How Identity Verification Will Evolve Beyond Biometrics

The future of identity verification may go beyond biometrics.

In recent years, once fantastical biometric authentication tools have become a reality. For example, fingerprint scans, facial recognition, and iris detection offer unique and virtually tamper-free identity authentication. You might enjoy peace of mind and assume your biometric-protected devices and data cannot be hacked.

However, as biometric technology becomes more widespread, increasingly sophisticated cybercriminals continue to look for ways to crack it. The future of cybersecurity may evolve beyond biometrics for identity verification.

Let’s take a closer look at biometrics, digital identity protection, the future of cybersecurity, and what this all means for the average Internet user.   

What is biometrics?

Biometrics, or biometric technology, is the automated recognition of unique, individual biological and behavioral traits and patterns. Your facial features, fingerprints, iris features, keystroke patterns, and voice patterns can be used to verify your identity. 

Cybersecurity systems often include biometric authentication and access control, and biometric use is widespread throughout multiple industries.

Biometric systems capture and analyze your physical and behavioral traits. Then they convert them to digital and store them to verify your identity. From healthcare to law enforcement to border security, biometrics increase security. 

The biometric system market is expected to reach $84.5 billion by 2029. Artificial intelligence (AI), among other technologies, will impact how biometric technology will continue to evolve.

Benefits of biometrics in cybersecurity 

The use of biometrics in cybersecurity offers numerous benefits that improve the user experience and significantly enhance security. Biometric authentication makes it more difficult for other users to access your accounts or “hack” your verification. 

The notable benefits of biometrics in cybersecurity include:

  • Convenience: Biometric authentication eliminates the need to remember and enter passwords.
  • Cost-effective: Biometric authentication makes digital identity verification easier and reduces the need for additional cybersecurity measures, which can help save long-term costs.
  • Reduces human error: Biometrics reduce the risk of human error present in code and password verification. 
  • Fraud prevention: Biometrics help to prevent digital fraud and add protection against Internet scams by accurately identifying all authorized users.
  • Reduces the risk of identity theft: It’s far more difficult for bad actors to copy, forge, manipulate, or steal biometric authentication than to crack passwords or hack into accounts.
Facial recognition and fingerprints are no longer foolproof.

Why biometrics no longer offer enough protection  

Biometrics might feel secure and safe from hacking as they’re directly connected to your unique self. You might forget a password, but you can’t “forget” your fingerprint. However, if your biometric data is hacked, it’s exposed forever.

Cybercriminals have already found ways to trick facial recognition systems, copy fingerprints, and steal biometric data from massive databases. As identity theft techniques become more sophisticated, relying on biometrics alone as your cybersecurity bulwark may be risky.

For example, in 2019, a massive biometric data breach in the U.K. exposed millions of facial recognition records, fingerprints, log data, and personal data, making these biometric records accessible to anyone. In 2024, tech giant Meta paid the state of Texas $1.4 billion for unlawfully capturing biometric identifiers of millions of residents.

Although biometrics has many cybersecurity benefits, it isn’t an all-encompassing security solution.

Biggest Risks of Biometrics

The biggest risks of cybersecurity dependency on biometrics include:

  • Permanence: Biometric data is permanent and impossible to change. If it’s stolen, it could take years to repair the damage. That risk becomes even bigger when biometrics are used in public systems and shared environments. Those same identifiers may be tied to transportation, building access, and city services. This is one reason it’s worth understanding what smart cities are and how large-scale tech systems can amplify both convenience and exposure.
  • Privacy Concerns: As Meta proved in the nonconsensual capture of Texans’ biometrics, it may be easy for companies to grab your biological data. Many people also feel uncomfortable with the storage of biometric identifiers.
  • Spoofing: As AI continues to evolve, deepfakes and synthetic fingerprints are easy to create and may fool some biometric systems. Replay attacks — recording your biometric data to gain access to a system — also present a significant cyber threat.
  • Vulnerability: Cybercriminals are finding ways to infiltrate biometric databases, and biometric data is a valuable target. Risk management and cyber threat assessment can help to mitigate biometric database vulnerabilities.
Multi-factor authentication strengthens digital identity protection.

The evolution of multi-layered biometrics and identity verification

The future of biometrics and digital identity will include multiple layers of cybersecurity. It won’t rely on one method of verification (such as a fingerprint or iris scan). 

Multi-factor authentication (MFA) is already utilized via two-factor authentication (2FA) access. It requires both a password and another form of verification (typically a passcode). MFA doesn’t eradicate cyber threats, but it does greatly reduce them.

Currently, biometric data is often a single form of authentication instead of a password. 

Identity verification’s future beyond physical biometrics also includes integration of AI and machine learning, and a greater focus on behavioral biometrics, robust security, and enhanced user experience.

Future identity verification methods will include:

  • AI-based risk detection
  • Behavioral biometrics
  • Continuous authentication

AI and machine learning in identity verification

AI and machine learning can power the secure, intelligent identity verification and authentication of the future and can simultaneously analyze millions of data points to detect fraudulent activity in real time. 

AI-powered identity authentication detects anomalies and verifies identities with greater accuracy than traditional methods. As AI does more identity verification, it can support advanced biometric authentication systems, enhance fraud prevention, and decentralize identity solutions.  

Rather than reviewing your password or fingerprint, AI-driven identity verification systems analyze contextual data like behavioral cues, device type, location, and login time. For example, if someone tries to login into your account from another country, an AI system can require additional verification or lock the account.

Behavioral Biometrics as your ‘signature’

While traditional biometrics focus on your permanent physical characteristics, behavioral biometrics focus on how you behave. In identity verification, behavioral biometrics analyzes patterns in how you type, swipe, walk, or even hold your phone. These patterns are incredibly difficult for bad guys to copy.

Behavioral data changes subtly over time and requires less intrusive scanning than physical biometrics. Thus, behavioral biometrics can be both more secure and more privacy-friendly than static biometrics.

Continuous Authentication

One of the major flaws in current identity verification is that it’s a one-and-done process. You log in, and then your session may be active for hours. Continuous authentication changes that. Instead of just verifying you once, it constantly checks background behavior to ensure the authorized user is still the person accessing an account.

Here are some real-world examples of continuous authentication:

  • Healthcare: Patient and authorized user access isn’t just verified at the beginning of a login session. Continuous authentication in healthcare uses contextual data and physical and behavioral biometric data to verify identity throughout a session. It also enhances security by reducing the risk of data breaches and unauthorized use, improves efficiency, and helps systems remain within compliance to HIPAA and other regulations.
  • Online Banking: Online banking apps use continuous authentication to prevent unauthorized transactions by monitoring behavioral biometrics like typing patterns and device location.
  • Remote Work: Companies that rely on remote employees give digital access to confidential data and corporate resources. Continuous authentication offers secure access and identity verification for remote workers.

The future of identity is multi-layered

The goal of these changing identity systems is to offer easy protection for businesses and everyday Internet users. The future of digital identity verification won’t rely on just one thing; it will combine physical traits, behavioral patterns, and smart risk detection to keep you secure.

Biometrics will still be part of the puzzle, but smarter cybersecurity systems that adapt to context and use less personal data will also help. Privacy, flexibility, and continuous protection will define the next era of digital identity.

Visit the What Is My IP Address blog or listen to our Easy Prey podcastavailable to stream on your favorite podcast platforms for more on biometrics and the future of identity verification and for more tips on personal security in the digital age.