Click the titles to see the information of the Winners
DASKALOS APPS: SentinelSphere

Team Information
- Dr. Andrew McCracken
- Role: Software Development Lead
- Bio: Dr. McCracken holds a Ph.D. in Engineering with 15 years of experience in AI-driven software development and large-scale GDPR-compliant cloud solutions. As a co-founder of DASK, he has led numerous projects focused on real-time data processing and security applications.
- LinkedIn: Andrew McCracken
2. Dr. Nikolaos Tantaroudas
- Role: Technical Project Manager
- Bio: Dr Nikolaos Tantaroudas holds a Ph.D. in Engineering and an Executive MBA. Dr. Tantaroudas has extensive experience in managing multi-disciplinary teams and large-scale web cloud solutions. He oversees the technical execution and strategic direction of SentinelSphere.
- LinkedIn: Nikolaos Tantaroudas
Project Description: SentinelSphere
SentinelSphere is a cloud-based cybersecurity platform designed to enhance real-time threat detection, security event processing, and organizational situational awareness. The platform integrates predictive analytics, AI-driven incident forecasting, and a Traffic Light System to classify security risks, enabling both technical and non-technical users to assess cybersecurity threats effectively.
Key features of SentinelSphere:
- Real-Time Threat Detection: Processes structured and unstructured security data in real-time, leveraging AI to classify and predict cyber threats.
- Predictive Analytics & AI: Utilizes machine learning models to forecast security incidents with over 80% accuracy.
- Traffic Light System (TLS): A user-friendly risk classification mechanism (Red: High Risk, Yellow: Medium Risk, Green: Low Risk).
- LLM-Powered Chatbot: A knowledge-based AI assistant that provides explanations of cybersecurity incidents and recommended actions.
- Data Lakehouse Architecture: Aggregates and analyzes over 100GB of security incident data for cross-organizational threat intelligence sharing.
- Integration with ResilMesh: Seamlessly connects with ResilMesh via APIs for enhanced cybersecurity collaboration
Motivation for Participation in Resilmesh Open Call
The SentinelSphere team applied for the Resilmesh Open Call to contribute to the advancement of real-time cybersecurity resilience through innovative AI-driven event detection and collaborative threat intelligence.
Our key motivations include:
- Enhancing Cybersecurity Situational Awareness: Many organizations struggle with fragmented and overwhelming cybersecurity data. SentinelSphere simplifies risk assessment and security incident visualization through an AI-powered dashboard.
- Proactive Cyber Threat Forecasting: Current cybersecurity solutions focus on reactive measures. SentinelSphere integrates predictive analytics and real-time event processing to help organizations anticipate and mitigate threats before they escalate.
- Alignment with ResilMesh’s Mission: ResilMesh emphasizes secure, decentralized cybersecurity collaboration. SentinelSphere directly aligns with this goal by integrating anonymized security event data across multiple organizations, enabling a shared cybersecurity defense ecosystem.
- Scalability & Accessibility: SentinelSphere is designed to be easily adopted by both SMEs and large enterprises, ensuring accessibility and cost-effective cybersecurity resilience.
SEBURE: Odin Solutions
Team Information
Rafael Marin Perez (M) | Role: Project Coordinator & Senior Researcher in Cybersecurity & IoT/SCADA. Short Bio: Rafael is Research Director in ODINS. He received his Ph.D. in Computer Science, at UMU in 2012. Since 2006, he worked as full-time researcher on more 20 international projects like NEPHELE, ANASTACIA, DIAC, Smart2B, Fed4IoT, PRECEPT, and DEMETER, in the fields of IoT/Edge/Cloud Computing and CyberSecurity/Privacy/Trust. He has coordinated several national and EU research projects (i.e. SISAGRI, GUARDIAN, DIAC, FlexUM, CYSEMA) based on its knowledge and skills in SCRUM-Agile methodologies and ProjectManagementProfessional (PMP) to guarantee cost-effective coordination and seamless collaboration with the Resilmesh consortium. Links to CV/LinkedIn: https://orcid.org/0000-0002-8521-1864 https://www.linkedin.com/in/rafael-marin-perez-ict-phd-pmp-scrum-729930173/ | |
Ana Hermosilla (F) | Role: Senior Researcher in 5G/IoT, Cybersecurity and Orchestration. Short Bio: Ana is a full-time researcher in ODINS. She is finalising his industrial PhD in ODINS with the collaboration of the University of Murcia. Since 2017 she has participated on several H2020 projects such as ANASTACIA, 5GINSPIRE and 5GAPS. She is currently working on the HorizonEU 6G-PATH project, focusing on designing, developing, and orchestrating secure 6G/IoT innovations for vertical applications in scenarios of Smart Cities and Agriculture. Her research is focused on Software Define Network, Function Virtualization, Resources Management and Distributed IoT/Cloud Orchestration. Links to CV/LinkedIn: | |
