Machine Learning in secure systems

Sadly today’s security systems often be hacked and sensitive informations get stolen. To protect a company against cyber-attacks security experts define a “rule set” to detect and prevent any attack. This “analyst-driven solutions” are build up from human experts with their domain knowledge. This knowledge is based on experiences and build for attacks of the past. But if any attack don’t match the rules, the secure system don’t recognizes it and the security is broken.

The question is: Is there a possibility to train a model based on past attacks to predict further attacks?

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