Dealing with sensitive data is not easy. Theft of data and its consequent exposure can lead a business to bankruptcy. More than ever, companies are concerned with the protection of their information, as they know that data is extremely valuable today. The threats to data security are immense, so it is essential to ensure that we do everything to protect our organization’s most sensitive data. We leave in today’s article 4 essential tips for dealing with sensitive data!
Data privacy remains a concern for companies in 2020. There are still many mistakes made in terms of security and this can cause serious problems for the organization. It is essential to protect data in the best possible way, otherwise it will be exposed or stolen by people outside the business. In today’s article, we selected 5 data privacy mistakes you can’t make in 2020!
Artificial intelligence can help many industries by simplifying processes and increasing performance. Sensitive data protection is an area in which artificial intelligence will have a significant impact. Today, the amount of information that is generated in a company is incalculable, so collecting and processing data has become a major job. Due to the increasing need to protect data, companies have begun to invest in technology to process data. In today’s article, we’ll see how artificial intelligence can help companies protect their sensitive data!
Information security relates to data protection and all actions we take to prevent our information from being exposed. In today’s age of technology, data is the most valuable asset of any organization and must be protected. Every day thousands of new data are generated that need to be processed and that need to be safeguarded. Information security has been the top concern of IT managers and by 2020 it will remain a priority for organizations. We have selected some essential information security concepts. Follow us throughout this article!
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!