As time goes by, data access security is becoming a more pressing requirement in the technological world. Companies are more aware of how important it is to guarantee that those that access corporate platforms are who they say they are. Since the number of data stored is growing exponentially, the risk of identity theft poses a serious threat.
The SD-WAN market is gaining more and more strength; software-defined and managed connectivity solutions provide ever more possibilities and functionalities to adapt to the reality of business networks. One of the key aspects that all companies value is security. In SD-WAN networks, security can be provided in a number of ways, from encrypting communications to firewall policies, through IDS and IPS tools to the element that forms the topic of this blog post: segmentation.
As mentioned in previous posts, IoT is an uprising concept that will change the world in which we live allowing a more efficient communication between devices. One of the technologies that is making a name for itself among other competitors in the low-power wide-area networks (LPWANs) is LoRa.
Banks are currently one of the primary targets of criminals; quick access to cash or personal bank account information is a juicy haul. Automated teller machines (ATMs) are a security weak point and while bank-located machines usually have cameras and other security measures in place, off-site ATMs installed independently don’t have the same kind of infrastructure. There are plenty of articles on the Internet about ATM skimming, which is when a thief attaches an external device to an ATM to capture a card’s electronic data, including the PIN, in order to recreate an exact copy of the card. See this link to read an article from the North American press on ATM skimming.