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The Future of Biometrics: Emerging Trends and Innovations

Author: Derek Yang

Editors: Emily Yu, Kacey Ye

Artist: Helen Gong


In today’s age, computer security is rapidly establishing its importance in society. From unlocking our phones to ensuring online transactions are safe, our reliance on security technologies is increasing. As cyber threats become more prevalent, biometric authentication is leading the way in determining identities. Building on conventional techniques, the latest advancement in biometric technology is changing how people interact with digital and physical security systems. Next-generation biometric technologies will offer greater accuracy, usability, and security, with fewer limitations and fewer flaws that can be exploited.

The growing need for touchless technology has only increased the demand for innovations like iris recognition and gait recognition. By utilizing non-contact security systems that verify a user’s identity by analyzing their cornea or unique walking style, touchless biometric systems can reduce the risk of transmitting pathogens while also providing maximum security. Another unique authentication method is palm vein recognition, which involves reading vein patterns in the palm using near-infrared light.

Unlike the more intrusive physical-based products, behavioral biometrics take into account the user’s patterns of behavior, such as keyboard dynamics, mouse usage patterns, and mobile phone usage patterns. This significantly reduces the possibility of identity impersonation and makes single-point security methods, such as fingerprinting, obsolete. By building a unique user profile based on an individual’s behavior and habits, identity impersonation becomes increasingly complicated, as an imposter would have to mimic a user’s habits and interaction styles perfectly. Furthermore, behavioral biometrics allows for authentication to rely on multiple dynamic factors as opposed to a static piece of data.

Artificial intelligence is also revolutionizing biometric authentication with more accuracy and responsiveness. AI-driven solutions can enhance recognition technology by adapting to facial changes over time, such as aging or changes in lighting. Artificial intelligence can even detect spoofing attacks, such as deep fakes, by interpreting microexpressions and minute discrepancies within biometric signatures. Humans can combat AI with AI to prevent exploitation and scams. These real-time learning capabilities make AI-driven biometrics a powerful tool in the battle against identity theft and fraud.

Biometric technology offers security, but at the cost of ethical and privacy concerns. There has been a lot of backlash and protests about spying and personal freedom with the large-scale use of such technologies. The law is also catching up so that the proper use and management of biometric data comes under the purview of regulation. As biometric technology becomes a part of everyday life, it will become increasingly important to strike a balance between security and privacy. If the balance between these two essential factors is one-sided, it could lead to widespread privacy violations and a loss of one’s freedom, or an increased risk of security threats.

The future of biometrics is establishing itself throughout modern society, where newer technologies are integrating to make things even more secure, convenient, and safe. Whether it's through artificial intelligence-driven fraud prevention or non-contact, behavioral analysis, these technologies are leading to an entirely new domain of digital identity and security. As biometrics continue to develop, maintaining ethics and strong security will be crucial in realizing the full potential of biometric technology without compromising one’s privacy.

Citations:

Chin, Kyle. “The Future of Biometric Data Protection: Securing Data Privacy: Upguard.”

Jolly, Geo. “Future of Biometrics: AI, Fraud Prevention & Industry Growth.” Veriff, Veriff, 26

Mar. 2025, www.veriff.com/identity-verification/news/the-future-of-biometric-

Ughade, Nupura. “Future of Biometrics: Trends, Innovations, and Challenges Ahead .”

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