Cuatroochenta develops a proprietary AI model to classify cybersecurity alerts with a 95% success rate as part of a project with INCIBE



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## Cuatroochenta develops a proprietary AI model to classify cybersecurity alerts with a 95% success rate as part of a project with INCIBE The solution is part of the AI4CYBERSOC project that Cuatroochenta is developing in collaboration with the National Institute of Cybersecurity (INCIBE) to optimise the efficiency and management of cybersecurity alerts and in which the Universitat Jaume I of Castelló also participates

09/05/2025 |
SCP

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* [![ cuatroochenta-alertes-ciberseguretat equipo](/com/noticies/2025/5/1q/cuatroochenta-alertes-ciberseguretat/equipo.jpg)](#)

Cuatroochenta, through its Applied Innovation department and its cybersecurity subsidiary [Sofistic](http://cuatroochenta.us6.list-manage.com/track/click?u=59501bd3dd3180545044cbba0&id=7682afe857&e=3d73ca62b6), has developed an advanced artificial intelligence model for the classification of cybersecurity alerts according to their risk. The development is part of a project with the National Institute of Cybersecurity (INCIBE), an entity under the Ministry for Digital Transformation and Public Function, through the Secretary of State for Telecommunications and Digital Infrastructure. This solution, which combines the latest deep learning and language analysis (LLM) technologies, has demonstrated 95% accuracy in designating the criticality of alerts compared to manual human analysis.

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