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.

Cyberattacks in the fintech sector have surged by 50%. With AI-powered phishing growing by 466%, relying on a single password is an open invitation to financial disaster. Multi-factor authentication (MFA) is an essential barrier to prevent unauthorized access from damaging your company’s reputation and revenue.

Multi-factor authentication requires users to provide at least two different forms of identity verification before accessing the system.

In 2025, phishing is no longer an isolated cybersecurity issue but a direct risk to business continuity for digital wallet companies. With more than 1.13 million attacks per quarter and an average cost of 4.48 million dollars per breach, the real impact is not the attack itself, but what it causes: the loss of control over user security and trust in the platform.

In 2025, the financial sector in Spain accounted for nearly 34% of malware cyberattacks, putting critical data and operations at risk and potentially causing millions in losses. This is just one of many affected sectors—from transportation to healthcare—all exposed to disruptions, data theft, and regulatory consequences.

Companies take 25% longer than expected to recover from cybersecurity incidents, and almost always it’s because they react too late. Every hour without action increases legal, reputational, and financial risk. Knowing what to do from the very first moment can be the difference between a controlled incident and a disaster.

Digitalization has profoundly transformed how law firms and legal practices operate. The adoption of document management tools, intensive use of email, cloud storage, and remote work have all improved efficiency and responsiveness to increasingly demanding clients. However, this evolution has also exposed the sector to risks that were virtually non-existent just a decade ago.

Artificial intelligence is profoundly transforming how ransomware attacks are executed. What previously required manual planning and human decision-making can now be automated, allowing attacks to assess systems, permissions, and critical data before acting and optimize their economic and operational impact.

Currently, a security breach in the biotech sector can have an average impact of $4.82 million. But it’s not just about the financial loss: these breaches can also compromise data integrity, disrupt organizational operations, halt clinical trials, or create regulatory and compliance risks that directly affect the viability of your biotech company.

The 2024–2025 period has consolidated ransomware as one of the most critical and high-impact cyberattacks for businesses worldwide. Its relevance is reflected not only in the volume of incidents, but also in its ability to cause significant operational disruptions and substantial financial losses.

Every connection, login, and file exchange leaves a digital trail. For many companies, this data is noise; for a company with an advanced security strategy, it is the key to anticipation. In today’s threat landscape, the volume of information generated by a company’s systems is virtually impossible for a human team to control and manage on its own.

Traditionally, cybersecurity was reactive: detecting an attack once it was already underway. However, using Big Data allows this logic to be reversed. By processing and analyzing large volumes of data in real time, companies can identify risk patterns before they turn into critical incidents, transforming security from a reactive cost center into a strategic prevention asset.