Data is regarded as the most valuable asset in today’s business world. The examples of critical data include e-commerce data, e-banking data, and Personally Identifiable Information (PII). Therefore, data security is, and data breaches have become an international concern for individuals as well as organizations. The role of the Cybersecurity Risk Management Framework (RMF) in data security is indispensable. The RMF provides a structured, disciplined, and flexible process for managing the privacy and security risks that include information security categorization, control selection, assessment, and implementation, as well as system and control authorization and continuous monitoring.
Nowadays, most of the IT systems use file-based architectures to store and process information. In addition, the critical applications such as operating systems, application binaries, configuration data of systems and applications, organization’s sensitive data, logs, and data which is pertinent to security events are stored in files. If any of these files is compromised, the financial and reputational damage occur to organizations. Therefore, ensuring the integrity and security of critical files extremely is important than ever. This is the reason File Integrity Monitoring (FIM) services come into place.
Messages are one of the most popular ways of communication today. Most organizations and firms accept that the simplest method for transferring data is through Emails. According to Business Matters, a leading business magazine in the UK, there are plenty of vital areas in the business world, but there aren’t many more essential or important than Emails. Although Emails has paramount importance in modern day business, the emergence of sophisticated cyber-attacks is very dangerous for this communication method. Malicious actors have developed various phishing assaults which can endanger your business.
Security analytics is not a particular tool, rather it is an approach to cybersecurity. Thorough analysis of data in order to implement proactive security measures is the essence of security analytics. It includes gathering data from every possible source to identify patterns. Nobody can predict the future but with cybersecurity analytics, you can make pretty accurate, informed guesses about it.
Today, the majority of our critical systems are intertwined with each other and are administrated by/through computers. Many decisions are automated and our lives are to some extent reliant on IoT connected devices. A great deal of our data is on cloud storage facilities and almost all of our personal data is stored in a device that has internet connection.