Privacy Concerns With Biometric Data Collection

Lauren Hendrickson
December 11, 2025

Table of Contents

Key Takeaways:

  • Privacy concerns with biometric data collection stem from the fact that once compromised, biometric data cannot be easily changed or reset. This provides long-term security risks making individuals vulnerable to identity theft, surveilance, and misuse.
  • Data breaches are one of the biggest concerns with biometric data, as they can expose individuals to long-term risks. Beyond breaches, other concerns include unauthorized surveillance and potential misuse of biometric information.
  • Avoiding storage remains one of the simplest and strongest protections for biometric privacy. If the data never leaves the device, it cannot create problems later.

 

Are biometrics safe to use? It is a question many people are starting to ask as fingerprints, face scans, and voice checks appear in more and more everyday situations. Supporters say biometrics can improve security because they rely on traits that are unique to each person. Others worry that these same traits are difficult to protect once collected.

There is growing concern about what actually happens to biometric information after it is captured. Many people are unsure how their data is handled, who has access to it, and whether it is combined with other personal details. Questions also continue to rise about how long companies keep this information and how securely it is stored.

To understand these worries, it helps to take a closer look at the process of biometric data collection. This includes what information is taken, how it travels through different systems, and the risks that come from storing data that is tied so closely to a person’s identity.

Privacy Concerns With Biometric Data Collection

Biometric authentication clearly has advantages. It cuts down on forgotten passwords, speeds up sign-in flows, and can make certain types of fraud harder. But when you zoom out from the immediate convenience, several deeper privacy concerns appear, which include:

1. The Risk of a Breach

The first and most obvious concern is the risk of a breach. When a password database is stolen, companies can force a reset and encourage people to update their security settings. It is inconvenient, but there is a clear path to recovery. Biometric data does not offer that kind of safety net. If a database of fingerprint templates or facial recognition profiles is exposed, the people in that database cannot get new fingerprints or a new face. The same features that make biometrics good at confirming identity are also what make them impossible to replace.

The fallout also stretches beyond the system that was breached. Biometric templates often resemble or can be adapted to work with other systems, even if users do not realize it. A face or fingerprint stored for one service might be close enough to pass checks somewhere else. That means a single breach can quietly open doors to vulnerabilities across multiple platforms, sometimes long after the original incident has faded from public view.

2. The Problem of Unclear Data Handling

Another major concern has little to do with hackers and much more to do with trust. Many people simply do not know what happens after they look into a camera or rest a finger on a sensor. They are unsure whether their biometric data stays on their device or is sent to a server. They do not know how long it is stored, whether it is encrypted, or who has access to it behind the scenes. When companies do not explain these details in clear and honest terms, people are left to guess—and most assume the worst.

This anxiety is not unfounded. There have been cases where biometric data was stored in databases with weak protections or used in ways never clearly disclosed to the public. Even when companies insist they prioritize privacy, a lack of transparency about how the systems actually work makes those assurances hard to verify. People want to understand what they are giving up and what risks they are taking, but too often, the answers are vague or hidden behind technical language.

3. The Rise of Biometric Surveillance and Tracking

A third concern involves the growing use of biometric systems for surveillance and tracking. Facial recognition technology can scan large groups of people at once and match them against databases, sometimes without their knowledge or consent. In some countries, authorities have used such systems to monitor public gatherings and identify protesters. When people know their movements might be logged every time they pass a camera, they may decide not to attend events or speak freely. What starts as a privacy issue can quickly affect fundamental rights.

This kind of tracking is not limited to large public spaces. There are quieter examples in everyday environments. A workplace may begin by using facial recognition for building access, then gradually expand it to monitor when employees arrive, leave, or move around the office. A shopping center may test face-scanning tools to count visitors and later use them to identify returning customers. A security measure intended to keep people safe can slowly shift toward monitoring behavior. This evolution usually happens behind closed doors, long before the public has a chance to understand or question it.

The Hidden Lifecycle of Biometric Data

The concerns above all point to a deeper reality: biometric data rarely stops at the moment of collection. Once gathered, it moves through a full lifecycle that most people never see. Understanding this process helps explain why biometric privacy issues are so persistent. Below is a closer look at each stage:

1. Collection 

It begins at collection. This happens the moment you enroll in a system, whether through a scan during device setup, a video selfie for account verification, or a fingerprint taken for access to a building. What you submit may be far more detailed than you realize. Some systems capture multiple samples, high-resolution images, or additional data points to improve accuracy. What feels like a single gesture can produce a surprisingly rich biometric record.

2. Storage

Once collected, biometric data needs a place to live. In some systems, this information stays on your device inside a secure section of the hardware designed to prevent other apps from accessing it. In others, it is sent to servers run by the organization or a third-party vendor. This distinction matters.

Local storage limits exposure, but centralized storage raises the stakes. A server that houses many people’s biometrics is a more tempting target for attackers. It is also more vulnerable to internal misuse, policy changes, or careless handling. When companies choose central storage for convenience or scalability, they also take on greater responsibility—and greater risk.

3. Sharing

Storage is only one part of the lifecycle. Many modern services rely on a network of outside vendors to help with identity verification or fraud detection. That means your biometric data, or a template derived from it, may move between multiple companies during a single authentication attempt.

Each vendor follows its own practices and maintains its own systems. A user has no easy way to know how many copies of their data exist, where they are stored, or who controls access to them. Even well-run companies can lose track of this flow when the ecosystem becomes too large or too dependent on external partners.

