Data Security Solutions
The centralized control platform, which is based on a unified database, controls all aspects of the data process cycle and keeps user rights separate. It also has fine-grained authority control, efficient data operations, and audits of product behavior. This makes it easier to keep data secure and improves database operations and maintenance efficiency and security.
With the continuous development of informatization, in the era of cloud computing and big data, the internal information system of businesses is getting progressively complex, and the database, as the core and foundation of the information system, carries more and more key business systems. Data gradually become the core asset of the enterprise. At the same time, the rise of artificial intelligence application scenarios based on data analysis has accelerated the process of datafication, and information has reached an unprecedented degree of connectivity. Enterprise security and stability are the foundation of survival and development in the informatization construction process. There is a lot of important and sensitive information in the company. It will cause losses to the enterprise and society, and even affect the image of the enterprise and social security at worst if the information is tampered with or leaked. So it is crucial to improve the operation and maintenance efficiency of the database and ensure data security. However, most data security problems are not caused by the lack of offensive and defensive confrontation but occur in the entire enterprise value chain and life cycle. To solve these problems, we cannot rely only on a single point of technical confrontation but need to have a vision across the whole picture and the awareness of systemic risk prevention.
ONE platform supports all mainstream databases on the market. It makes a standardized way for internal staff to connect to databases, facilitates centralized management and control, authority allocation, and behavior audits and standardizes internally complex and varied business processes.
After the platform and the database are connected, by judging the user's functions and application scenarios, performing initial fine-grained permission allocation for users based on the importance of database resources, to avoid the risk of violations and information leakage caused by abuse of highly privileged permissions.
After users obtain the operation authority to the database-related resources, in the process of data operation, the built-in functions are suitable for the industry application scenarios to improve the operation and maintenance efficiency. At the same time, the database operation result set can be dynamically desensitized and displayed according to the assigned authority.
Behavior audits cover the entire data cycle and enable comprehensive audits by bridging different data flow segments. You can get an overview of the data execution and security situation, help internal staff to know the overall execution and security situation, and assist in subsequent work, according to the audit result report.
Through a unified data operation platform, the RBAC method is used to match roles, permissions, and users, and permissions are granted from different business levels according to the nature of use of various people, so that permissions can be separated from fine-grained management and control of people and cover the entire data cycle.
We monitor the database's operation behavior synchronously while it's running and audit it thoroughly after it's done so that everything is evidence-based, to protect enterprise data security.
Self-developed authority middleware adopts a hierarchical authorization mechanism, which is divided into two levels: SA system administrator and Owner. SA is in charge of the whole system and gives the Owner permission to manage and control the data comprehensively.
operations, which cover the life cycle between applications and databases, so data administrators can take over and gain insight into applications.
Distinct from the traditional mode of desensitization, it supersedes traditional network protocol packages to achieve more accurate data desensitization through adaptive rules, code analysis, and data intercept.
By integrating the analysis engine, and giving users the minimum permission set, we reduce the workload on the DBA and avoid permission abuse. That, in turn, reduces the possibility of database drag.
Bintools looks forward to contacting you for professional data solutions that are tailored to your needs.