Multibiometrics stands out as one of the top cybersecurity trends for 2023

The use of multibiometrics has become one of the main innovations in digital security, with significant growth potential.

By Eduardo Ferrazzi

eduardo-ferrazzi-edited

Eduardo Ferrazzi is Commercial Director of NA-AT Technologies in Brazil

The digital acceleration trend, which is a hallmark of the 21st century, has gained an even more urgent character due to the mishaps imposed by the pandemic.

In view of this scenario, organizations were impelled to adopt complex digital systems and automate their processes, without compromising the quality of service, while meeting the new needs and requirements of the market.

From this, the use of multibiometrics has become one of the main innovations in the cybersecurity sector, with significant growth potential for the coming years.

This is because this process of digital adaptation has exposed the weaknesses of the sector, especially in Brazil. In 2022 alone, 19 million cases of ransomware attacks were recorded, as shown by research carried out by SonicWall Capture, which ranked the country as the 2nd largest target of these malicious software.

In this way, adopting a security system is an essential investment for preventing attacks, since it is much more costly to rescue data – and even the system itself – from malicious groups.

Therefore, more than contributing to preventive security, the adoption and mastery of a cybersecurity culture can also lead to improvements in the operational efficiency of organizations.

Security as a priority: the role of multibiometrics for the advancement of the sector

Currently, one of the most valued values ​​in the market is cyber resilience, an important measure of reliability and efficiency of companies.

The term refers to the capacity of a system to preserve itself against crises, in addition to supporting new possibilities, while enabling a good consumer experience.

In this way, the automation of processes, with the use of Artificial Intelligence and  Machine Learning,  becomes a fundamental step to provide cybersecurity teams with better management of data and information protection. 

In addition, another trend to be taken into account by companies is the analysis of user behavior.

The protocol known as  Zero Trust  is based on the premise of not trusting movements outside the consumer's usual pattern. After all, when it comes to security, the important thing is to check first and trust later.

In this context, multibiometric technologies stand out, which manage to increase the security of digital processes - such as  Zero Trust  -, both for the company and for the end user. This is because multibiometrics is capable of delivering more complete systems than simple biometric technology.

The difference between the two lies in the fact that a multibiometric system is more complete with regard to security steps.

That is, it is possible to include, in the same implementation, face, digital, voice and, in some cases, video services, in addition to tracking the user's location at the exact moment of purchase or access to the system, in the same implementation.

Challenges of implementing  security systems

However, the main challenge when implementing these security systems is the fact that many companies offer only a few biometric solutions, subjecting contractors to a true “patchwork quilt”, where each solution is operated by a different company.

Deploying a system architected in this way is, in most cases, costly and risky, as it is a more fragile system compared to a complete suite.

That is, contracting different biometric solutions and uniting them in a single system is not creating a multibiometric system. This happens only through the implementation of a system that encompasses all the solutions in its architecture, thus increasing the organization's security for multibiometrics.

In this way, in general, all organizations that have their space in the digital environment are under the influence of advances in cybersecurity. Maturity and digital resilience convey to the end user the stability and readiness of each business.

Because of this, multibiometric technologies become important allies for expanding the digital protection of companies, with a view to offering services that deliver various security steps, with the aim of guaranteeing not only the protection of the company's data, but , also of the users.

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