State-of-the-Art and feedback
The attackers are gaining ground! That is how many Cyber Security Managers, and Operational Managers with responsibility for cyber-security within their companies, see the situation. Constantly on alert, without ever really knowing whether their defence mechanisms are working fully, they sometimes feel they are increasingly bogged down in detection and response processes that are always too slow and not always fit for purpose, as well as being huge consumers of human resources that are both rare and expensive. And all the while up against attackers often seen as being quick, agile and stealthy.

In this permanent cat-and-mouse game, the defenders would really love to finally have a truly revolutionary solution that allowed them to get ahead of the game, i.e. gaining a significant advantage over their foes. It is therefore no surprise that 75% of them believe that artificial intelligence and Machine Learning represent this much desired silver bullet.

In order to get a clear overview of what the real situation is, between the advertising barrage and the reality of what is happening today, we need to look a little more closely at the details of what AI can or could be able to do, in what contexts, for what specific uses and thus to assess both its value and its limits. This is what this document is intended to do, drawing on Thales’ experience in this field.
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