Project name:

Basque Cyber Security Shared Data


Program:

Aid program to support business R&D – HAZITEK


Organisations:

Action co-financed by the Basque Government and the European Union through the European Regional Development Fund 2021-2027 (ERDF).


Duración:

2023-2025


Descripción:

  • Building a trusted and secure community for industrial cybersecurity data, which will require.
  • Improving and establishing a cyber threat information model that draws from open sources of industrial cybersecurity information, taking into consideration
  • Build value-added services for the industry community in cyber intelligence by enriching information from dispersed sources with different levels of confidence in cyber threat data.
  • Evaluate research activities conducted through experimentation on use cases of IT and OT threats in ecosystems of industrial organizations.

Project name:

Collaborative Neutralization of Cyberattacks on Industrial Systems Preserving Privacy.


Program:

Misiones Ciencia e Innovación (Science and Innovation Missions) (MISIONES MIG-20221060).


Organisations:

Funded by the European Union – NextGenerationEU


Duration:

2023-2025


Descripción:

  • Industry 4.0 requires an extreme level of trust in all data sources, which hinders and often prevents the automation and digitisation of processes and tasks. The lack of confidentiality, security and sovereignty over the data exchanged is slowing down many relationships and data exchange in those situations where there is no regulatory environment that obliges the exchange of certain data, meaning that only large players, with the capacity to force the sharing of information, can benefit from its exploitation. This combination of factors brings with it the need to consider the importance of the cybersecurity of the industrial processes involved in order to guarantee the proper operation of the systems, especially in critical sectors, as well as to maintain the confidentiality of the data and information with which they operate. It is therefore necessary to address solutions that overcome the limitations in terms of data sharing and generate spaces for collaboration within the European cybersecurity domain.
  • The main objective of the project is to provide the industrial sector with a collaborative digital space that enables companies to deploy cyber defence mechanisms in industrial company ecosystems, through the collaborative sharing and exploitation of data and procedures for prevention, detection, mitigation and remediation. NCIS aims to carry out advanced research in technological areas that involve disruptive developments in the following two main areas: data confidentiality and the sharing of security strategies in new connected industrial environments, thus contributing to the full development of Industry 4.0 in secure, sustainable and connected environments.

NCIS

Project name:

Basque Cyber Security Industry 4.0


Program:

Business R&D support aid programme – HAZITEK


Organisations:

Action co-financed by the Basque Government and the European Union through the European Regional Development Fund 2021-2027 (Feder).


Duration:

2022-2024


Descripción:

  • The main objective of BCSI 4.0 is to increase cyber-resilience of the Basque industry through research into technologies that enable improvement and specialisation of continuous monitoring services for the comprehensive security of industrial OT environments, as well as improving detection and response to cyber-incidents and including self-protection measures against threats in its own design, while validating it in industrial experimentation environments that represent different levels of digitisation maturity (even with legacy equipment).

Project name:

coGnitive aUtomation foR secUrity


Program:

Business R&D support aid programme – HAZITEK


Organisations:

Action co-financed by the Basque Government and the European Union through the European Regional Development Fund 2014-2020 (Feder).


Duración:

2020-2022


Descripción:

  • Applying the latest research in the field of deep learning when developing threat detection technologies based on perceived behaviours: lawful, abnormal and malicious.
  • Once threats have been detected and analysed from a comprehensive perspective, being able to generate automated and intelligent responses, while optimising the use of resources dedicated to cybersecurity, in order to achieve resilient and adaptive cyber systems.
  • Using tools that have been developed in the field of natural language processing to interact with operators, while explaining the content of identified threats, perceived relationships and the cascading effects that have been detected. Thus, the system will also be able to explain its suggested actions or the tasks performed and will make it easier to trigger well-specified complex actions from clear and simple commands in natural language. Hence, lower profile staff will be able to address the issue from a broader and more precise context, while mitigating the talent shortage within the industry.