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Database activity monitoring (DAM, a.k.a. Enterprise database auditing and Real-time protection [1]) is a database security technology for monitoring and analyzing database activity. DAM may combine data from network-based monitoring and native audit information to provide a comprehensive picture of database activity.
Ron Ben-Natan, IBM Gold Consultant and Guardium CTO. Implementing Database Security and Auditing. Digital Press, 2005. KK Mookhey (2005). IT Audit. Vol. 8. Auditing MS SQL Server Security. IT Audit. Vol. 8 Murray Mazer. Database Auditing-Essential Business Practice for Today’s Risk Management May 19, 2005.
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]
Developers should use parameterized queries and prepared statements to ensure user inputs are never executed as SQL code. Another effective coding practice to mitigate the risk of SQL injection is ...
The data vault methodology is based on SEI/CMMI Level 5 best practices. It includes multiple components of CMMI Level 5, and combines them with best practices from Six Sigma, total quality management (TQM), and SDLC. Particularly, it is focused on Scott Ambler's agile methodology for build out and deployment. Data vault projects have a short ...
Data auditing is the process of conducting a data audit to assess how company's data is fit for given purpose. This involves profiling the data and assessing the impact of poor quality data on the organization's performance and profits.
The Mayan calendar’s 819-day cycle has confounded scholars for decades, but new research shows how it matches up to planetary cycles over a 45-year span
One technique for evaluating database security involves performing vulnerability assessments or penetration tests against the database. Testers attempt to find security vulnerabilities that could be used to defeat or bypass security controls, break into the database, compromise the system etc. Database administrators or information security administrators may for example use automated ...