SecBERT is an Apache-2.0-licensed BERT model trained for cybersecurity and threat intelligence text. Developers can load it locally with Transformers and PyTorch for fill-mask and related security-language tasks.
SecBERT is an Other models project. It focuses on applying cybersecurity-specific language understanding to threat intelligence and security text analysis. SecBERT is an open-source project aimed at cybersecurity researchers and threat intelligence developers. The project is open source (MIT). SecBERT is available on the web, API, and the command line, and it can be self-hosted.
jackaduma builds and maintains SecBERT, and it first shipped in 2020. Development happens publicly on GitHub with 211 stars. Key capabilities include fill-mask prediction, transformers support, and pyTorch support.
Summary written by a language model from the project’s public pages.
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