AUTOMATED GENERATION OF LABELED TRAINING DATA

Described are techniques for automated generation of labeled datasets for training an AI model to identify a cyberattack. The techniques include receiving configuration information for simulating a cyberattack against a target computer network. The techniques further include executing a cyberattack simulation, based on the configuration information, against the target computer network, where one or more attack log files containing information related to the cyberattack simulation are generated by resources of the target computer network in response to the cyberattack simulation. The techniques further include generating labeled training data from the one or more attack log files to correspond to specifications of the target computer network, and training an artificial intelligence (AI) model to identify the cyberattack in the target computer network using the labeled training data.