Machines powered by artificial intelligence and machine learning techniques like neural networks will increasingly take on hacking capabilities in the near future. Within the next year, threat monitoring and analytics may improve slightly as smart networks become more important. The DARPA Cyber Grand Challenge in 2016 will showcase fully automated systems that can reverse engineer unknown software and find/fix vulnerabilities, pointing to greater autonomous hacking abilities in machines within 5-10 years. By 10 years, quantum computers may render current encryption useless and human hackers may struggle to keep up with the pace of machine hackers utilizing bulk techniques. Networks will need to evolve rapidly to stay ahead of the hacking capabilities of advancing AI.