Jesús Sanchez (M) | Role: Senior Researcher in Cybersecurity for IoT devices and SCADA building system Short Bio: Jesús is a senior researcher at ODINS. He received his Ph.D. in Computer Science, at University of Murcia in 2021. Since 2018, he has participated on international projects like CYSEMA, IoTrust, H2020 Plug-n-Harvest, REWIRE, HYPER-AI, Smart2B. His research interests include Cybersecurity, privacy and trust in LPWANs, SCADA and IoT/Edge/Cloud applied to multiple sectors like Smart Cities and Precision Agriculture. Links to CV/LinkedIn: https://orcid.org/0000-0003-2673-3790 https://www.linkedin.com/in/jesus-s%C3%A1nchez-g%C3%B3mez-7946a6133/ | |
María López Martínez (F) | Role: Junior Engineer in Software Development, IA and SCADA system. Short Bio: María is a junior engineer in IA and SCADA systems at ODINS. María has a degree in Computer Science from UMU since 2022. And she has performed the master’s degree in AI/Bigdata from UMU in 2023. Since 2023, she has participated on HE projects such as HYPER-AI. She has worked on datasets, artificial intelligence models and distributed data computing applied to SCADA systems for Smart Buildings and Precision Agriculture. Miriam has specialised in the programming with Python, Java, JavaScript, HTML5/CSS, C++. Link to CV/LinkedIn: https://www.linkedin.com/in/mar%C3%ADal%C3%B3pez-mart%C3%ADnez-761700219/ | |
Manuel Mora González (M) | Role: Senior Engineer in Software Development, IoT/SCADA & Smart City Short Bio: Manuel is a senior engineer at ODINS. He has a degree in Computer Science from UMU since 2001. He is working at ODINS since 2021 in different areas such as Systems Development for Smart City & Precision Agriculture, I+D+i research, and Cybersecurity. He has participated on several H2020 (i.e. DEMETER, PRECIMED, WATERMED) and national (i.e. OASIS, SISAGRI, GUARDIAN, DIRELMIVID, ESCIPION) projects, related to agri-food traceability, modernisation of irrigation and infrastructures, and IoT/SCADA solutions. Link to CV/LinkedIn: |
Project description
Nowadays, modern smart buildings become increasingly interconnected, and their operational technology (OT) networks and supervisory control systems (SCADA) are vulnerable to evolving cyber threats. The SEBURE (“SEcuring smart BUilding by enhancing OT networks and SCADA system with software actuators, REsilmesh mitigation, orchestration and enforcement”) project addresses this challenge by demonstrating the effectiveness of Resilmesh mitigation, orchestration, and enforcement operations within the OT domain, enhancing the cybersecurity framework of smart buildings managed by a SCADA system through innovative expansions to the Resilmesh Security Control plane producing two innovative outcomes for safeguarding the critical infrastructures, ensuring that smart buildings remain secure in the face of an evolving threat landscape. On the one hand, the project will introduce Mitigation Playbooks, designed to handle emerging cyber-attack types, backed by a new attack detection dataset with data collected during the project, that will optimize incident response strategies, ensuring that both known and unknown threats are effectively addressed. On the other, the project will develop novel Software Actuators tailored specifically to enforce cybersecurity actions in SCADA systems and the OT network that will respond dynamically to identified threats, enhancing real-time system defence. Finally, these SEBURE project innovations will be integrated within the Resilmesh platform.
Motivation for Participation in the Resilmesh Open Call
ODINS, an innovative SME in the ICT sector accredited by MINECO, ANCES and EU DigitalSME Alliance, has had from the beginning a strong interest in participating in the open call of the Resilmesh project. With a strong R&D track record in key areas such as IoT/6G, Edge/Cloud distributed computing, cybersecurity and AI data analytics, demonstrated in more than 40 research and innovation projects funded by H2020, HorizonEU, PRIMA, CDTI and AEI, ODINS is ideally positioned to contribute significantly to Resilmesh’s objectives. Our experience in the design and development of secure and interoperable products, including IoT devices, SCADA systems and AI-based services, for the management of infrastructures such as smart buildings, allows us to deeply understand the cybersecurity challenges faced by OT and SCADA systems in these scenarios. The increasing interconnectedness of these environments makes them particularly vulnerable to evolving cyber threats, and Resilmesh offers a crucial opportunity for ODINS to address these challenges. SEBURE will also open up possibilities for extending the building system in order to successfully address new niches in secure smart buildings market that represents an excellent business opportunity.
Xilbi Sistemas de Información SL

