Agile conformance assessment for cybersecurity CERTIFication enhanced by Artificial Intelligence

Informations projet

CERTIFAI

N° de convention de subvention: 101120606

DOI

10.3030/101120606

Projet clôturé

Date de signature de la CE 4 Juillet 2023

Date de début 1 Septembre 2023

Date de fin 31 Août 2026

Financé au titre de

• Civil Security for Society

Coût total

€ 4 802 650,00

Contribution de l’UE

€ 3 896 405,26

Coordonné par

FUNDACION TECNALIA RESEARCH & INNOVATION
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (2)

Comprehensive threat modelling framework-Initial Version

Initial version of a schema for the description of threats in the evaluated system which includes the targeted technology domains and contains relationships to security requirements for further risk management processes

Definition of the predictive model-Initial Version

Initial version of the report with the detailed definition of the factors involved in the predictions and their degree of influence. Steps and process for the use of the predictive model and the establishment of development and operation scenarios: how the predictive model can help decision making. Detailed design of the algorithms. The tool itself will be part of D6.2.

Demonstrators, pilots, prototypes (2)

CERTIFAI Framework-Inital Version

Initial version of the deliverable reports on the CERTIFAI software framework and methodology for certification, which considers the specific objectives defined by the CERTIFAI project and integrates the results of WP2-WP5

Project public website and social media

The CERTIFAI public website will provide information about the project, publications, news, and events

Publications

Conference proceedings (5)

The Emerging Role of Large Language Models in Threat Modelling: A Survey

Auteurs: Petter Buseth, Ahmed Amro, Athanasia Kollarou, Michail Takaronis, Riku Lehkonen, Sarang Shaikh
Publié dans: 2026 IEEE 5th International Conference on Computing and Machine Intelligence (ICMI), 2026
Éditeur: IEEE
DOI: 10.1109/ICMI68585.2026.11539950

Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis

Auteurs: Fariz Ikhwantri; Dusica Marijan
Publié dans: Proceedings of the 30th International Conference on Evaluation and Assessment in Software Engineering (EASE 2026), 2026
Éditeur: Association for Computing Machinery (ACM), for the conference proceedings
DOI: 10.48550/ARXIV.2604.20577

Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection

Auteurs: Fariz Ikhwantri, Dusica Marijan
Publié dans: 2025 IEEE International Conference on Big Data (BigData), 2025
Éditeur: IEEE
DOI: 10.1109/BIGDATA66926.2025.11401435

ThreatSpider: CTI-Driven Semi-Automated Threat Modelling for Cybersecurity Certification

Auteurs: Ahmed Amro, Georgios Kavallieratos
Publié dans: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Éditeur: IEEE
DOI: 10.1109/CSR64739.2025.11130133

Reflections and Factors in Applying Threat Modelling Tools for Cybersecurity Certification in Critical Infrastructure

Auteurs: Ahmed Amro, Vasileios Gkioulos, Claudia Lutze, Jean-Marie Lauranson, Maria Maslioukova, Pavlos Kosmides, Christina Michailidou, Pedro-Tito Macías-Roselló, Evgeny Prokofyev, Antoliano Davila, Tanel Kerstna, Per Myrseth, Meine Van Der Meulen
Publié dans: Proceedings of the 2026 ACM/IEEE 7th International Workshop on Engineering and Cybersecurity of Critical Systems, 2026
Éditeur: ACM
DOI: 10.1145/3786160.3788470

Monographic books (1)

Uncertainty-Aware Threat-Informed Test Case Prioritization with Human-in-the-Loop

Auteurs: Darshana Abeyrathna Kuruge; Juan Camilo Guevara Gomez; Meine van der Meulen; Per Myrseth; Andreas Hafver
Publié dans: 2026, ISSN 0302-9743
Éditeur: Springer