The cybersecurity landscape in 2024 was marked by unprecedented investments in protection technologies, driven by the increasing complexity of threats and more demanding international regulations. 

The numbers are alarming: the average cost of a data breach exceeded 4.5 million dollars in 2024, according to a global market analysis shared by Mastercard Cyber Quant. These losses not only include technical remediation costs and regulatory fines but also the decline in consumer trust and operational disruption. 

Thus, data-driven risk assessment has taken center stage to mitigate this issue. Simulation and analysis tools allow organizations to prioritize their security investments and make strategic decisions to prevent attacks. These approaches, combined with advanced authentication technologies, are essential to minimize risks and ensure business continuity. 

Cyber resilience: a new paradigm 

In an environment where threats are inevitable, businesses will prioritize cyber resilience strategies. This includes the ability to anticipate, withstand, respond to, and recover from cybersecurity incidents. Investments in attack simulations and cybersecurity stress tests will be common to measure organizations' preparedness for potential crises. 

The industry is adopting this terminology because it reflects a shift in thinking: it is no longer just about "preventing attacks," but about building systems and processes that can quickly adapt and recover from disruptions. This not only protects digital assets but also strengthens trust with customers, investors, and strategic partners. In 2025, cyber resilience will be a key differentiator in business competitiveness. 

Expansion of the Zero Trust model  

In 2025, the adoption of the Zero Trust model will be consolidated as the standard for enterprise security. This approach assumes that no user, device, or application is trusted by default, requiring constant verification before granting access to resources. According to Forrester, 83% of leading organizations have already implemented Zero Trust strategies, and this figure is expected to increase as threats become more sophisticated. 

Micro-segmentation, a key technique in this model, will continue to gain popularity. By dividing networks into smaller units, companies can limit the scope of attacks and minimize the impact of a potential breach. This will be especially relevant in critical sectors such as healthcare, banking, and government infrastructure. 

Artificial Intelligence in threat detection 

Artificial intelligence (AI) will become an essential tool for detecting and responding to cyberattacks in real time. AI-based systems will not only identify anomalous patterns in network traffic but also predict potential vulnerabilities before they are exploited. These capabilities will allow businesses to stay ahead of attackers and reduce response times to incidents. 

Additionally, AI will play an important role in automating repetitive cybersecurity tasks, such as patch management and log monitoring. This will free up resources for IT teams to focus on more complex strategies and technological innovation. 

Increased regulation and compliance 

Strengthening privacy and data protection laws will be a global trend in 2025. Regions like the European Union, with the General Data Protection Regulation (GDPR), and the United States, with stricter state-level legislation, will continue to lead the way. These regulations will force businesses to prioritize cybersecurity investments to avoid fines and protect their reputation. 

To comply with these regulations, it will be essential to implement secure authentication solutions that guarantee the protection of personal data. This is where technologies like B-FY will play a key role. 

The fight against identity fraud: the role of B-FY 

Identity fraud will remain one of the main threats in the digital realm, with attacks compromising both individuals and businesses. In this context, B-FY emerges as an innovative and effective solution to protect user identity and prevent unauthorized access. 

B-FY's technology combines biometric factors (such as fingerprints or facial recognition) with contextual factors, such as location and the device used. This multifactor authentication system is based on a two-stage process: first, the user verifies their identity on their personal device, and then on the target system. This double layer of security creates effective barriers against credential theft or identity spoofing attacks.