Team Information
Xilbi Sistemas de Información SL (XILBI)(https://www.xilbi.com/)
Xilbi Sistemas de Información SL (XILBI) is a Spanish IT technology provider, specialising in edge computing, cloud-native software, operating systems, and IoT applications. The organisation applies AI, XR, and cybersecurity expertise to develop robust solutions for critical infrastructure. It has participated in EU-funded R&I programmes under FP6, FP7, H2020, and Horizon Europe, among others. XILBI is also active in standardisation processes and commercial projects for renewable energy. Recognition includes the 2021 Copernicus Prize Catalonia/Spain for a PV fault detection and forecasting initiative.
Team Lead:
Pedro Branco, CEO, Founder & Project Coordinator (https://www.pedrobranco.com/)
Short Bio: Holds an MSc in Informatics Engineering and has over two decades of experience in ICT, IoT, and cyber-physical security. Has coordinated multiple EU-funded and ESA-funded projects, focusing on resilient system integration and data-driven solutions.
Fotovoltaica Macotera SL (FOTOMACO)(https://fotovoltaicamacotera.com/)
Fotovoltaica Macotera SL (FOTOMACO) is a Spanish SME active in renewable energy, agriculture, and tourism. It manages a photovoltaic power plant, providing both self-consumption electricity and surplus energy to the public grid. Agricultural operations cover 400 hectares of almond, pistachio, and maize fields, enhanced by IoT-based irrigation and resource monitoring. FOTOMACO has been involved in EU-funded projects focused on automation, energy management, and data-driven agritech. Industry collaboration supports ongoing innovations in sustainable energy production and advanced farming practices.
Team Lead:
Gregorio Sanchez, CEO, Founder & End-User Lead
Short Bio: Manages a photovoltaic power plant and oversees multiple R&D projects in renewable energy, agriculture, and tourism. Has extensive experience in European innovation programmes.
Project description
Project Acronym: RISE
Project Title: Resilient Intelligent Secure Energy Infrastructure
Selected Challenge: Extension to New Domains and Systems (Open Call 1)
The RISE project extends the Resilmesh platform’s capabilities to photovoltaic (PV) installations. Renewable energy facilities, particularly PV sites, are critical components of the energy grid but face unique vulnerabilities to both operational disruptions and cyber-attacks. RISE integrates:
Real-time Monitoring Agents and Edge Computing for immediate data collection and analysis.
AI-Driven Anomaly Detection that leverages both historical and real-time operational data, including Copernicus satellite information.
Secure Data Protocols to ensure end-to-end encryption, privacy safeguards, and resilience against cyber-physical threats.
The consortium involves Xilbi Sistemas de Informacion SL (XILBI) as a technology provider and Fotovoltaica Macotera SL (FOTOMACO) as the end-user, with validation occurring at a real-world photovoltaic facility. The RISE prototype will achieve TRL5, with the flexibility to adapt for other renewable domains such as wind and tidal power.
Objectives:
Integration of PV Infrastructure with Resilmesh: Facilitate seamless data flow between PV systems and the Resilmesh platform.
AI-Driven Threat Detection: Implement AI to identify operational anomalies and cyber intrusions in real time.
Dataset Contribution: Introduce new PV-oriented datasets (including synthetic cybersecurity scenarios) for Resilmesh’s AI training.
Real-World Validation (TRL5): Evaluate the integrated solution’s robustness and security performance in a functioning PV site.
Motivation for Participation in the Resilmesh Open Call
Participation in the Resilmesh Open Call 1 reflects a commitment to fortifying renewable energy infrastructures against both natural disruptions and malicious cyber-physical incidents. Key drivers include:
Enhancing Critical Infrastructure Resilience: Guaranteeing stable power generation and robust cyber defences in distributed energy systems.
Contributing Domain Expertise and Data: Offering diverse PV datasets, security scenarios, and operational insights to reinforce Resilmesh’s AI anomaly detection engines.
Promoting Collaboration and Innovation: Supporting knowledge exchange within the Resilmesh ecosystem to facilitate broader applications in solar, wind, or other renewable energy contexts.
Charge Cyber Safe (CCS): Team: Parity Platform P.C. and Lithuanian Cybercrime Center of Excellence for Training, Research & Education

