What are the security features available in SQL Server 2016?
SQL server 2016 has come up with the enhanced security features that use secure policy management to detect non-compliant policies. The security features available in the SQL server 2016 will allow only authorized users to access the database. The security audits and events can be written automatically to the log files.
How can the database administrator obfuscate sensitive data?
Many methods of “disguise”, or obfuscation, are available to the Database Administrator that can contribute a level of control to how sensitive data is stored and disclosed, in both production and development environments. The options that will be discussed in this article are: Aggregating.
How to manage restricted data in SQL Server?
In other cases, third-party tools have been introduced to manage the concealment of the restricted data. SQL Server 2016 and Azure SQL DB now offer a built-in feature that helps limit access to those particular sensitive data fields: Dynamic Data Masking (DDM).
Why choose Active Directory over SQL Server Authentication?
Choose Active Directory over SQL Server authentication whenever possible, and especially choose Active Directory over storing the security at the application or database level. If a user leaves the company it is easy to disable the account. It is also easy to remove users from groups when users change roles or leave the organization.
What is DDM in SQL Server 2016?
Why are special views created?
What is data privacy?
When is data masking performed?
Is dynamic data masking a security feature?
Where is sensitive information stored?
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What is Dynamic Data Masking in SQL Server 2016?
Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to specify how much sensitive data to reveal with minimal impact on the application layer. DDM can be configured on designated database fields to hide sensitive data in the result sets of queries.
What is SQL obfuscation?
The obfuscation renders the source code bodies of the SQL functions, SQL procedures, and triggers unreadable, except when decoded by a database server that supports obfuscated statements.
Do you use data masking and obfuscation techniques to protect sensitive data in use?
Unless there is a specific need for your obfuscation technique to be reversible, use irreversible data masking. It is the surest way to protect sensitive data, and the masked dataset will be equally useful as test data. For data masking to be done right, you must ensure that data integrity is maintained.
What is data obfuscation process?
Data obfuscation is the process of replacing sensitive information with data that looks like real production information, making it useless to malicious actors.
What method can be used to obfuscate data in SQL Server?
DDM can be used to hide or obfuscate sensitive data, by controlling how the data appears in the output of database queries. It is implemented within the database itself, so the logic is centralized and always applies when the sensitive data is queried.
What is code obfuscation techniques?
Obfuscation means to make something difficult to understand. Programming code is often obfuscated to protect intellectual property or trade secrets, and to prevent an attacker from reverse engineering a proprietary software program. Encrypting some or all of a program's code is one obfuscation method.
What is an example of obfuscation?
Obfuscation: Obfuscation is a noun for the act of casting shadow or muddling the facts. Example: The overwrought, pretentious wording of her term paper was a poor obfuscation of the fact that she hadn't researched her topic.
What is obfuscation in security?
Obfuscation refers to the process of concealing something important, valuable, or critical. Cybercriminals use obfuscation to conceal information such as files to be downloaded, sites to be visited, etc.
What is the process of protecting people's private or sensitive data by eliminating identifying information?
Data anonymization is the process of protecting private or sensitive information by erasing or encrypting identifiers that connect an individual to stored data.
Which term refers to a data obfuscation technique that replaces sensitive data with random data called a token?
Tokenization, like encryption, is a reversible process that replaces sensitive data with data that can't be used by unauthorized parties. While encryption uses algorithms to generate ciphertext from plaintext, tokenization replaces the original data with randomly-generated characters in the same format (token values).
Is obfuscation the same as encryption?
What's the Difference? Obfuscation, also referred to as beclouding, is to hide the intended meaning of the contents of a file, making it ambiguous, confusing to read, and hard to interpret. Encryption is to actually transform the contents of the file, making it unreadable to anyone unless they apply a special key.
Which of the following are the techniques for data masking?
8 Data Masking TechniquesData Pseudonymization. Lets you switch an original data set, such as a name or an e-mail, with a pseudonym or an alias. ... Data Anonymization. ... Lookup substitution. ... Encryption. ... Redaction. ... Averaging. ... Shuffling. ... Date Switching.
