How to avoid exposing masked data?
New Year, old worries! Information security will continue to be the main business concern in 2020. Attacks by hackers are increasingly sophisticated and unpredictable and the threats keep increasing. For this reason, data masking will increasingly be a solution sought by IT professionals. Data masking aims at creating a structurally identical but not equal version of the data. This technique creates a database with fictitious but realistic information that can be used for testing and training purposes. Data masking solutions offer a variety of sophisticated scrambling techniques to protect sensitive data, irreversibly replacing it with unrealistic data while maintaining referential integrity of the database. In today’s article, we will see how we can avoid exposing masked data!
Data masking: what it is and why your company should do it
Data are the most important assets of companies today because it is through them that managers extract information about customers and the market in order to make the best decisions. Never before has there been an awareness that it is necessary and fundamental to protect information. Data masking is a technique that many companies are already using because it allows unauthorized data to remain secure and confidential. This tool is a growing need especially in the companies that generate a great volume of data (Big Data). In today’s article we will talk about data masking and explain why your company should start using this feature today!