Team Information
Christos Stefanatos (M)
(Parity Platform P.C.) Christos, Mechanical Engineer (MSc) Product manager for Parity Platform.He has multi-year product management experience and leads internal team of software engineers to develop EV Loader. Within the project he is liaising with CPOs and property owners, collecting feedback on privacy concerns and collaborates with software engineering team to define roadmap for new features.
https://www.linkedin.com/in/christosstefanatos/
Egidija Versinskiene (F), L3CE, Lithuanian Cybercrime Center of Excellence for Training, Research Egidija Versinskienė is a cybersecurity specialist with extensive experience in network security, cyber threat analysis, and penetration testing. She has participated in several major European cybersecurity projects, where she focused on securing critical infrastructure and operational technology (OT) environments.
Project description
The Charge Cyber Secure (CCS) project aims to extend and adapt the Resilmesh framework to the rapidly growing EV charging infrastructure by developing and deploying an interoperable and open source cybersecurity framework specifically designed for the EV Charging domain. The project partners are Parity Platform, software development SME that has developed EV Loader a software platform that helps business and property owners remotely monitor and earn revenue from EV Charging Stations, and L3CE (Lithuanian Cybercrime Center of Excellence for Training, Research & Education), experts in cybersecurity testing and evaluation.
Motivation for Participation in the Resilmesh Open Call
The Charge Cyber Secure (CCS) project aligns directly with the objectives of the Resilmesh Open Call by extending detection capabilities of Resilmesh to a critical and rapidly evolving OT domain: EV Charging Station (EVCS) Infrastructure
Click the titles to see the information of the Winners
DASKALOS APPS: SentinelSphere


SentinelSphere is a cloud-based cybersecurity platform designed to enhance real-time threat detection, security event processing, and organizational situational awareness. The platform integrates predictive analytics, AI-driven incident forecasting, and a Traffic Light System to classify security risks, enabling both technical and non-technical users to assess cybersecurity threats effectively.
Key features of SentinelSphere:
- Real-Time Threat Detection: Processes structured and unstructured security data in real-time, leveraging AI to classify and predict cyber threats.
- Predictive Analytics & AI: Utilizes machine learning models to forecast security incidents with over 80% accuracy.
- Traffic Light System (TLS): A user-friendly risk classification mechanism (Red: High Risk, Yellow: Medium Risk, Green: Low Risk).
- LLM-Powered Chatbot: A knowledge-based AI assistant that provides explanations of cybersecurity incidents and recommended actions.
- Data Lakehouse Architecture: Aggregates and analyzes over 100GB of security incident data for cross-organizational threat intelligence sharing.
- Integration with Resilmesh: Seamlessly connects with Resilmesh via APIs for enhanced cybersecurity collaboration

The SentinelSphere team applied for the Resilmesh Open Call to contribute to the advancement of real-time cybersecurity resilience through innovative AI-driven event detection and collaborative threat intelligence.
Our key motivations include:
- Enhancing Cybersecurity Situational Awareness: Many organizations struggle with fragmented and overwhelming cybersecurity data. SentinelSphere simplifies risk assessment and security incident visualization through an AI-powered dashboard.
- Proactive Cyber Threat Forecasting: Current cybersecurity solutions focus on reactive measures. SentinelSphere integrates predictive analytics and real-time event processing to help organizations anticipate and mitigate threats before they escalate.
- Alignment with ResilMesh’s Mission: ResilMesh emphasizes secure, decentralized cybersecurity collaboration. SentinelSphere directly aligns with this goal by integrating anonymized security event data across multiple organizations, enabling a shared cybersecurity defense ecosystem.
- Scalability & Accessibility: SentinelSphere is designed to be easily adopted by both SMEs and large enterprises, ensuring accessibility and cost-effective cybersecurity resilience.

