MITRE has launched D3FEND 1.0, a revolutionary cybersecurity ontology and knowledge base developed in partnership with the National Security Agency, the Cyber Warfare Directorate in the Office of the Under Secretary of Defense for Acquisition & Sustainment, and the Office of the Under Secretary of Defense for Research and Engineering. This framework enhances cybersecurity operations with features like the Cyber Attack-Defense Tool and expanded taxonomies for identity and access control. We invite industry professionals to explore D3FEND 1.0 and join us in advancing cybersecurity defense. #Cybersecurity #Innovation #D3FEND https://lnkd.in/dvrhtzry
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MITRE has officially launched D3FEND 1.0, a cybersecurity framework designed to standardize the language and methods used to counter cyber threats. This body of work aims to provide a stable and adaptable framework for cybersecurity operations and strategic decision-making. Here are some key features of D3FEND 1.0: Cyber Attack-Defense (CAD) Tool: Allows users to apply the full ontology to specific cybersecurity scenarios, facilitating the mapping of defensive techniques to offensive tactics. Expanded Defensive Techniques: Includes additions for identity and access control concepts, operational technology, and source code hardening, enhancing its applicability across various cybersecurity domains. Ontological Precision and Extensibility: Built upon OWL 2 DL, D3FEND 1.0 ensures compatibility for broader semantic applications, promoting integration and extensibility. Developed with support from the National Security Agency (NSA) and the U.S. Department of Defense, D3FEND 1.0 reflects the collective expertise of a diverse cybersecurity community. MITRE encourages ongoing engagement and feedback to refine and expand the framework, ensuring it remains valuable across a wide range of cybersecurity domains. #CyberSecurity #MITRE #D3FEND #CyberDefense #BlackpointCyber
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Keoki Jackson, D3FEND is a great advance in the rigorous systematization of cybersecurity knowledge. This is why my collaborators and I analyzed it (then version 0.11.0-BETA-1) by well-founded ontological means. We found some semantic issues and opportunities for improvements, described in our paper "Boosting D3FEND: Ontological Analysis and Recommendations" (https://doi.org/10.3233/FAIA231138). We exchanged information with Peter Kaloroumakis, whom we congratulate for the monumental effort in this project. We would be happy to collaborate with you and contribute to D3FEND. Gal Engelberg, Pedro Paulo Favato Barcelos, Tiago Prince Sales, Mattia Fumagalli, Riccardo Baratella, Dan Klein, Giancarlo Guizzardi