¡NYMIZ ESTÁ LISTO PARA BRILLAR EN LA STARTUP WEEK DE AUSTIN!
Como un faro para el espíritu emprendedor y las empresas innovadoras, Austin está listo para desplegar la alfombra roja a la tan esperada Austin Startup Week. Cada año, este evento destaca las nuevas empresas que redefinen los límites del emprendimiento. Este año, estamos orgullosos de compartir que Nymiz se ha unido a las filas de […]
¡NYMIZ ESTÁ PREPARADO PARA REVOLUCIONAR EL FUTURO DE LA IA EN EL SANTANDER X GLOBAL CHALLENGE | CYBERPROTECT THE FUTURE!
En el dinámico campo de la Inteligencia Artificial (IA), la innovación y el espíritu emprendedor evolucionan constantemente, aportando soluciones vanguardistas que transforman la manera en que enfrentamos desafíos tecnológicos y de seguridad. Actualmente, todas estas fuerzas se unen en el escenario global del Santander X Global Challenge | Cyberprotect the Future, donde nos complace anunciar que […]
“WITH DATA ANONYMIZATION, THERE’S NO EXPOSURE OF SENSITIVE DATA”
AS CYBER FELONS START TREATING DATA AS A VALUABLE ASSET, ORGANIZATIONS NEED TO ADOPT DATA SECURITY MEASURES TO PROTECT THEMSELVES FROM MALICIOUS OUTSIDERS In a world where the hybrid working environment is now dominant, data breaches are nothing unheard of. More and more companies are falling victim to such attacks, ruining their brand’s reputation and […]
MORE THAN 20 MILLION EUROS IN GDPR FINES
SUMMARY ON DATA PROTECTION FINES Q2 2022. SPAIN. THE AMOUNT OF FINES RISES The amount of the fines imposed by the Spanish Data Protection Agency (AEPD) is around 20.5 million euros in the first half of 2022; two-thirds of the total amount of those imposed during the year 2021. It is worth mentioning the sanction […]
WHAT IS PERSONAL DATA ANONYMIZATION? AND PSEUDONYMIZATION?
In the literal sense, to anonymize is to express data related to entities or people, eliminating the reference to their identity. But how is it possible to remove that reference? What are the differences between data anonymization and pseudonymization? There are many doubts regarding this concept also known as data masking. WHAT IS ANONYMIZATION? Anonymization […]
WHY AND HOW TO AUTOMATE DATA ANONYMIZATION?
Data protection has become a priority for companies and public entities. Privacy regulations demand transparent treatment of personal data and organizations must adapt their data management to comply with the standards. These requirements arise in a context where data is an extremely valuable asset for organizations, leading them to accumulate large volumes of both valuable […]
WHAT IS DATA PSEUDONYMIZATION?
Pseudonymization is a reversible data masking process that replaces a data set with an alias or pseudonym. The key is therefore reversibility; a factor that differentiates this masking method from anonymization. DIFFERENCES BETWEEN ANONYMIZATION AND PSEUDONYMIZATION The term pseudonymization is often incorrectly associated with the replacement of personal data by aliases or pseudonyms. However, this concept […]
WHY IS PERSONAL DATA MASKING ESSENTIAL FOR COMPANIES?
Today, privacy protection has become increasingly important for companies that handle large amounts of personal data. With cybersecurity threats on the rise, it is crucial to ensure that customers’ personal data is protected and secure. In this article, we will explain why masking personal data is essential for businesses and how Nymiz, with its data […]
DATA PSEUDONYMIZATION FOR ISO 27001 AND ENS COMPLIANCE
Information security and personal data protection are key issues in today’s business world. ISO 27001 and the National Security Scheme (ENS) are two of the most widely used regulatory frameworks to ensure information protection in companies. However, how can we comply with these regulations without losing valuable information for our companies? This is where data […]
INTRODUCTION TO DATA ANONYMIZATION
In the information age, data has become a strategic asset for public and private entities. Companies, governments and institutions collect and analyze large amounts of data, obtaining valuable information by using it for commercial or research purposes. But as data collection becomes commonplace, a new concern arises: privacy. Serious consequences such as identity theft, invasion […]
