sensitive data during processing?

Daniel Steinhold Asked question September 6, 2023

Here are some security features that are typically offered by Snowflake and, by extension, Snowpark:

  1. Encryption at Rest and in Transit: Snowflake encrypts data both at rest and in transit. Data is encrypted using industry-standard encryption algorithms to safeguard it from unauthorized access during storage and transfer.
  2. Role-Based Access Control (RBAC): Snowflake enforces RBAC, allowing you to control who can access, view, and modify data. This fine-grained access control helps restrict data access to authorized personnel.
  3. Multi-Factor Authentication (MFA): Snowflake supports MFA for user authentication, adding an extra layer of security to prevent unauthorized access to your account.
  4. Audit Logging and Monitoring: Snowflake logs all activities related to data access, modifications, and queries. This audit trail helps you track and review actions taken within the system.
  5. Data Masking: Snowflake provides data masking capabilities, allowing you to define policies that mask sensitive data in query results for users without the appropriate privileges.
  6. Secure Data Sharing: Snowflake enables secure sharing of data across organizations using data sharing features that allow you to control access to shared data and limit exposure to sensitive information.
  7. Token-Based Authentication: Snowflake supports token-based authentication, allowing you to generate short-lived tokens for authentication instead of using long-lived credentials.
  8. VPC Peering and PrivateLink: Snowflake allows you to establish Virtual Private Cloud (VPC) peering and use AWS PrivateLink to connect to Snowflake resources securely over private networks.
  9. IP Whitelisting: You can restrict access to Snowflake resources by configuring IP whitelists, allowing connections only from specified IP addresses.
  10. Data Classification and Labeling: Snowflake supports data classification and labeling, allowing you to tag and classify sensitive data, which can help in applying appropriate security controls.
  11. Compliance Certifications: Snowflake undergoes regular audits and certifications to comply with industry standards and regulations, such as SOC 2, GDPR, HIPAA, and more.
Daniel Steinhold Changed status to publish September 6, 2023
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