Protecting their private data is always a task for businesses in today's cyber world, where data breaches and cyberattacks are steadily on the rise. One of the biggest threats to data privacy and security is data leakage, which happens when private information leaves an organization's secure setting either by accident or on purpose. Companies all over the world are realizing they need Data Leakage Protection (DLP) options right away because of the growing number of high-profile data breaches.

Data security is becoming a monumental challenge for businesses and individuals as we all try to manage and protect our data online. We maintain a balance of security, privacy, and backups to protect our information and that of others. Businesses must navigate complex regulations alongside data breach protection to mitigate the risks of cyberattacks and financial loss with complex cloud infrastructures and disaster recovery methods.

Data tokenization is a critical technique for securing sensitive information by substituting it with non-sensitive tokens. This process plays a crucial role in data protection, especially in industries handling large volumes of personal or financial information. Here, we explore the top data tokenization tools of 2024 to help organizations find the right solutions for protecting their data.

Data breaches and network security threats are becoming a major problem for companies. The goal is not only to detect attacks but to stop them from happening in the first place. Fidelis Network DLP gives businesses a strong and integrated system to protect sensitive data. By preventing data leaks across all network traffic, Fidelis Network DLP helps businesses protect themselves from both external cyber-attacks and insider threats.

Data Loss Prevention (DLP) solutions are essential for safeguarding valuable data. They scan traffic to prevent the transmission of sensitive information such as credit card details and personal identifiable information (PII) such as Social Security Numbers (SSNs). However, traditional DLP solutions are often complex to configure, manage, and operate.

When engineering teams move their workloads to the cloud, it’s often possible that sensitive data—such as credit card numbers, login credentials, and personally identifiable information (PII)—unintentionally moves to the cloud with them. To secure this data, avoid costly breaches, and meet GRC requirements, these teams often catalog where this data is stored and establish the right controls to limit access.

The digitalization of healthcare organizations has revolutionized the way patient data is collected, stored, and managed. However, it also introduces many challenges, especially related to data security. As cyberattacks grow more sophisticated, often resulting in expensive data breaches, the importance of data security for healthcare organizations has never been more critical.