By 2025, it’s estimated that cybercrime will cost the world $10.5 trillion annually—a figure that includes damage and destruction of data; theft of intellectual property, personal and financial data; disruption to business; restoration and deletion of hacked data and systems; and reputational harm.Read more
Network security is described as the implementation of technologies, processes, and protocols designed to safeguard an organization’s communications and information.Read more
Hallmarked by the application of machine learning to network metadata, Network Detection and Response leverages advanced intelligence and integrations with response-capable solutions such as NAC and SIEM to provide incredible visibility into an organization’s network traffic. This is a stark contrast to the traditional approach of leveraging thresholds and pre-defined traffic patterns to automate network alerts. While this approach works just fine for detecting certain threats—think DDoS or SYN scans as an example—there is just so much more we can do confidently with machine learning. Let’s explore some of the more popular Network Detection and Response use cases.Read more
In a previous blog I introduced you to the malware detection capabilities of Plixer’s intelligence product. I would like to circle back to some information shared in that blog to talk about its ability to detect behaviors like lateral movement across the LAN segments of the network related to data accumulation.
Before I get started, I want to talk about strategies used for network visibility and why flow technologies should be at the top of the list.Read more
In our new release of Scrutinizer version 19.1.0, we have included a handful of new reports that help to provide more information on the NetFlow collected from your network. These are the Client – Server reports, which can show directionality of requests and responses to give insight into who is asking for what and what kind of responses they get.Read more