5 Tips for keeping your databases secure
Currently, we live connected. We access social media several times a day, read e-mails all the time, put our bank details on the web so we can make online purchases, among many other actions. All of them, regardless of the care we take, can bring risks to organizations. Basic precautions such as configuring antivirus or “getting away” from suspicious links are not enough in this age when our data is so exposed. And, never before as now, information has been so important for companies. Theft of confidential data can even sentence a business to its bankruptcy. For this reason, we have prepared an article with 5 tips to keep your databases secure!
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!
The Advantages of Masking Your Data with Datapeers
Protecting data is essential, especially the most sensitive data. No business wants to see its data exposed, as such a situation can lead a business to bankruptcy. More than ever, companies are concerned about the security of their information as a result of the growing importance that data has gained in recent years. One of the most effective ways to protect confidential information is through data masking. 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. It is therefore a real and growing need in contemporary organizations. In today’s article, we present the advantages of masking your data with Datapeers!