4. Function Creep

Over time, there is the risk of function creep—the gradual expansion of how biometric data is used. A database created for building access might later help investigate internal disputes or monitor workplace patterns. Voice samples collected for banking security might eventually be used to train new models for unrelated services.

These shifts often happen slowly, and rarely with the kind of clear communication users would need to make informed decisions. What begins as a straightforward security tool can evolve into a broader tracking mechanism without much public discussion. Once the data exists, new uses are always tempting.

5. Retention and Deletion

The final stage of the lifecycle involves how long biometric data is kept. Ideally, organizations would delete this information when it is no longer necessary. In practice, biometric data often stays much longer than users expect. Databases are migrated, backups are created, systems are replaced, and old data is left sitting in storage “just in case.”

Every extra year that biometric data remains stored creates opportunities for accidental exposure, unauthorized access, or policy changes that expand its use. A system that was safe at launch might become risky years later simply because the data never went away.

Real-World Programs That Illustrate the Privacy Challenge

Biometric privacy issues start to feel more concrete when you look at how these technologies are being used in everyday systems. Many people already interact with biometric programs without realizing how their information is stored, shared, or reused. These examples show how quickly biometric data can expand beyond its original purpose and why careful handling matters from the start.

1. National Biometric ID Systems

The growing concerns around biometric privacy are easy to see in national identification programs. Some countries now enroll residents into centralized systems that link fingerprints, facial images, or iris scans with government records. These systems can streamline public services, but they also concentrate sensitive data into a single place. If misused or breached, the fallout can affect millions at once, and individuals have almost no ability to remove themselves from the system.

2. Airports and Border Technologies

Airports are another environment where biometrics have become routine. Travelers may be scanned during check-in, security, or boarding, sometimes without fully realizing how many systems they are interacting with. For frequent flyers, this can mean appearing repeatedly in databases controlled by a mix of airlines, airport authorities, government agencies, and contractors. The convenience of seamless travel can obscure the fact that each scan adds another piece to a growing record of a person’s movements.

3. Corporate Biometrics

In the private sector, workplaces and retailers are experimenting with biometric tools for access and monitoring. Offices may replace key cards with facial recognition checkpoints. Stores might use cameras to analyze foot traffic, identify repeat visitors, or study demographic patterns. These tools can improve efficiency, but they also blur the line between legitimate security measures and invasive oversight. Employees and customers may not always understand how these systems work, and declining participation may not feel like a realistic option.

4. Worldcoin and Iris-Based Identifiers

Worldcoin is one of the most visible examples of a project built around iris-based identification. Its system creates a persistent code from a person’s iris pattern using a device known as the Orb. Even though the project states that raw iris images are not stored, the resulting identifier can act like a long-lasting tag that stays connected to a person across different financial or identity-related services. This raises important questions about how such identifiers might be used in the future and how much control individuals have once they enroll. People must trust that Worldcoin or any organizations involved will not repurpose or expand the use of these identifiers beyond what was originally promised.

Why Avoiding Storage Is the Safest Model

One of the most effective ways to protect biometric information is simply not to store it. Many of the long-term risks surrounding biometrics arise after the moment of collection, especially when data is saved on servers, copied into backups, or shared across systems that users never interact with. Once biometrics become part of a permanent database, they can be exposed in a breach, used in new ways without consent, or retained far longer than anyone expected.

Processing biometrics only on the user’s device avoids these issues. The information stays local, is used briefly for verification, and is cleared immediately. With no central server or long-term file, there is far less opportunity for misuse. This limits what attackers, internal teams, or future policy shifts could access, because the data simply is not there to begin with.

Keeping biometric data on the device also reduces other risks. There is no long-term retention to manage, no broad sharing across vendors, and little chance of silent surveillance since no ongoing record exists to match or track. Without a large biometric database, the impact of potential breaches becomes much smaller.

Some companies, including Identity.com, take this approach by using short, on-device checks rather than storing biometric profiles. This gives users greater confidence that their traits are not being kept or reused beyond the moment they are needed.

Avoiding storage may seem straightforward, but it remains one of the strongest protections for biometric privacy. If the data never leaves the device, it cannot create problems later.

Conclusion

Organizations have a choice in how they design biometric systems. They can build programs that rely on large biometric databases and accept the long-term responsibility that comes with managing them, or they can limit collection and keep biometric data on the user’s device to reduce unnecessary exposure. Systems that avoid storage offer a more balanced path that allows people to verify who they are without giving up control of traits that cannot be changed.

When handled responsibly, biometrics can make digital experiences easier and more secure. When handled carelessly, they create lasting vulnerabilities. The outcome depends on the decisions made today about what data is collected, how long it is kept, and who has control over it.

Identity.com

Identity.com helps many businesses by providing their customers with a hassle-free identity verification process through our products. Our organization envisions a user-centric internet where individuals maintain control over their data. This commitment drives Identity.com to actively contribute to this future through innovative identity management systems and protocols.

As members of the World Wide Web Consortium (W3C), we uphold the standards for the World Wide Web and work towards a more secure and user-friendly online experience. Identity.com is an open-source ecosystem providing access to on-chain and secure identity verification. Our solutions improve the user experience and reduce onboarding friction through reusable and interoperable Gateway Passes. Please get in touch for more information about how we can help you with identity verification and general KYC processes using decentralized solutions.

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