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Why Will Biometric AI Replace the Power Of Mobile Apps?

Why Will Biometric AI Replace the Power Of Mobile Apps?

In recent years, biometric authentication technology has emerged as a crucial industry trend, gaining even more significance in 2021 due to the latest advancements in AI available on the market. Compromised credentials have been responsible for approximately 20% of breaches, and the alarming fact is that it takes an average of 287 days to detect and respond to such breaches.

Embracing AI-based security has become imperative for Mobile App Development Company to maintain competitiveness across various industries. According to IBM’s findings from 2021, 25% of businesses have already completed the deployment of AI-based security solutions, with another 40% partially implemented. However, there is still a significant portion, comprising 35% of businesses, that have not embarked on this crucial process. Failing to invest in AI-based security may place these businesses and their clients at substantial risk of experiencing harmful data breaches.

Security- A Big Problem

Our mobile phones have become an integral part of our daily lives, and for many, they are essential for survival. As technology advanced and mobile devices became ubiquitous, brands and organizations recognized the opportunity to integrate their services into these devices. Consequently, we now rely on our phones for essential tasks such as online banking, secure payments, protecting personal information, and storing private pictures.

Given the critical role our phones play, it becomes paramount to safeguard this technological linchpin at all costs. The threat of cybercriminals targeting mobile devices has increased significantly. Notably, hackers can now infiltrate various other devices, including cars, security cameras, door locks, baby monitors, smart TVs, and even healthcare devices. Mobile phones are especially susceptible to hostile software, viruses, data leaks, and other mobile threats, making tight security measures essential.

Traditional password-based systems developed by Mobile App Development Company alone are no longer sufficient, as they can easily succumb to brute-force attacks. Therefore, it is imperative to implement robust security measures to protect our mobile devices and the sensitive information they hold.

Why Artificial Intelligence Is Becoming Popular?

Neural Networks

One of the captivating aspects of Artificial Intelligence lies in machine learning, which excels in tasks such as forecasting and voice synthesis. The ease with which these functions are accomplished using neural networks is remarkable. Machine learning integrates neural networks into our daily lives, facilitating various activities. Some common applications of machine learning include:

  • Drafting emails with automatic recognition and mail sorting capabilities.
  • Utilizing images and symbols in various computer games.
  • Enabling automatic facial detection and focus in digital cameras.
  • Utilizing automated voice recognition, check reader, signature authentication systems, and neural networks.

Understanding User Behavior Patterns

The fusion of machine learning and natural language processing enables genuine interactions tailored to users’ preferences. By analyzing users’ likes and dislikes, technology can effectively study their behavior. Implementing this functionality in a mobile application can lead to a highly personalized User Experience. A prominent example of this is seen in Netflix, a widely-used application that gathers and integrates user data to offer content recommendations based on their preferred genres and series.

Conversational UI

Understanding User Behavior through Machine Learning and Natural Language Processing through the seamless integration of machine learning and natural language processing, a dynamic interaction with users based on their preferences is achieved. By analyzing the likes and dislikes of users, the technology can gain insights into their behavior patterns. This remarkable capability, when incorporated into mobile applications, results in a highly personalized User Experience. An exemplary illustration of this integration is evident in the immensely popular Netflix application, which adeptly collects and analyzes user data to offer content recommendations tailored to individual tastes, encompassing genres, and series they prefer.

Automated Reasoning

This technology’s key aspect is its ability to boost productivity, and Uber serves as a prime illustration of this phenomenon. For those unfamiliar with Uber, it functions as a taxi booking application that utilizes automated reasoning to determine the quickest route. Automated reasoning plays a crucial role in gathering data from cab drivers who have previously taken trips along similar routes. This process enhances overall efficiency, making it a standout example of improved productivity through technological advancements.

Completes Monotonous Tasks Rapidly

Performing repetitive tasks can be tiresome and frustrating on occasion. Nonetheless, Artificial Intelligence presents a convenient solution, enabling us to swiftly and efficiently complete such monotonous assignments. The continuous execution of these repetitive tasks can impede innovation and waste valuable time and resources. Mobile App Development Company uses the power of Artificial Intelligence to handle these tasks, individuals can seize the opportunity to explore new ventures and address real-time challenges with greater effectiveness.

Which is Safer: Biometrics or Passwords?

Both biometrics and passwords serve the purpose of authenticating your identity and granting access to an account or device. While passwords require you to enter a specific phrase during login, biometric systems utilize unique personal characteristics like fingerprints, voice patterns, or retina scans to identify you. When used appropriately, both biometrics and secure passwords play a vital role in maintaining the security of your devices and applications.

Are Biometrics Better Than Passwords?

Biometrics offer several advantages over passwords, although they also come with some limitations. While passwords are more susceptible to hacking, they have the advantage of being changeable. On the other hand, biometrics are not easily altered, which can be both advantageous and limiting. Many devices accept both forms of authentication.

The benefits of using biometrics include an added layer of security, creating a barrier between potential intruders and your device or app. Additionally, biometrics are quick and convenient, eliminating the need to remember or input complex passwords. Their robustness against spoofing, particularly face, iris, or voice recognition, potentially makes them more secure than even a strong password.

Nevertheless, at present, passwords are still commonly used as a backup when biometric identification fails. Therefore, even if you primarily rely on biometrics for convenience, your password remains crucial. In the event of a security breach, a weak password can leave you vulnerable to identity theft. So, it’s essential to maintain a strong and unique password to enhance overall security.

Wrapping Up

Sharing passwords poses several security risks, primarily related to attributability. This becomes particularly concerning when employees can modify sensitive company information or initiate unauthorized transactions.

In contrast, biometric authentication for Mobile App Development Company offers a higher level of inherent security compared to passwords since it cannot be shared among different individuals, unless in the rare case of twins or doppelgangers. This uniqueness ensures that only the rightful owner can access the system, reducing the chances of unauthorized access and potential security breaches.

Jabit Soft is a leading provider of comprehensive IT and development services, dedicated to empowering businesses through cutting-edge software development and digital solutions. With a global presence, we have completed 1500+ projects including some government projects that drive growth and innovation for your organization.


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