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2) Identify sensitive data 
2) Use automation features 
2) Rules and Strategies 
Technology Sharing: Database Auditing and Protection Tips
For data security protection, it is common practice for enterprises to strengthen the network boundary and assume that their internal data is secure. In fact, this hypothetical security model proved to be ineffective when companies seeking to improve processes and customer experience moved data into web, mobile, and cloud-based applications that were closer to or beyond the border network. Savvy hackers can penetrate the system and penetrate tens of millions of records within minutes. Internal risks are more serious than external risks because malicious users and privileged users can access the organization's system without restriction and steal data at will.
Database auditing or database activity monitoring is a key component of data-centric security policies that provide clearly visible locations, risks, and data activities for sensitive data.
As a professional manufacturer in the data security field, Sparkle Information focuses on product development and innovation in the field of data security. This article aims to share some actionable recommendations for companies seeking to implement data center security policies to address data auditing and protection issues.
Recommendation 1: Plan well
1) Clearly to achieve the goal
In an enterprise with a large heterogeneous database environment, security and compliance reporting requirements can be very complex. Fortunately, the goal will be broken down into a series of use cases with repeated requirements. The security strategy should reflect the company's risk tolerance. Auditing or activity monitoring is only applicable if there is little or no active security and limited forensic capabilities. The security of audit data may be very simple or complex. The following highlights some of the key differences:
Traditional compliance monitoring:
• Limited range and scale
• Historical review record
• Centered on DBAs and scripts
• Limited relevance to security solutions
Security Monitoring:
• broader scope and scale
• Suspicious behavior alerts and/or real-time blocking
• Focus on teams and tasks
• Compliance and security assessment engine separate
• Associated with other security solutions
2) For stakeholders to buy early
Successful deployment and implementation of results will depend to a large extent on the work you do before purchasing software. Early involvement of stakeholders and consensus on goals and success criteria will reduce "negative impact", speed deployment, and increase your depth and breadth of coverage.
Major stakeholders:
R&D department, IT, security department, DBA/data architect, IT, risk compliance department.
3) Clear budget
Judging the initial and ongoing input costs of new technologies requires understanding cost factors, time frames, and current investment returns. Verify that there are no hidden costs or expensive license renewal in the supplier cost estimate. Ask your internal team to conduct a five-year cost analysis that includes adding the first phase of the database and use cases. Understanding that different use cases can greatly change the amount and speed of the audit; doing homework, collecting the necessary technology, costs and risks Information to calculate actual costs and return on investment.
4) Stick to the plan
Although plans are live documents that reflect company lessons and changing needs, you must manage existing plans. The control range creeps and sets expectations.
Use the defined change process to explain additional resources and budgets. Implement a solution that integrates and leverages your existing solutions to simplify management, maintenance, and updates. Change the role, educate and disseminate the continuing benefits of data auditing and protection solutions. Communicate with stakeholders and provide regular updates related to their needs. Data auditing and protection solutions should provide specific reports and diagrams based on roles and can be provided via email or web pages.
Recommendation 2: Master the data
1) Understand where data is located
Automatic discovery scans manual database listings that are not error-prone. Select a solution to find the database so that the new database can click Accept to the default monitoring group and provide the option to arrange the database as a logical or physical combination for policy application and management.
The consistent classification of sensitive data is mandatory, and relying on users to do data consistent classification is not scalable. Your solution should provide a large number of predefined data types and support the definition of custom data types. The operational scan results screen speeds up the boarding and launching process.
Predefined data types + custom data types
3) User Access Rights Discovery
Implementing access control is part of almost any compliance, privacy, and governance strategy. Use data auditing and protection solutions that provide user database permission discovery, with integrated review and reporting capabilities, whether granted or valid.
4) Assess loopholes and gaps
System protection of large volumes of data requires a solution that can manage multiple and often overlapping compliance and security requirements. The plan must have the ability to regularly update and define the strategy from the supplier team.
Recommendation 3: Consider starting from the results
1) Confirm who needs what, when
In order to ensure that the results of the implementation are as expected, it is necessary to maintain regular communication with various stakeholders and provide positive feedback.
Good automation capabilities allow employees to focus on what computers can't do, improve consistency, and achieve scalability. Look for automation in applications and APIs to automate multi-system processes and facilitate integration with IT management systems.
3) Prepare for response
A successful event response process depends on the isolation of connection points, context information, and abnormal behavior. When and how to respond is a reflection of the company's or business unit's tolerance of risk. Low risk tolerance organizations should choose a feasible solution:
• Use external system context information to enrich the log;
• Integration with other tools and systems to help identify, track, and prioritize attack points;
• Keep up with the highest performing databases and big data instances;
• Select a solution that has multiple alarm means such as alarm, isolation, and blocking.
4) Optimization report
The time and complexity required to reduce the audit report task is a basic prerequisite for the solution. More specifically, the system must provide normative reporting throughout the heterogeneous database environment without manual intervention. The system shall collect, organize and properly present the required audit information according to the real-time requirements at scheduled intervals.
Accounting changes are another benchmark requirement. Finding vendors with a history of providing specific policies and reports on compliance can be configured to your unique needs without affecting functionality and scalability. Centralization of verification is supported by all reports, not just a few.
Recommendation 4: Implement a Universal Solution
1) Database inventory type, capacity and speed
Unmonitored databases are a huge hidden danger in the entire security system. List all databases by type and choose a solution that monitors both the local system and the network system.
Choose a solution that provides a common, easy-to-use policy management system that can handle the entire set of rules in the environment, regardless of the number of databases.
The company's database auditing and protection system is a leading database security audit system independently developed by the company to solve database security problems. It collects, analyzes, recognizes, and records the behavior and content of accessing the database through high-speed multi-core and multi-thread hardware platforms, zero-copy technology, and storage retrieval technologies, and can determine the risk level of access operations according to various security policies. According to the risk level selective alarm, the audit function completely independent of the database is realized. At the same time provide a visual audit log retrieval and playback capabilities, generate highly readable reports, to improve the security of the database and business systems.