Since the early 1980s, computer scientists have contemplated the idea of cyberimmunity, but at that time, no algorithms could adaptively learn complex patterns and extrapolate to new ones. With recent progress in AI and deep learning, scientists would be able to replicate the two main features of an adaptive immune system — learning and memory. These algorithms would automatically model every device, user and network within an enterprise, allowing the system to build a full understanding of how information normally flows. This would let the program extrapolate a “threat visualization interface” to topographically map out the largest threats, thus letting cybersecurity analysts focus on top or in progress threats. Logic behind this idea: Biological immune system obviously works, so why not build a cyber immune system to protect digital systems? http://singularityhub.com/2015/12/2...e-systems-may-be-cybersecurity-of-the-future/ While it sounds really cool in theory, I'm not sure if we'd see its practical use soon. The biggest con that comes to mind is if there are immune systems, there are also autoimmune diseases. Hackers could use artificial immune system against the system, or shut it down completely (like HIV).