DICYME Blog

DICYME - DeNexus at International Congress of Cybersecurity: Companies, Research and Society

DICYME Team — Thu, 09 Oct 2025 10:49:53 GMT

Cybersecurity has always demanded continuous research and training to stay ahead of evolving threats. With the advent of quantum technologies, this forward-looking approach is more critical than ever. Professionals in the field must not only adapt to quantum innovations but also understand their far-reaching implications—preparing organizations for a future of more resilient and sophisticated security systems.

DICYME project featured at JNIC 2025 conference

DICYME URJC Team — Thu, 09 Oct 2025 10:47:34 GMT

The DICYME project was featured at the National Cybersecurity Research Conference (JNIC 2025), held in Zaragoza, where some of the project’s most recent and innovative results were presented. The participation was led by our colleague Javier Sánchez, who represented the project team at the conference. This activity is part of DICYME’s dissemination efforts and helps to increase the visibility of the outcomes being developed within the project.

VISCA: A data-driven approach to victim profiling and attractiveness modeling

DICYME Team — Thu, 09 Oct 2025 10:46:00 GMT

Victim Insight System for Cyber Attacks (VISCA) is our multi-agent system that turns scattered breach reports into solid, structured context about who was attacked and what those organizations look like. We built it to enrich a repository of OT and critical infrastructure cyber incidents by automatically identifying the victim and attaching firmographic facts (industry, country, size, revenue, NAICS, public/private, etc.).

DICYME at Computer Science and Information Systems

DICYME Team — Thu, 09 Oct 2025 10:43:12 GMT

Javier Sánchez García-Ochoa, Alberto Fernández Isabel, Clara Contreras Nevares, Rubén Rodríguez Fernández, Isaac Martín de Diego, and Marta Beltrán Pardo publish "Defining the Attractiveness Concept for Cyber Incident Forecasting" in Computer Science and Information Systems. The international journal published by ComSIS Consortium

DICYME - DeNexus at III Cybersecurity week at UAX

DICYME Team — Thu, 10 Apr 2025 13:06:15 GMT

We participated in the III Cybersecurity Week with our talk "Leveraging Data & AI for Cyber Risk Management", where we explored how data science and AI can generate actionable insights to help build more resilient organizations.

DICYME Cyber Risk Calculator

DICYME Team — Mon, 03 Mar 2025 05:00:00 GMT

Cyber Risk Quantification

Cyber Risk Quantification (CRQ) is the process of assessing and calculating the potential financial impact of cyber threats on an organization. It translates cybersecurity risks into business-relevant terms, allowing organizations to understand the monetary value of their risk exposure. In other words, Cyber Risk Quantification (CRQ) calculates risk exposure and its potential financial impact on an organization in business-relevant terms, providing a way for organizations to drive alignment between security strategy and business objectives.

Harnessing LLMs for cybersecurity risk assessment in DICYME

DICYME Team — Mon, 03 Feb 2025 05:00:00 GMT

The DICYME project leverages artificial intelligence to enhance cybersecurity risk assessment through the use of Large Language Models (LLMs). These models provide automated insights and explanations to help users interpret complex cybersecurity data. To ensure efficiency, security, and reliability, DICYME has developed a robust local infrastructure to process and generate responses without reliance on external services.

Exploring the visual interface of the DICYME web app

DICYME Team — Sun, 15 Dec 2024 05:00:00 GMT

The DICYME project, a collaboration between the Rey Juan Carlos University (URJC) and DeNexus, has developed a cutting-edge web application designed to facilitate cybersecurity risk assessment. This interactive platform combines advanced data analytics and artificial intelligence (AI) with an intuitive visual interface. It is structured into three primary modules, guiding users seamlessly from data exploration to risk quantification, ensuring a comprehensive understanding of cybersecurity risks and challenges.

Knowledge transfer in the DICYME project: R and cybersecurity risk analysis

DICYME URJC Team — Fri, 01 Nov 2024 04:00:00 GMT

The DICYME project is not only dedicated to developing cutting-edge tools for cybersecurity risk assessment but also emphasizes knowledge transfer and dissemination of results. A significant example of this commitment was the recent talk at the Madrid R Users Group, where Emilio López, a researcher from the university team of the DICYME project, presented real-world applications of R in the DSLAB (Data Science Laboratory) at Rey Juan Carlos University (URJC).

AI to Map Software Vulnerabilities to Cyberattack Techniques

DICYME Team — Mon, 15 Jul 2024 04:00:00 GMT

Identifying vulnerabilities that are actively exploited by the attackers, and understanding how a vulnerability can enable the attacker at each stage of the attack life cycle is critical for vulnerability assessments.