Knowing what devices are connected to the network at all times enables rapid security threat investigations and remediation, while helping to improve overall IT management and optimization. Such data can assist with a number of IT use cases, not the least of which is cybersecurity. Device recognition technology can be used to identify and recognize every network-connected device and collect rich data about those devices, such as manufacturer, model and operating system. Let’s dive a little deeper into device recognition and user authentication, and how each method works to enhance security: Device RecognitionĪs digital transformation initiatives accelerate, IT teams are under intense pressure to identify, track and manage an increasingly wide array of connected devices to mitigate the risk of unauthorized access, data theft, and malicious attacks. A Closer Look at Device Recognition and User Authentication We’ll also examine how device recognition and user authentication can be combined to enable a multi-factor authentication approach, for a more robust and secure solution than possible using either method by itself. In this blog post, we’ll explore the advantages and disadvantages of each method for improving cybersecurity and discuss scenarios where one method may be more suitable than the other.

While device recognition and user authentication perform similar jobs, there are pros and cons for both. Device recognition involves identifying and verifying the devices that are connecting to a network, and user authentication involves verifying the identity of users attempting to access the network. Device recognition and user authentication are two popular methods for improving cybersecurity.

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