ATT&CK BERT: a Cybersecurity Language Model ATT&CK BERT is a cybersecurity domain specific language model based on sentence transformers. ATT&CK BERT maps sentences representing attack actions to a semantically meaningful embedding vector. Embedding vectors of sentences with similar meanings have a high cosine similarity. Usage (Sentence Transformers) Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: To use ATT&CK BERT to map text to ATT&CK techniques Check our tool SMET: https://github.com/basel a/SMET License: apache 2.0
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