How many types of views are present in SQL Server?
two typesThere are two types of views in the SQL Server, namely System Defined Views and User Defined Views.
Which of the option is not a database object?
Answer: Queries, reports and tables are all related to database and relationships are not the database object and it is related to functions in mathyematics.
Obfuscating data in SQL Server - Stack Overflow
OK I am not sure if you require the data to be encrypted for regulatory purposes or just because you don't trust your developers. Given I don't know the laws where your data resides I can't answer the regulatory side of things.
Data Obfuscation for SQL Server - Blogger
In-database utilities for obscuring sensitive data. In a previous post, I explored an option for generating fake data in sql server using Machine Learning services and the R language.I've expanded on that by creating some stored procedures that can be used for both generating data sets of fake data, and for obfuscating existing SQL Server data with fake data.
What is DDM in SQL Server 2016?
SQL Server 2016 and Azure SQL DB now offer a built-in feature that helps limit access to those particular sensitive data fields: Dynamic Data Masking (DDM).
Why are special views created?
Alternatively, special views have been created to avoid exposure of these sensitive data pieces on the database itself, although these can impact database operations and are susceptible to errors. In other cases, third-party tools have been introduced to manage the concealment of the restricted data.
What is data privacy?
Data privacy is a major concern today for any organization that manages sensitive data or personally identifiable information (PII). Examples of such data include sensitive customer information such as phone numbers, email addresses and bank information, HR data on employees and financial business data. This sensitive information is often stored in ...
When is data masking performed?
Since the data masking is performed only at the end of the database query operation, right before the data is returned, the performance impact is minimal and often negligible. You should still validate the exact performance impact for your workload.
Is dynamic data masking a security feature?
Dynamic Data Masking is complementary to other SQL Server security features ( auditing, encryption, Row-Level Security, etc.) and it is highly recommended to use it in conjunction with them to better protect your sensitive data in the database.
Where is sensitive information stored?
This sensitive information is often stored in the database, and it should only be available to specific people on a need-to-know basis. Beyond that need, the sensitive data should not be exposed via the application, or to developers or IT personnel who access the production database directly.
What is SQL server data mining?
SQL server data mining tools and data management tools that include disk partitioning. The maintenance can be ensured by following the data management policies. These practices will help to ensure the availability and recoverability of the data.
What is row level security in SQL 2016?
Row-Level Security is a security feature in SQL 2016 that will help you to secure the data row-wise. In short terms, you can define the road that will be viewed by a particular SQL user only. This feature allows you to restrict access by setting some user access permissions to the users. So based on the SQL user, you can restrict the root level data. Example: You will be able to restrict the data by allowing the employees to view only the department data.
What is dynamic data masking in SQL Server 2016?
Dynamic data masking is another security feature in SQL server 2016. This feature will wrap the masks on your data. In simple terms, it will allow you to hide the confidential data that you would not like to display to any other unauthorized users. It avoids the disclosure of sensitive data to the outside people. After masking is performed, unauthorized users or SQL users will have limited access and will not be able to view the original text. He will be able to view only The Masked text. SQL has also come up with masking functions that are predefined, and you can apply them on different columns.
Why is history important in SQL Server 2016?
Sometimes history would help you in performing some functionalities or operations. History would play an essential role in the business organization when you deal with a large amount of data. SQL Server 2016 provides a feature of Record version facility that will help you in keeping the history of the change record and maintain it for timely analysis. This will help you in reviewing the data or all records after the table updation. This feature can also be used for checking the data trend, audit purposes, accidental update for deletion of data, etc.
What is polybase in SQL Server 2016?
SQL Server 2016 has come up with a feature called Polybase that provides the multi-connection functionality, allowing you to connect to all the relational and non-relational data from a single point. It also helps you in establishing the connectivity between the Hadoop database and Azure blob storage. The primary function of the always is to create a bridge between the data that is outside of SQL scope while querying on Hadoop or Azure storage. It also does not require any installation or additional knowledge. All you need to do is an import and export the data to and from Hadoop or Azure storage. It also allows you to integrate with business intelligence.
