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!
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!
Today’s world is digital, so more and more companies are taking advantage of information and big data to gain relevant insights into markets and the business itself. Internet access is nowadays universal and the massive use of social media captures a huge volume of data. Data privacy is one of the key challenges facing companies today. There is a growing collection of user data, and more and more computer attacks that expose private data and cause huge financial losses to businesses. To combat these threats and to ensure that sensitive information remains private, several countries and regions have begun to implement measures to punish organizations that don’t safeguard information security. In today’s article, we will learn about the new data protection laws in the world!
Data security and privacy are two concepts that go hand in hand. Many people confuse the concepts and think they are the same thing. However, while they have the common goal of protecting sensitive data, data security and privacy are not the same thing and have different approaches to achieving the goal they share. In today’s article, we will understand the differences between these two concepts and understand how we can keep data private and secure!
The new data protection law has been in place since May 2018, but there are many companies that still make serious mistakes in the handling of sensitive data. Failure to comply with the law can lead the company to pay huge fines, so you need to take extra care when dealing with private data. In today’s article, we address the 5 unforgivable errors in the handling of confidential data under the GDPR!
GDPR came into force a year ago, and at the moment there is a general state of apathy regarding this new regulation. It easily goes unnoticed that the GDPR has emerged to boost opportunities, to review and enforce data protection policies. There has not been a very significant attention and adherence on the part of the organizations to this new legal obligation, which is a mistake, because despite the lack of interest that companies demonstrate, fines have already been imposed in Europe due to legal violations of the GDPR. In today’s article, we’ll give you 10 facts you need to know about GDPR!
GDPR fines are high and in case of default there is much more to lose than just money: reputation, good image with customers and trust by stakeholders is damaged and may even lead to the end of the business. Therefore, it is essential for companies to be able to protect their information at different stages of the data-processing process, and masking of data is increasingly becoming an alternative that companies use. In today’s article, let’s see how data masking can prevent GDPR fines!
The numbers are clear: in 2016 more than 978 million people, in 20 different countries, were victims of some kind of cybercrime, according to data from Norton Cyber Security. Computer attacks are on the rise all over the World and this is a result of the digitization of business and of our daily lives too. As more and more devices are connected to the Web, there are also more and more gateways for digital criminals. In the business world, a computer attack can have fatal consequences for business continuity, so it is imperative that security is seen as a real and ever-growing need. In today’s article, we will answer the following question: how can the IT manager prepare for cybercrime?
In an increasingly digital market, information security is a growing concern in companies. The data generated daily is the most precious asset of organizations and, due to data protection laws, it is necessary to ensure compliance with legal requirements so that the company is not penalized. It is essential to know how to analyze the vulnerability of an IT system. In today’s article, we leave you important tips so you can analyze the vulnerability of your system!
Data security is an increasingly strategic vector for companies. Suffering from a computer attack can put the entire survival of the business at risk. For a company to be fully protected, it is not enough to protect itself with a single solution; it is necessary to have defenses for all types of threats. To help you with the task of protecting your information, we’ve prepared 5 lessons in data security to avoid risk!