We present CyBERT, a domain-specific Bidirectional Encoder Representations from Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data.

This repository provides pre-trained weights of CyBERT, a language representation model for the cybersecurity domain. This model can be used for a variety of cybersecurity-based …

CYBERT BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work …

What is Carbon Computers' CyberT? The CyberT is a portable, compact, and rugged device designed primarily for pentesters, makers, system administrators, and open source software …

May 27, 2025 · Born from our passion for compact Linux systems and mobile cybersecurity tools, CyberT. It is a powerful, modular device built around the Raspberry Pi Compute Module 4 (CM4).

CyBERT can support existing pipelines by providing the ability to contextually understand cybersecurity threats, exploits, attack-vectors, and adversaries. CyBERT can do this by …

Nov 4, 2021 · CyBERT is intended to be used as a cybersecurity-specific classification model for detecting cybersecurity claims. This NLP model enables us to identify claims from a large pool …

We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional encoder representations from transformers and a key component in our semi-automated cybersecurity …

Dec 15, 2021 · CyBERT on a v ariety of cybersecurity specific down-stream tasks in Section IV and conclude and discuss future work in Section V.

We present CyBERT, a domain-specific Bidirectional Encoder Representations from Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data.