Dr. Andrew McCracken
- Role: Software Development Lead
- Bio: Dr. McCracken holds a Ph.D. in Engineering with 15 years of experience in AI-driven software development and large-scale GDPR-compliant cloud solutions. As a co-founder of DASK, he has led numerous projects focused on real-time data processing and security applications.
- LinkedIn: Andrew McCracken
Dr. Nikolaos Tantaroudas
- Role: Technical Project Manager
- Bio: Dr Nikolaos Tantaroudas holds a Ph.D. in Engineering and an Executive MBA. Dr. Tantaroudas has extensive experience in managing multi-disciplinary teams and large-scale web cloud solutions. He oversees the technical execution and strategic direction of SentinelSphere.
- LinkedIn: Nikolaos Tantaroudas
SEBURE: Odin Solutions

Nowadays, modern smart buildings become increasingly interconnected, and their operational technology (OT) networks and supervisory control systems (SCADA) are vulnerable to evolving cyber threats. The SEBURE (“SEcuring smart BUilding by enhancing OT networks and SCADA system with software actuators, REsilmesh mitigation, orchestration and enforcement”) project addresses this challenge by demonstrating the effectiveness of Resilmesh mitigation, orchestration, and enforcement operations within the OT domain, enhancing the cybersecurity framework of smart buildings managed by a SCADA system through innovative expansions to the Resilmesh Security Control plane producing two innovative outcomes for safeguarding the critical infrastructures, ensuring that smart buildings remain secure in the face of an evolving threat landscape. On the one hand, the project will introduce Mitigation Playbooks, designed to handle emerging cyber-attack types, backed by a new attack detection dataset with data collected during the project, that will optimize incident response strategies, ensuring that both known and unknown threats are effectively addressed. On the other, the project will develop novel Software Actuators tailored specifically to enforce cybersecurity actions in SCADA systems and the OT network that will respond dynamically to identified threats, enhancing real-time system defence. Finally, these SEBURE project innovations will be integrated within the Resilmesh platform.

ODINS, an innovative SME in the ICT sector accredited by MINECO, ANCES and EU DigitalSME Alliance, has had from the beginning a strong interest in participating in the open call of the Resilmesh project. With a strong R&D track record in key areas such as IoT/6G, Edge/Cloud distributed computing, cybersecurity and AI data analytics, demonstrated in more than 40 research and innovation projects funded by H2020, HorizonEU, PRIMA, CDTI and AEI, ODINS is ideally positioned to contribute significantly to Resilmesh’s objectives. Our experience in the design and development of secure and interoperable products, including IoT devices, SCADA systems and AI-based services, for the management of infrastructures such as smart buildings, allows us to deeply understand the cybersecurity challenges faced by OT and SCADA systems in these scenarios. The increasing interconnectedness of these environments makes them particularly vulnerable to evolving cyber threats, and Resilmesh offers a crucial opportunity for ODINS to address these challenges. SEBURE will also open up possibilities for extending the building system in order to successfully address new niches in secure smart buildings market that represents an excellent business opportunity.

