. https://www.exabeam.com/ueba/deep-learning/

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USING DEEP LEARNING TO REDUCE THE SECURITY RISKS OF UNMANAGED DEVICES
Whether it’s an employee’s cell phone, a contractor’s iPad, or a virtual machine (VM) created by a compromised account for malicious purposes, any unmanaged device on your network should be considered a security risk. Whether legitimate, or unauthorized, or rogue, such unmanaged devices create blind spots. They’re an open attack surface accessible to hackers—with consequences that can include compromised intellectual property, leaked data, and destruction of brand. Reducing security risks from such unknown physical or virtual devices is a multi-step, multi-faceted effort. Organizations should start with a comprehensive device management and security policy that includes NAC and MDM tools to help track known devices. But no such tool provides 100 percent visibility. The critical next step is to immediately recognize and identify the presence of any unmanaged devices on your network, which is where data science can play a role. READ MORE