Why is SQL Server always encrypted?
SQL Server has come up with the feature called always encrypted, which helps you to keep your sensitive data in an encrypted format. It could be either in the local environment or remotely via the cloud. It allows the users to protect the data from the malicious attacks, or the people who would play around it like the database administrators, cloud operators, or any other unauthorized users. SQL Server allows you to set up the always encrypted feature to the individual column in which the sensitive data exists. You will need to define the encryption key and the master key. The encryption key is used for the column data for encrypting the data of a specific column. The master key is used for encryption of the column encryption keys. So, SQL Server is utilizing the dual encryption protection where the data can be encrypted and decrypted when you are using the database.
Should auto shrink be enabled?
Autogrow should be enabled on your log and data files , and it is also important for auto shrink to be turned off. It is recommended to create the logs using enough space to reduce the possibility of autogrow events.
What is the function of a Rand system?
The RAND system function is not one that directly manipulates values for the benefit of obfuscation, but its ability to produce a reasonably random value makes it a valuable asset when implementing character scrambling or producing a numeric variance.
What is nulling in SQL?
The process of nulling is the replacement of sensitive data with a NULL value, thus rendering the sensitive data unavailable in the development database. While this certainly protects the sensitive data, since the values are no longer known in the database, it does present issues if there are dependencies upon this data or constraints that do not permit a NULL value. Also, use of nulling can also present difficulties when trying to troubleshoot issues that specifically involve sensitive data.
How to permanently modify stored value in database?
One way to apply this method is to permanently modify the stored value in the database by executing an UPDATE statement using the LEFT, RIGHT or SUBSTRING system function to define the remaining portion of the value .
What is character scrambling?
Character scrambling is a process by which the characters contained within a given statement are re-ordered in such a way that its original value is obfuscated. For example, the name “Jane Smith” might be scrambled into “nSem Jatih”.
What happens when a RAND function is included in a user defined function?
One special consideration of the RAND system function is that when it is included in a user defined function an error will be returned when the user defined function is created.
What does "obscurity" mean in obfuscation?
The word obfuscation, at times, can be used interchangeably with the term obscurity, meaning “ the quality or condition of being unknown “. However, there is a subtle difference between the two terms and the former definition is more appropriate since obscurity implies that the hidden condition can be achieved without any additional effort.
What is the production database?
The database that is utilized for daily business transactions is referred to as the production database. The version of the database that is used to develop and test new functionality is referred to as the development database. These environments are separated so that new development and troubleshooting can occur without having a negative effect on the performance and integrity of the production database.
What is DDM in SQL Server 2016?
SQL Server 2016 and Azure SQL DB now offer a built-in feature that helps limit access to those particular sensitive data fields: Dynamic Data Masking (DDM).
Why are special views created?
Alternatively, special views have been created to avoid exposure of these sensitive data pieces on the database itself, although these can impact database operations and are susceptible to errors. In other cases, third-party tools have been introduced to manage the concealment of the restricted data.
What is data privacy?
Data privacy is a major concern today for any organization that manages sensitive data or personally identifiable information (PII). Examples of such data include sensitive customer information such as phone numbers, email addresses and bank information, HR data on employees and financial business data. This sensitive information is often stored in ...
When is data masking performed?
Since the data masking is performed only at the end of the database query operation, right before the data is returned, the performance impact is minimal and often negligible. You should still validate the exact performance impact for your workload.
Is dynamic data masking a security feature?
Dynamic Data Masking is complementary to other SQL Server security features ( auditing, encryption, Row-Level Security, etc.) and it is highly recommended to use it in conjunction with them to better protect your sensitive data in the database.
Where is sensitive information stored?
This sensitive information is often stored in the database, and it should only be available to specific people on a need-to-know basis. Beyond that need, the sensitive data should not be exposed via the application, or to developers or IT personnel who access the production database directly.