INCIBE-CERT

The digital twins are virtual recreations of real-world objects or processes. This innovative idea, proposed by Dr. Michael Grieves, has become increasingly relevant in various industrial sectors thanks to the advancement of technologies such as 3D modelling, the Internet of Things (IoT), the IIoT (Industrial Internet of Things), machine learning and big data. Its application makes it possible to simulate and analyse physical processes efficiently, thus contributing to the digital transformation of industry, also known as Industry 4.0.The fundamental purpose of digital twins is to facilitate the understanding of how elements operate in the physical world. For example, in manufacturing, it is possible to create a digital twin of a factory and through simulations explore different scenarios: what would happen if a machine were modified, how would it impact production, and what would happen if a machine were changed? The digital twin provides answers before real changes are made to the physical environment, speeding up decision-making and optimising processes.

The ability to monitor and analyze the behavior of users and entities becomes crucial for early detection and response to potential threats. UEBA solutions identify unusual or anomalous patterns in user behavior, enabling rapid identification of internal threats or external compromises. This post focuses on how UEBA analysis is becoming an essential tool for a cybersecurity strategy, from identifying suspicious behavior to preventing potential security breaches.

Durante este artículo indagaremos en el funcionamiento y objetivos de una nueva tecnología de nueva adopción en el campo de la ciberseguridad, consistente en la creación de señuelos o información engañosa dentro de un Sistema de Control Industrial, permitiendo detectar y retrasar la intrusión de un ciberatacantes en un tiempo menor.