Rafael Marin Perez
Role: Project Coordinator & Senior Researcher in Cybersecurity & IoT/SCADA.
Short Bio: Rafael is Research Director in ODINS. He received his Ph.D. in Computer Science, at UMU in 2012. Since 2006, he worked as full-time researcher on more 20 international projects like NEPHELE, ANASTACIA, DIAC, Smart2B, Fed4IoT, PRECEPT, and DEMETER, in the fields of IoT/Edge/Cloud Computing and CyberSecurity/Privacy/Trust. He has coordinated several national and EU research projects (i.e. SISAGRI, GUARDIAN, DIAC, FlexUM, CYSEMA) based on its knowledge and skills in SCRUM-Agile methodologies and ProjectManagementProfessional (PMP) to guarantee cost-effective coordination and seamless collaboration with the Resilmesh consortium.
Links to CV/LinkedIn:
https://orcid.org/0000-0002-8521-1864
https://www.linkedin.com/in/rafael-marin-perez-ict-phd-pmp-scrum-729930173/
Ana Hermosilla
Role: Senior Researcher in 5G/IoT, Cybersecurity and Orchestration.
Short Bio: Ana is a full-time researcher in ODINS. She is finalising his industrial PhD in ODINS with the collaboration of the University of Murcia. Since 2017 she has participated on several H2020 projects such as ANASTACIA, 5GINSPIRE and 5GAPS. She is currently working on the HorizonEU 6G-PATH project, focusing on designing, developing, and orchestrating secure 6G/IoT innovations for vertical applications in scenarios of Smart Cities and Agriculture. Her research is focused on Software Define Network, Function Virtualization, Resources Management and Distributed IoT/Cloud Orchestration.
Links to CV/LinkedIn:
Jesús Sanchez
Role: Senior Researcher in Cybersecurity for IoT devices and SCADA building system Short Bio: Jesús is a senior researcher at ODINS. He received his Ph.D. in Computer Science, at University of Murcia in 2021. Since 2018, he has participated on international projects like CYSEMA, IoTrust, H2020 Plug-n-Harvest, REWIRE, HYPER-AI, Smart2B. His research interests include Cybersecurity, privacy and trust in LPWANs, SCADA and IoT/Edge/Cloud applied to multiple sectors like Smart Cities and Precision Agriculture.
Links to CV/LinkedIn:
https://orcid.org/0000-0003-2673-3790
https://www.linkedin.com/in/jesus-s%C3%A1nchez-g%C3%B3mez-7946a6133/
María López Martínez
Role: Junior Engineer in Software Development, IA and SCADA system.
Short Bio: María is a junior engineer in IA and SCADA systems at ODINS. María has a degree in Computer Science from UMU since 2022. And she has performed the master’s degree in AI/Bigdata from UMU in 2023. Since 2023, she has participated on HE projects such as HYPER-AI. She has worked on datasets, artificial intelligence models and distributed data computing applied to SCADA systems for Smart Buildings and Precision Agriculture. Miriam has specialised in the programming with Python, Java, JavaScript, HTML5/CSS, C++.
Link to CV/LinkedIn:
https://www.linkedin.com/in/mar%C3%ADal%C3%B3pez-mart%C3%ADnez-761700219/
Manuel Mora González
Role: Senior Engineer in Software Development, IoT/SCADA & Smart City Short Bio: Manuel is a senior engineer at ODINS. He has a degree in Computer Science from UMU since 2001.
He is working at ODINS since 2021 in different areas such as Systems Development for Smart City & Precision Agriculture, I+D+i research, and Cybersecurity. He has participated on several H2020 (i.e. DEMETER, PRECIMED, WATERMED) and national (i.e. OASIS, SISAGRI, GUARDIAN, DIRELMIVID, ESCIPION) projects, related to agri-food traceability, modernisation of irrigation and infrastructures, and IoT/SCADA solutions.
Link to CV/LinkedIn:
Xilbi Sistemas de Información SL


Project Acronym: RISE
Project Title: Resilient Intelligent Secure Energy Infrastructure
Selected Challenge: Extension to New Domains and Systems (Open Call 1)
The RISE project extends the Resilmesh platform’s capabilities to photovoltaic (PV) installations. Renewable energy facilities, particularly PV sites, are critical components of the energy grid but face unique vulnerabilities to both operational disruptions and cyber-attacks. RISE integrates:
- Real-time Monitoring Agents and Edge Computing for immediate data collection and analysis.
- AI-Driven Anomaly Detection that leverages both historical and real-time operational data, including Copernicus satellite information.
- Secure Data Protocols to ensure end-to-end encryption, privacy safeguards, and resilience against cyber-physical threats.
The consortium involves Xilbi Sistemas de Informacion SL (XILBI) as a technology provider and Fotovoltaica Macotera SL (FOTOMACO) as the end-user, with validation occurring at a real-world photovoltaic facility. The RISE prototype will achieve TRL5, with the flexibility to adapt for other renewable domains such as wind and tidal power.
Objectives:
- Integration of PV Infrastructure with Resilmesh: Facilitate seamless data flow between PV systems and the Resilmesh platform.
- AI-Driven Threat Detection: Implement AI to identify operational anomalies and cyber intrusions in real time.
- Dataset Contribution: Introduce new PV-oriented datasets (including synthetic cybersecurity scenarios) for Resilmesh’s AI training.
- Real-World Validation (TRL5): Evaluate the integrated solution’s robustness and security performance in a functioning PV site.

