my stored procedure best practices checklist

#My stored procedure best practices checklist update#

Use Row-Level Security (RLS) to limit the records that are returned to the user making the call. The security policy also controls the FILTER and BLOCK predicates that are bound to the tables RLS operates against. The business logic is encapsulated within table-valued functions controlled by a security policy that toggles the RLS functionality on and off.

This gives your application 'record level' security without having to make significant changes to your application. RLS ensures that users can only see the record that pertains to them. Row-Level Security (RLS) enables the ability to leverage user execution context in order to control access to rows in a database table. A table-level DENY does not take precedence over a column-level GRANT.

#My stored procedure best practices checklist update#

Only SELECT, REFERENCES, and UPDATE permissions can be granted on a column. You can also GRANT permissions at the column level to a table, view, or table-valued function. Leverage Always Encrypted over dynamic data masking whenever possible. Dynamic Data Masking (DDM) is not compatible with Always Encrypted. Use Dynamic Data Masking (DDM) to obfuscate data at the column level when Always Encrypted is not an available option. Always Encrypted (with enclaves) can improve performance for comparison operations such as BETWEEN, IN, LIKE, DISTINCT, Joins, and more for randomized encryption scenarios.

Use randomized encryption over deterministic where possible. Encrypted data is only decrypted by client libraries at the application client level. Use Always Encrypted to encrypt data at rest and over the wire. The methods and features mentioned in this section raise the level of protection at the column level with minimal overhead, and without requiring extensive changes to application code. Sensitive columns often include identification/social security numbers, mobile phone numbers, first name, family name, financial account identification, and any other data that could be deemed personally identifiable information (PII). Organizations often need to protect data at the column level as data regarding customers, employees, trade secrets, product data, healthcare, financial, and other sensitive data is often stored in SQL Server databases. For information about regulatory compliance with Azure, see Azure Trust Center. The security features made available in SQL Server 2016, and improved in subsequent releases, help counter security threats and provide well-secured database applications.Īzure complies with several industry regulations and standards that can enable you to build a compliant solution with SQL Server running in a virtual machine. OverviewĪ layered security methodology provides a defense-in-depth solution by leveraging multiple security capabilities targeted at different security scopes. For a comprehensive review of SQL Server security features, see Securing SQL Server.įor specific product security best practices, see Azure SQL Database and SQL Managed Instance and SQL Server on Azure VMs. This article provides information about best practices and guidelines that help establish security for SQL Server.

Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance