CÓMO ELEGIR HERRAMIENTA DE ANONIMIZACIÓN DE DATOS IDEAL PARA TU EMPRESA EN 2025
El uso de herramientas de anonimización de datos es una de las formas más eficaces de garantizar el cumplimiento normativo y la seguridad. En un mundo donde las regulaciones de privacidad de datos, como el RGPD y la CCPA, son cada vez más estrictas, las empresas deben tomar medidas proactivas para proteger la información sensible. Pero […]
HOW TO CHOOSE THE BEST DATA ANONYMIZATION TOOL FOR YOUR BUSINESS IN 2025
In an era where data privacy regulations like GDPR and CCPA are more stringent than ever, businesses must take proactive measures to protect sensitive information. One of the most effective ways to ensure compliance and security is by using data anonymization tools. But with so many options available, how do you choose the best one […]
NYMIZ AT LEGALWEEK 2025: LEADING INNOVATION IN DATA PRIVACY
From March 24 to 27, LegalWeek 2025 will bring together thousands of legal leaders, technology experts and global providers in New York to discuss the most innovative trends in the sector. This year, Nymiz is proud to participate in this benchmark event, bringing our advanced data anonymization solutions to professionals interested in improving privacy and […]
PSEUDONYMIZATION: THE KEY TO GDPR COMPLIANCE AND EFFECTIVE PRIVACY PROTECTION
In today’s hyper-connected world, where personal data is the new “digital gold,” ensuring individuals’ privacy is a priority for both organizations and regulators. In this vein, the European Data Protection Board (EDPB) has taken a step forward by publishing new guidelines on pseudonymisation under the General Data Protection Regulation (GDPR). These guidelines not only clarify […]
LEGAL SOFTWARE TESTING: WHY SYNTHETIC DATA IS ESSENTIAL
In the legal sector, technology plays an increasingly critical role. With the growing adoption of software tools that automate legal processes, ensuring the privacy and accuracy of data used in testing has become a priority. This is where synthetic data emerges as a critical solution. What is synthetic data and why is it relevant? Synthetic […]
3 REASONS TO CHOOSE ANONYMIZATION AI IN LITIGATIONS PREPARATION
In the digital age, artificial intelligence (AI) has become an essential ally for the legal sector, redefining litigation preparation. Lawyers face the challenge of processing huge volumes of data while making strategic decisions under increasing pressure. Combining AI with advanced anonymization tools, such as Nymiz, is revolutionizing the way legal teams approach their cases, providing […]
TÉCNICAS DE REDACCIÓN DE PDF DEFINITIVAS PARA LA SEGURIDAD DE LOS DATOS EN 2025
En una era en la que la seguridad y la privacidad de los datos son primordiales, la redacción de PDF se ha convertido en un proceso fundamental para las organizaciones que manejan información confidencial. Este artículo explora las técnicas de redacción de PDF más eficaces para 2025 para garantizar que su organización cumpla con las […]
ULTIMATE PDF REDACTION TECHNIQUES FOR DATA SECURITY IN 2025
In an era where data security and privacy are paramount, PDF redaction has become a critical process for organizations handling sensitive information. This article explores the most effective PDF redaction techniques for 2025 to ensure your organization stays compliant and secure. What is PDF redaction? PDF redaction involves permanently removing or concealing sensitive information from […]
WHAT IS UNSTRUCTURED DATA IN HEALTHCARE AND HOW TO PROTECT IT?
The healthcare industry handles an immense amount of critical information ranging from medical records to diagnostic images, emails, and test results. However, a large portion of this data is not organized into structured databases; it is what we call unstructured data. In a previous article, we explored the importance of protecting unstructured data in general. […]
¿QUÉ SON LOS DATOS NO ESTRUCTURADOS EN EL SECTOR SALUD Y CÓMO PROTEGERLOS?
El sector salud maneja una cantidad inmensa de información crítica que abarca desde registros médicos hasta imágenes de diagnóstico, correos electrónicos y resultados de pruebas. Sin embargo, una gran parte de estos datos no está organizada en bases de datos estructuradas; son lo que llamamos datos no estructurados. En un artículo anterior, exploramos la importancia […]
