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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.
An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...
Data corruption and/or loss caused by the entry of invalid data or commands, mistakes in database or system administration processes, sabotage/criminal damage etc. Ross J. Anderson has often said that by their nature large databases will never be free of abuse by breaches of security; if a large system is designed for ease of access it becomes ...
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 ]
Compensating controls mitigate ongoing damages of an active incident, e.g. shutting down a system upon detecting malware. After the event, corrective controls are intended to restore damage caused by the incident e.g. by recovering the organization to normal working status as efficiently as possible.
Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...
For successful database testing the following workflow executed by each single test is commonly executed: Clean up the database: If the testable data is already present in the database, the database needs to be emptied. Set up fixture: A tool like PHPUnit will then iterate over fixtures and do insertions into the database.
Mitigation (RS.MI): Activities are performed to prevent expansion of an event, mitigate its effects, and eradicate the incident. Improvements (RS.IM): Organizational response activities are improved by incorporating lessons learned from current and previous detection/response activities.