As the world of business has been greatly affected by digital transformation, practices related to workflows have also been moved to a large extent in the digital environment. The fact that companies store and process in the digital environment many different components related to their business models, as well as the data stacks that make up these components, offers advantages but also presents certain challenges. Difficulties related to cybersecurity protocols and access management are particularly challenging.
Monitoring access to databases where all sorts of critical company data are stored is of great significance to achieve a high level of network security. The fact that not only company users but also third-party institutions and individuals have database access brings about the necessity to establish a major control mechanism. Indeed, a poorly built database access management system may be insufficient in preventing data breaches, as a result of which the company may face both legal sanctions and loss of reputation.
The first course of action to avoid such undesirable developments and to have a sophisticated database access management system is the integration of a database access manager and a cybersecurity protocol that makes use of dynamic data masking into the IT infrastructure of the company.
What is Database Access Manager and Dynamic Data Masking?
Database access manager and dynamic data masking, indispensable components of database security, are cybersecurity solutions that prevent data breaches and their negative outcomes that negatively affect companies as well as their stakeholders. This system not only helps to ensure compliance with legal regulations on the protection of sensitive personal data such as GDPR and KVKK instead of tiptoeing around them but also bolsters your IT network against cyber threats.
It is best to elaborate on what database access manager is first. Database access manager, one of the key elements in ensuring data security, acts as a session log for database administrators. The system, which keeps a record of all queries and user logins, as well as access permissions given by the administrators, ensures secure privileged access to the database. Logging the data flow of all privileged sessions, this module helps to closely monitor database connections and activities. Database access, which is among the basic elements of an effective cybersecurity protocol, ensures that users only see the information assigned to them and cannot interfere with the system in general.
Another key element of secure privileged access is data masking. This technology aims to prevent the abuse of critical data by providing users with fictitious or secret data instead of real and sensitive data. Dynamic Data Masking (DDM) helps to prevent data breaches by withholding sensitive data from non-privileged users. Dynamic data masking, a tool of critical importance for secure access to companies' IT infrastructure, not only secures sensitive data but also ensures that data remain unchanged. DDM, which can also be configured to hide critical data in databases and query sets, utilizes fix/reset, scrambling, blurring, tokenization, modification, and other proprietary data hiding methods.
How do Database Access Manager and Dynamic Data Masking Work?
Database access manager and dynamic data masking work in an analogous manner. Database access manager, which helps to ensure data privacy, utilizes the mitmproxy to monitor multiple databases simultaneously (for example Cassandra, Hive, IBM DB2, Microsoft SQL Server, MySQL, Oracle, and Teradata). The module blocks unauthorized access and permissions requests made through existing SQLs. Thus, the combination of database access manager and dynamic data masking offers all-around protection of the database. This nested relationship between the two modules can be explained through three basic principles in five steps.
The monitoring and supervision of the activities in the database by the proxy constitutes the first principle of the workflow.
The second principle is related to the classification of records, listing database query results, and logging all data access operations by Database Access Manager (DAM) within the context of access authorization.
Dynamic Data Masking (DDM), on the other hand, hides the chunks of data it deems necessary within the filtered data set. Central to the third principle, the DDM engine monitors which user on the network should access what data when, how, why, and where. Thanks to the DDM engine, database queries can be condensed into a single piece of data.
The three basic principles above can be explained in five steps, through an example:
The user first runs a query on the network.
The relevant query is then logged and rewritten. If DDM is enabled at this stage, the query is passed to the DDM module and advanced masking methods are applied. After the query is masked, it returns to the DAM.
In the third step, the manipulated query is sent to the target database.
The target database sends the query to the data access manager.
Finally, DAM displays the filtered results to the user.
What are the Benefits of Database Access Manager and Dynamic Data Masking?
Database access manager and dynamic data masking enable companies to create sophisticated security policies. The cybersecurity benefits of these two modules, which enable institutions to have full authority over all access authorizations and user activities within the IT network, including remote access, can be summarized as follows:
A single access point is created for database access management.
All queries on the network logged; users authenticate using their own information. The query performed by the database user is logged, even if the user does not authenticate.
Sensitive data on the database servers such as credit card and identity information are determined.
Sensitive data is manipulated in a way to lose its sensitive nature but appears consistent and usable.
Database masking rules and secure access policies can be easily assigned to users, application accounts, and groups.
Minimized cyberattack risk for data being processed and used in the network.
A time limit can be set for the accounts.
Database performance is not adversely affected.
Users do not need to use a special database client. Authorization can be done through existing clients.
Inactive accounts are disabled; unexpired but weak passwords are eliminated.
The analogous use of DAM and DDM, important elements of Privileged Access Management systems, stand out as one of the best ways to provide end-to-end data security in today's world where businesses are largely digitized. These two modules are among the numerous advantages offered by Privileged Access Management (PAM) solutions and were developed based on the principles of least privilege and zero trust. Both modules are perfect for taking the cybersecurity policy of your company to the next level.
If you are looking for a PAM solution that includes the modules of database access manager and dynamic data masking, Single Connect will surely meet your expectations. Featured in the Privileged Access Management reports published by Gartner, KuppingerCole, and Omdia for its effectiveness, Single Connect, with its advanced product family offering the advantages of database access manager and dynamic data masking, will play an important role in ensuring the security of privileged accounts and critical data.
Contact us to get more information from our team about Single Connect, the PAM solution that improves the operational flexibility of your company thanks to its modular structure.