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.

In 2025, more than 75% of global financial transactions were conducted through digital channels, driven by the growth of fintech, the expansion of mobile banking, and the widespread adoption of instant payments. This technological ecosystem has enabled faster, more accessible, and personalized financial services, such as digital credit, automated investment, and real-time transfers. However, this same transformation has also significantly increased the financial sector’s exposure to new cyber threats.

Artificial intelligence is significantly transforming the way phishing attacks are carried out. What once required time, technical knowledge, and manual writing can now be generated in seconds using advanced language models capable of adapting tone, context, and style to each victim.

This change not only increases the volume of attacks, but also their credibility. AI-generated messages eliminate grammatical errors, mimic internal communication patterns, and use publicly available information extracted from professional networks, social media profiles, or previous data breaches.

The current biotech sector relies on interconnected digital environments, and much of the research cycle depends on applications deployed in the cloud.