IoT Cybersecurity in the Future Could Pit AI against AI

In any event, machine learning has already changed the rules of the IoT cybersecurity game, says Thomas Dinsmore, director of product marketing for data science at Cloudera, making it look more like a chess match that pits machine against machine. "For instance, segmenting vulnerable or potentially vulnerable IoT or other devices into a separate network, or limiting their Internet access, thereby creating hurdles for hackers and machines attempting to attack the network." At present, security operations are beginning to make greater use of machine-learning-based software to identify vulnerabilities, says Shaun Cooley, CTO of IoT and Industries at Cisco. "Again, it's the human element that is critical here--whether it is humans being lax when training machine learning cybersecurity algorithms, losing control over powerful cyberweapons, humans corrupting machine learning through malicious inputs undetectable by human eyes, or humans believing that a given technology will make them safe," McCleary says.