You certainly know Black Mirror, a series in which each episode tells us about the use we make of machines and the power we give them. Chatbots, virtual reality and drones are some of the topics covered in this series that make us think about our ethical values and their relationship with technology. Behind each episode, there are several messages to keep in mind, many of which are related to information security. For today’s article, we’ve selected 3 security lessons we learned from Black Mirror!
Although little is said about GDPR today, the law exists and it is mandatory to comply with it. There are many companies that have not yet prepared themselves to protect their data in accordance with the new legislation. The fines are quite high and it is unconscious not to be concerned with the information of your business, as the exposure of sensitive data can seriously compromise the organization’s survival. Therefore, we have prepared this article where we present you 4 measures for your company to adapt to the GDPR!
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!
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!