Participation in the Resilmesh Open Call 1 reflects a commitment to fortifying renewable energy infrastructures against both natural disruptions and malicious cyber-physical incidents. Key drivers include:
- Enhancing Critical Infrastructure Resilience: Guaranteeing stable power generation and robust cyber defences in distributed energy systems.
- Contributing Domain Expertise and Data: Offering diverse PV datasets, security scenarios, and operational insights to reinforce Resilmesh’s AI anomaly detection engines.
- Promoting Collaboration and Innovation: Supporting knowledge exchange within the Resilmesh ecosystem to facilitate broader applications in solar, wind, or other renewable energy contexts.

Xilbi Sistemas de Información SL (XILBI)(https://www.xilbi.com/)
Xilbi Sistemas de Información SL (XILBI) is a Spanish IT technology provider, specialising in edge computing, cloud-native software, operating systems, and IoT applications. The organisation applies AI, XR, and cybersecurity expertise to develop robust solutions for critical infrastructure. It has participated in EU-funded R&I programmes under FP6, FP7, H2020, and Horizon Europe, among others. XILBI is also active in standardisation processes and commercial projects for renewable energy. Recognition includes the 2021 Copernicus Prize Catalonia/Spain for a PV fault detection and forecasting initiative.
Pedro Branco, CEO, Founder & Project Coordinator
Short Bio: Holds an MSc in Informatics Engineering and has over two decades of experience in ICT, IoT, and cyber-physical security. Has coordinated multiple EU-funded and ESA-funded projects, focusing on resilient system integration and data-driven solutions. https://www.pedrobranco.com/
Fotovoltaica Macotera SL (FOTOMACO)
Fotovoltaica Macotera SL (FOTOMACO) is a Spanish SME active in renewable energy, agriculture, and tourism. It manages a photovoltaic power plant, providing both self-consumption electricity and surplus energy to the public grid. Agricultural operations cover 400 hectares of almond, pistachio, and maize fields, enhanced by IoT-based irrigation and resource monitoring. FOTOMACO has been involved in EU-funded projects focused on automation, energy management, and data-driven agritech. Industry collaboration supports ongoing innovations in sustainable energy production and advanced farming practices. https://fotovoltaicamacotera.com
Gregorio Sanchez, CEO, Founder & End-User Lead
Short Bio: Manages a photovoltaic power plant and oversees multiple R&D projects in renewable energy, agriculture, and tourism. Has extensive experience in European innovation programmes.
Charge Cyber Safe (CCS): Team: Parity Platform P.C. and Lithuanian Cybercrime Center of Excellence for Training, Research & Education



The Charge Cyber Secure (CCS) project aims to extend and adapt the Resilmesh framework to the rapidly growing EV charging infrastructure by developing and deploying an interoperable and open source cybersecurity framework specifically designed for the EV Charging domain. The project partners are Parity Platform, software development SME that has developed EV Loader a software platform that helps business and property owners remotely monitor and earn revenue from EV Charging Stations, and L3CE (Lithuanian Cybercrime Center of Excellence for Training, Research & Education), experts in cybersecurity testing and evaluation.

The Charge Cyber Secure (CCS) project aligns directly with the objectives of the Resilmesh Open Call by extending detection capabilities of Resilmesh to a critical and rapidly evolving OT domain: EV Charging Station (EVCS) Infrastructure

Christos Stefanatos (Parity Platform P.C.)
Christos, Mechanical Engineer (MSc) Product manager for Parity Platform. He has multi-year product management experience and leads internal team of software engineers to develop EV Loader. Within the project he is liaising with CPOs and property owners, collecting feedback on privacy concerns and collaborates with software engineering team to define roadmap for new features. https://www.linkedin.com/in/christosstefanatos/
Egidija Versinskiene, L3CE, Lithuanian Cybercrime Center of Excellence for Training, Research
Egidija Versinskienė is a cybersecurity specialist with extensive experience in network security, cyber threat analysis, and penetration testing. She has participated in several major European cybersecurity projects, where she focused on securing critical infrastructure and operational technology (OT) environments.