In previous blogs on the Netskope NewEdge network, we’ve discussed concepts including Secure Access Service Edge (SASE) architecture and why counting data centers alone is meaningless when trying to understand cloud service coverage. Now that we’ve laid the foundation it seems like a good time to get into what’s needed in terms of architecting the actual network and the connections required.
The old security model, which followed the “trust but verify” method, is broken. That model granted excessive implicit trust that attackers abused, putting the organization at risk from malicious internal actors and allowing unauthorized outsiders wide-reaching access once inside. The new model, Zero Trust networking, presents an approach where the default posture is to deny access.
VPN stands for virtual private network. It allows you to hide your public IP address and browse privately on the internet without being tracked or watched. Basically, a VPN offers you a thick layer of privacy when using your home Wi-Fi or public. These networks were originally designed for big businesses and governments that wanted to keep their activities secret and secure.
In its latest announcement of Traffic Director’s support for gRPC Proxyless services in service mesh Google addresses the well-known (yet less spoken of) trade offs for using sidecars to handle networking on behalf of your applications.
Being a supporting protocol in the Internet protocol suite, ICMP is often preferred by network devices to send error messages and similar information. Keep reading to learn more! In order to maintain the security and safety of networks, maintaining a successful communication between devices is essential. That is why protocols like ICMP are very important and popular as of today. In this article, we will discuss what ICMP is and why you need it. What is ICMP?
Stateful packet inspection is also known as the dynamic packet filtering and it aims to provide an additional layer of network security. Keep reading to learn more! In business environments, we use network technologies very often. They allow us to share resources and files, set communication protocols and such. As much as they streamline and accelerate our business processes, they can also pose a serious vulnerability for our cyber security.
Virtual Private Networks, or VPNs, are not exactly a new technology. When I started my career in IT about 15 years ago, VPN tunnels were the standard way we connected remote offices by extending private networks over the public Internet. Recently, as workforces continue to decentralize due to the rise of Cloud Computing as well as the current pandemic, VPN has become an even hotter topic and is being marketed as a critical security solution.
In Part 1 of this blog series, we took a look at how we could use Elastic Stack machine learning to train a supervised classification model to detect malicious domains. In this second part, we will see how we can use the model we trained to enrich network data with classifications at ingest time. This will be useful for anyone who wants to detect potential DGA activity in their packetbeat data.
WiFi signals can be put into two different categories, unencrypted and encrypted. Unencrypted WiFi, sometimes known as open WiFi, can be connected to without a password. Anyone with a phone, tablet, PC, video game system, or Internet of Things device within range of the open WiFi signal can use it as long as there aren’t more devices connected to the wireless access point than it can handle. But the data being sent to and from your device through the open WiFi signal is unencrypted.
Software-defined wide area networking (SD-WAN) is a distributed networking approach that provides organizations a sustainable alternative to high latency hub-and-spoke network topologies.
