The very famous General Data Protection Regulation or as we call it GDPR, in short, is a regulation which was passed in the year 2016 by the prestigious European Parliament. By way of this regulation the two supreme bodies that are-
- the Council of the European Union, and
- the European Commission;
Intended to make stronger and better unification of the data protection for all persons falling within the purview of European Union (EU).
This was perceived as a welcoming step because Data privacy has become a pivotal concern in the IT world which is completely fielding databases these days. One needs to be sure that his or her private information is secure and does not fall into the wrong hands. As per the reports of Online Trust Alliance, there were some 159,700 cyber attacks in 2017. This report makes this regulation even more welcoming and needed. To meet this compliance Microsoft SQL server has come up with really good tools and features that make it GDPR compliant.
There are four keys to comply with GDPR compliances and they are-
The Microsoft SQL server has come up with GDPR compliance strategy by way of introducing the following tools and features to tackle the compliances-
Identification of Personal Data- SQL Server now has tools called SQL Data Discovery & Classification. A tool incorporated with SQL Server Management Studio (SSMS). The tool examines databases and recognizes segments that may contain private information. It at that point suggests affectability orders based on its discoveries. Accordingly, DBAs can arrange personal data inside a database in a speedier manner and with lesser activities than it was previously needed to look at all the information physically. Sections that require more developed evaluation and assurance can be labelled with marks and can be positioned according to the level of how delicate information they contain.
Management Of Personal Data Access- Dynamic Data Masking, which was included in SQL Server 2016, empowers DBAs to control who can – and all the more vitally, who can’t – get to private and personal data information. End users who need legitimate authorization and access benefits can’t read the veiled information since components of it are kept hidden from them. Information veiling is continuously supported in Azure SQL Database. Essentially, row- level security, another element presented by SQL Server in 2016, gives DBAs control over particular columns in database tables. It upholds rationale to confine access to lines inside the database itself, as a major aspect of the diagram that is bound to a table and does sifting through columns in multi-inhabitant applications to forestall unapproved access.
Protection Against Breaches And Threats- Among different tools for executing security controls, the new SQL server featured Azure SQL Threat Detection tool, which recognizes unordinary and possibly noxious exercises in Azure SQL Database. The device alarms DBAs to suspicious activities, for example, SQL infusion assaults, and cautions them of potential vulnerabilities. Sky blue SQL Threat Detection additionally prescribes steps that DBAs and information security supervisors should take to examine, moderate and defuse dangers.
Report Anomalous Activities- To take care of this part SQL Vulnerability Assessment, a tool was included in the SSMS 17.4 refresh that Microsoft had discharged in late 2017, helps meet GDPR’s security models and consistent necessities by persistently following and dissecting database safety efforts. The tool consistently filters SQL Server database situations and distinguishes security vulnerabilities and at that point also gives remediation suggestions to determine the issues. DBAs who are conveying Microsoft GDPR consistence devices can likewise track and log frameworks aligned with SQL Server Audit, a program incorporated with the database administration framework. Through prebuilt formats, it can be utilized to make client characterized reviews of database and server events, empowering them to run all of this simultaneously.
Conclusion
Data privacy has become a huge issue in today’s time where everyone is dependent on clouds and databases for information and many other things. This also puts the entire data to risk because once it gets into wrong hands you never know the level of damage it can cause. Microsoft’s GDPR consistence instruments are set point by point to additionally incorporate encryption, a security feature that empowers DBAs to scramble information when it’s in a very raw form. This shields the information and data associated with it from unapproved clients who are paying very little or no heed to their access rights and licenses.
A regulation needs to be complied with and especially when it is towards protecting its people from an imminent threat. It is the truth that data privacy needed some regulation and now when that regulation is in place it needs compliance. SQL server has already come up with so many tools and features and we are hopeful to see more changes to meet the compliances.
