This method includes a Python script and files of a SecureBERT model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will be fed to the model. The method's output is a list of predictions, i.e. the labels assigned to each token of each of the sentences fed to the model. INPUT= sentences: string[] OUTPUT= predictions: list(list(dict(string, string))) SecureBERT is a cybersecurity language model that successfully automates many crucial cybersecurity operations that would otherwise require human expertise and time-consuming manual efforts. It does this by capturing text connotations in cybersecurity text.