Global Bigdata Conference
It has become common practice for attackers to use Artificial Intelligence (AI) and Machine Learning (ML) to link tools together so that they can be run in parallel when conducting an attack. Attackers use AI and ML to take the results from one tool and then allow the other tools to "learn" about the finding and use it against other systems. As an example, if a one tool finds a password, that tool can feed the information to another tool or bot that may conduct the exploitation of one or many systems using the discovered password. AI and ML allows for an attacker to program a toolset or bot to act like a "real" attacker. As an example, the tool or bot may launch a phishing attack against an organization and then take the results of the phishing tool and conduct other types of attacks just as a human would.
Feb-9-2017, 05:45:11 GMT