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Dynamic Industrial Cyber Risk Modelling Based on Evidence

Welcome to the blog DICYME research project, which focuses on automating cyber risk quantification and management in OT cybersecurity environments..

DICYME at Computer Science and Information Systems

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DICYME at Computer Science and Information Systems

Javier Sánchez García-Ochoa, Alberto Fernández Isabel, Clara Contreras Nevares, Rubén Rodríguez Fernández, Isaac Martín de Diego, and Marta Beltrán Pardo...

DICYME Cyber Risk Calculator

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DICYME Cyber Risk Calculator

DICYME proposes a simplified engine to CRQ

Harnessing LLMs for cybersecurity risk assessment in DICYME

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Harnessing LLMs for cybersecurity risk assessment in DICYME

Using AI agents to interpret data analytics outputs

Exploring the visual interface of the DICYME web app

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Exploring the visual interface of the DICYME web app

One of the DICYME outputs is an interactive platform that combines advanced data analytics and artificial intelligence (AI) with an intuitive visual...

AI to Map Software Vulnerabilities to Cyberattack Techniques

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AI to Map Software Vulnerabilities to Cyberattack Techniques

Using AI to better quantify cyber risk

Defining the Basal Attractiveness Concept for Cybercriminals

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Defining the Basal Attractiveness Concept for Cybercriminals

Note about the attractiveness index proposed by DICYME

A Dynamic Approach to Data-Driven Insights on Cyber Threat Actors

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A Dynamic Approach to Data-Driven Insights on Cyber Threat Actors

DICYME developed a data-driven threat actor landscape representation