In the logistics sector, every minute counts. A system failure, cyberattack, or infrastructure outage can bring an entire warehouse to a standstill, block transportation routes, or disrupt critical deliveries. In an industry where operations never stop, business continuity no longer depends solely on having backups, but on having a true Disaster Recovery Plan (DRP) capable of restoring business operations within minutes.

When we talk about point-of-sale (POS) systems, we’re referring to the hardware and software that allow card payments to be processed in shops, stores, restaurants, and similar businesses. These systems handle highly sensitive information, such as card data (magnetic stripe or chip), the cardholder’s details, and transaction information. This makes POS systems a very attractive target for cybercriminals.

Digital transformation in laboratories has brought with it a growing dependence on computerized control systems, analytical software, LIMS platforms, scientific IoT infrastructure, and next-generation connected instruments. However, despite this progress, it is still common to find critical equipment operating with obsolete operating systems, outdated firmware, or applications that stopped receiving manufacturer support years ago.

In 2026, IT departments will experience major changes compared to recent years. Digitalization is no longer optional, and companies that fail to evolve their IT services will be exposed to cyberattacks, operational disruptions, and a loss of competitiveness.

Companies in the transportation and logistics sector (including fleet operators, warehousing, distribution, cargo valuation, route management, and more) are increasingly exposed to threats and cyberattacks that can paralyze operations, cause substantial financial losses, and damage corporate reputation.

When people talk about an “industrial SOC,” many small and medium-sized enterprises (SMEs) in the agri-food sector see it as an investment beyond their reach: they picture rooms full of analysts, high fixed costs, and technology that only large corporations can understand. That perception isn’t entirely unfounded, but it doesn’t reflect the current reality of the market or the alternatives that now exist.

Digitalization has transformed logistics into a system of constant interdependence, where operational efficiency is intrinsically linked to data security. With the increasing risks of disruption from threats such as ransomware and supply chain manipulation, cybersecurity can no longer be just an add-on, it must be a strategic pillar.

In the biotechnology industry, protecting critical scientific data and information is essential not only to safeguard intellectual property, but also to preserve the integrity of research with high strategic value. Laboratories, biotech startups, and large corporations are continuously exposed to espionage attempts, often originating from state actors or groups specialized in industrial cybercrime. In this context, scientific honeypots have become a key tool for early threat detection.

In the retail sector, where customer experience and operational continuity are critical, cybersecurity has become a strategic priority. The increasing digitalization and expansion of operations into distributed environments have enlarged the attack surface, making it necessary to deploy advanced solutions such as EDR (Endpoint Detection and Response) and XDR (Extended Detection and Response).

Logistics no longer moves only through roads, ports, or warehouses — it also flows through networks, systems, and data.

The convergence of advanced artificial intelligence and biomedical data has opened up a wide range of revolutionary possibilities in medicine and research. However, it has also introduced emerging risks that demand immediate attention from a cybersecurity perspective. Among these risks, the use of Deepfake technologies and the manipulation of biomedical data represent a growing threat, with critical implications for information integrity, trust in healthcare systems, and patient safety.