Infrastructure Management

In a previous blog, we outlined the essential steps that organizations should take within the first two days after the detection of a ransomware attack. In this follow-up post, we’ll discuss what an organization should do after the initial response to reduce the risks of future attacks. We’ll also highlight how Progress Flowmon can support ongoing network monitoring, early detection of attacks and reduction of further damage.

Imagine yourself wearing the hat of a network engineer, where no two days at work are alike. In this dynamic environment, you're often the first point of contact when something remotely IT-related goes wrong, with users frequently pointing fingers at the network. Yet, your expertise lies in knowing the intricacies of network traffic, a vital skill for addressing operational and performance challenges.

AI-powered Network Detection and Response (NDR) solutions have become a staple for identifying the subtle indicators of unknown threats, a crucial element in the constant battle against cyberattacks. While NDR excels in unveiling the shadows of the unfamiliar, it is the traditional signature-based Intrusion Detection Systems (IDS) enabling security teams to maximize protection and facilitate targeted responses, particularly when confronting well-known malware. In this article, we delve into the distinct benefits of both AI-driven NDR and conventional approaches. We will also unravel compelling reasons why the integration of these technologies are strategic imperatives in assisting to fortify cybersecurity defenses.

In the ever-evolving landscape of cybersecurity threats, cryptojacking has emerged as a stealthy and financially motivated attack method. In attacks of this type, cybercriminals hijack servers (or endpoint devices) to use the computing resources to “mine” cryptocurrencies. They get a financial benefit from this activity when they sell the newly minted currencies.