A cybersecurity incident in the beauty sector means a direct disruption to revenue, reputation, and business continuity.

In Spain, the average cost of a data breach reaches $3.9 million, while operational downtime can generate losses ranging from €4,000 to €7,500 per minute. Human error is involved in 75% of incidents, increasing the risk of cyberattacks.

For years, GPS has been treated as a silent and unquestioned piece of infrastructure. In fleet management, its reliability was taken for granted: if a vehicle appeared on the map, it was assumed to be exactly where the system indicated. That assumption is beginning to break down.

Validity notice. This article has been prepared using information current as of June 25, 2026. The transposition of NIS2 is still underway, and the technical reference framework is being updated, so some information may change. We will continue to expand and update this article as new developments become available.

The industry faces a constant threat: a cyberattack can halt production and generate losses of between €4,000 and €7,500 per minute. Beyond the financial impact, an incident can also affect operational continuity, reputation, and business stability.

In this context, the growing connection between corporate systems and production environments requires specific protection measures. Understanding the differences between IT and OT security is essential to reduce risks and protect industrial operations.

The use of Artificial Intelligence in business environments is growing at a very high speed: 92% of financial institutions already use it in critical operations, and more than 87% of organizations suffer AI-powered cyberattacks.

Aesthetic clinics and beauty centers handle a large amount of personal client information on a daily basis. Beyond identifying data such as names, phone numbers, or email addresses, these businesses often process especially sensitive information related to health, medical treatments, clinical history, treatment progress photos, and in many cases, biometric data.

Since the entry into force of the General Data Protection Regulation (GDPR) and the Spanish Organic Law on Data Protection and Digital Rights (LOPDGDD), protecting this information has shifted from being a simple administrative obligation to becoming a critical element for business continuity, corporate reputation, and customer trust. Health data is considered a special category of personal data and requires a higher level of protection than other types of processing.

In addition, the increasing digitalization of the aesthetic sector has expanded the exposure surface to threats such as ransomware, unauthorized access, credential theft, data leaks, and human error. The combination of regulatory compliance and cybersecurity has become an essential requirement for any business handling patient or client information.

48% of companies have suffered security breaches caused by personal devices over the last year, and more than 75% of incidents continue to be linked to human error.

Legacy software, also known as inherited or outdated software, is one of the most invisible yet critical challenges in managing today’s technological infrastructures. While at first glance it may seem like a stable solution—“if it works, don’t touch it”—the reality is that these systems can become an open door to critical cybersecurity vulnerabilities, compatibility issues, and significant operational risks.

In this article, we explore in depth what legacy software is, why it still exists in so many organizations, what its real risks are, and which strategies can be implemented to mitigate its impact on information security and business continuity.

Currently, more than 75% of security breaches are related to human factor errors. As companies strengthen their protection systems, cybercriminals are increasingly targeting employees, exploiting their daily habits to achieve higher success rates by taking advantage of a lack of cybersecurity awareness.

Generative artificial intelligence is already integrated into the business environment and, in 2025, 87% of global companies were exposed to AI-powered cyberattacks. Its adoption improves productivity, but it also expands the attack surface if data handling is not properly controlled.

The fintech sector continues to be the primary target for cybercriminals, with attacks increasing by more than 50% over the past year. Digitalization and the heavy use of third-party cloud services are expanding the attack surface.

Looking ahead to 2027, the shift is clear: moving from reacting to anticipating. Cybersecurity will become proactive and automated, supported by artificial intelligence and continuous verification.

Failure to adapt means accepting real risks: legal impact, reputational damage, and data breach costs that already exceed €3.9 million in Spain.

In the current cybersecurity ecosystem, there is a fascinating and at the same time terrifying paradox: while companies invest thousands of euros in next-generation firewalls, intrusion detection systems, and data encryption, the most common security breach remains a simple, well-written email. We are not talking about complex viruses or brute-force attacks, but about social engineering. Within this discipline, CEO Fraud has become the most lucrative and dangerous scam for the Spanish business sector.