It is crucial to invest in cyber security due to state of cybersecurity today. Before making any decisions concerning the security posture of your business, you must consider the Return on Security Investment. In this article, we took a closer look at what ROSI is and how it is calculated.

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.

Digital transformation is creating rapidly growing volumes of data, leading to new vulnerabilities and attack vectors. At the same time, adversaries are growing increasingly more sophisticated – consider the recent Capital One breach, or the Equifax breach. This combination of factors means SOCs are struggling to fulfill their critical mission of identifying and eliminating threats.

Nowadays, a lot of attention is being paid on the SOAR vs. SIEM debate. To get the most benefit from your security data, it is vital to understand the difference between these essential cybersecurity tools. Although SOAR and SIEM have several components in common, we cannot use these tools interchangeably as they are different in nature.

In our recent article, we outlined the benefits of Security Information and Event Management (SIEM) systems, and why it is a must-have for every organization that operates in today’s cyberspace. It remains the best solution that proactively targets proliferating security threats, though SIEM also brings a number of risks and challenges. In this blog, we address these challenges and explain how they can be overcome by opting for SIEM-as-a-Service instead of on-premises or other options.

SIEM security that is equipped with Artificial Intelligence (AI) and user behavior analytics can deal with internal threats. AI capabilities in SIEM help security professionals to automate tasks that are otherwise manual and repetitive. Doing so can also help to swiftly detect threats and suspicious activities in network traffic and event logs.

Not investing in Security Incident and Event Management solutions means you’re missing out on significant business benefits. SIEM detects and responds to security incidents in real time, which reduces the risk of noncompliance. It also helps realize greater value across all underlying security technology and systems. Reporting with SIEM is more comprehensive and less time-intensive, helping to reduce capital and operational costs through consolidation.

In regard to rising trends and forms of attacks, a growing number of organizations opt for SIEM solutions so that they can provide a proactive measure for threat management and also acquire a detailed and centralized view of the overall security measures of their organization. Since SIEM is the foundation of a security infrastructure, there are large varieties of SIEM use cases.

Due to the revolution of the internet, cyber-attacks on unsecured networks are increasing tremendously and organizations are on the verge of data breaches. Securing proprietary information, Personally Identifiable Information (PII), or any other sensitive data have become a daunting task. Preventing business disruption, information theft, and reputational loss is necessary to thrive and survive in the competitive industry.

An industry that is worth more than $2 billion, SIEM keeps growing and evolving. The first instances of SIEMs appeared as descendants of numerous security technologies: LSM, SIM, SLM/SEM, SEC and such. The earliest versions were so limited that they were barely able to scale across large companies and were rather slow. They also needed huge teams to manage thus raising the costs ever-higher. However, SIEMs have changed greatly since.