What If Deep Learning Was Given Command Of A Botnet?

Not a day goes by without some fascinating new advance in deep learning, yet most of the conversation around deep learning in the cybersecurity realm has focused on its defensive capabilities, using AI algorithms to hunt through network and server logs to ferret out anomalous activity. This raises the fascinating question of what deep learning might be capable of as an offensive weapon of cyberwarfare. In the leadup to the US presidential election, the US Government proudly proclaimed that it had deployed its cyber warriors to burrow deep inside of Russian infrastructure systems in preparation for possible retaliatory strikes: "U.S. military hackers … penetrated Russia's electric grid, telecommunications networks and the Kremlin's command systems, making them vulnerable to attack by secret American cyber weapons should the U.S. deem it necessary." Such widespread infiltration likely took immense resources and preparation from a massive team of cyber experts. What if an organization like the NSA could instead simply fire up a deep learning algorithm, point it at the Kremlin and let the tool take it from there?