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!
Many companies have started using machine learning to protect their information. In addition to increasing efficiency in data protection, applying artificial intelligence techniques to information security enables companies to be able to prevent attacks in real time, thus avoiding financial loss. Protecting information is a constant concern within companies and with the arrival of the so-called Fourth Industrial Revolution, machine learning solutions are capable of learning behaviors and setting new security standards. In today’s article, we’ll take a look at how machine learning helps keep business information secure!
We have never been as concerned about privacy as we are today. Our privacy can be invaded at virtually any time, from data theft on Facebook or theft of bank data. Actually, there are more and more computer attacks, but it is also our responsibility. It is crucial to have good habits to keep our data safe. We have selected a few simple tips to protect the privacy of your data and present them in this article!
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!
Nowadays, we use the Internet to do (almost) everything: shopping, watching movies and series, making bank transfers, checking important data, and much more. And if before we could only do all these things through a fixed computer, nowadays we can do all this through a smartphone or a tablet. This whole new world of possibilities has brought with it numerous computer threats, so information security has become a priority for organizations. Protecting against cyber attacks today is not a choice but a necessity, and the numbers are not misleading: about 60% of small and medium-sized businesses do not reopen after suffering a cyber attack. Therefore, it is essential that companies protect themselves properly. In today’s article, we leave you 5 days of information security so you can apply it to your business!
2019 is rapidly moving towards its end and it is time for us to anticipate trends. The area of information security has been one of the main concerns of companies, due to the high number of threats that companies face and also due to the recently legislation in Europe and Brazil. By 2020, security will continue to be a priority for companies wishing to ensure that their data remains confidential. In today’s article, we present the top security trends for 2020!
Much has been said about the GDPR in 2018. The new regulation came into force in May last year and thousands of news related to the law came out. A year and a half after its arrival, few people talk about this legislation that promised to drastically change the way companies relate to their customers and business partners. We are currently experiencing a “non-reaction” phase to the GDPR, which could compromise data security and could result in huge fines for non-compliant. We will understand in this article what is the state of play regarding the General Data Protection Regulation!