Security vs. User Experience

Security vs. User Experience: Do You Really Have to Choose?

Lauren Hendrickson
June 25, 2025

Table of Contents

For years, digital security has been seen as a tradeoff: stronger protection comes at the cost of user experience. Long passwords, multiple verification steps, and invasive identity checks often force platforms to choose between keeping bad actors out or keeping users happy. But as threats evolve and user expectations change, that tradeoff is becoming easier to overcome.

The reality is that trust has become just as important as security. According to Cisco’s 2024 Data Privacy Benchmark Study, 75% of users say they won’t buy from a brand they don’t trust with their data. Poorly designed verification flows that collect excessive personal information frustrate users, erode trust, and slow growth.

Advances in privacy-first identity verification now give businesses a way to protect data and build trust while reducing friction. With better tools and smarter design, companies no longer have to sacrifice user experience for stronger security.

This article explores where businesses get the balance wrong, the risks of leaning too far in either direction, and how privacy-first technologies allow companies to build user-friendly, secure verification systems that meet rising privacy expectations.

Why Platforms Struggle with Security vs. User Experience

When it comes to verification, many platforms land at one extreme or the other. Some default to collecting as much personal information as possible to meet regulations and reduce risk. Others, worried about adding friction, skip verification entirely or rely on weak safeguards. Both approaches create serious problems.

Take platforms that require full know-your-customer (KYC) checks for almost every interaction, even when a simple check would work. An online marketplace that forces users to submit full identity documents just to prove they are over 18 adds unnecessary steps and exposes sensitive data. The platform may only need to confirm age eligibility but ends up collecting far more information than required. This creates large data stores that increase compliance burdens and breach risks.

At the other extreme, platforms that minimize verification entirely leave themselves open to abuse. Weak or missing checks allow bad actors to create fake accounts, commit fraud, and manipulate systems with little resistance. These failures reflect not just a tradeoff between security and user experience, but a failure in how verification is designed.

The Cost of Getting the Balance Wrong

When platforms lean too far toward either security or convenience, users feel the consequences quickly. Strict verification processes often create friction that drives people away. According to Signicat’s 2023 Battle to Onboard report, 68 percent of users abandoned digital onboarding because the process was too long, confusing, or invasive. In competitive industries like fintech, ecommerce, and entertainment, even a small drop in conversions can hurt growth, revenue, and user retention.

On the other hand, weak verification invites abuse. Platforms with limited identity checks often become easy targets for fake accounts, bots, and fraud. Meta estimates that 4 to 5 percent of its monthly active users are fake, which adds up to as many as 150 million accounts. This distorts engagement metrics, enables scams, spreads misinformation, and attracts regulatory attention. For smaller platforms, the damage to reputation can be even harder to recover from.

Regulatory pressure is also increasing. Laws like the EU’s Digital Services Act, the UK’s Online Safety Act, and new privacy rules in several U.S. states are pushing companies to verify users in a responsible way while avoiding unnecessary data collection. Gathering too much personal information increases legal risk if there is a data breach. But failing to verify users can result in compliance violations, fines, or bans.

When verification is poorly designed, the consequences are real. Platforms lose users, become more vulnerable to fraud, and face legal risks—all because the balance between security and user experience was not built in from the start.

How Security and User Experience Can Work Together

The good news is that platforms no longer have to choose between strong security and smooth user experience. Privacy-first technologies give businesses better tools to verify users, fight fraud, and build trust without forcing customers through frustrating processes. Here are some of the core technologies making this balance possible:

1. Selective Disclosure

Not every interaction requires full identity verification. In many cases, platforms only need to confirm a single fact—such as whether a user is over 18, lives in a certain jurisdiction, or holds a valid ticket to an event. Selective disclosure allows users to share only the specific pieces of information required, without exposing their full personal records.

For example, a user accessing an age-restricted service might prove they are over 21 without handing over their full government-issued ID. This not only speeds up onboarding but also minimizes the amount of sensitive data collected, stored, and exposed. Selective disclosure helps platforms meet compliance requirements while dramatically reducing privacy risks and data liabilities.

2. Liveness Detection

Fraudsters are no longer limited to stolen documents or simple identity theft. With the rise of generative AI, attackers are now creating increasingly realistic fake IDs and synthetic identities that can mimic real users with alarming accuracy. This has made it harder for platforms to rely solely on document-based checks.

Liveness detection adds a crucial layer of protection by confirming that a real, physically present person is completing the verification in real time. These checks are often completed in seconds, using simple facial gestures, eye movement, or device sensors to ensure the person isn’t a static image or deepfake. Importantly, modern liveness detection doesn’t require storing biometric data long-term. Instead, it verifies presence at the moment of onboarding, providing strong protection against synthetic fraud without introducing unnecessary friction.

3. Verifiable Credentials

Verifiable credentials (VCs) give users a reusable, portable way to share proof of identity or qualifications across multiple platforms. Instead of uploading documents repeatedly or entering the same information for every new service, users can store credentials in a secure digital wallet and share them when needed, under their control.

For businesses, verifiable credentials streamline onboarding while maintaining strong security and privacy standards. Because credentials can be cryptographically verified, platforms can confirm authenticity without contacting third parties or holding onto sensitive records themselves. This reduces verification time, simplifies compliance, and empowers users to manage their own identity data. It gives users the convenience they want while maintaining the security businesses require.

4. Fully Homomorphic Encryption (FHE)

For highly sensitive data, fully homomorphic encryption offers a promising solution. FHE allows computations to be performed directly on encrypted data, meaning that platforms can verify certain facts—like income levels or eligibility—without ever seeing the raw data itself.

While still in early stages of adoption, FHE represents a major breakthrough in privacy-preserving verification. Businesses can perform checks and validations without collecting or exposing personal information, dramatically reducing the risk of data breaches and giving users greater confidence in how their information is handled.

Applying Privacy-First Verification Across Industries

While the core technologies behind privacy-first verification are shared, how businesses apply them depends on the service and the risks involved. Instead of forcing users through full identity checks every time, companies can design flexible verification flows that confirm only what is necessary for each interaction.

Here’s how this approach can work across different industries:

1. Social Media

Social platforms face ongoing challenges related to fake accounts, bots, and manipulated engagement. Enforcing strict ID checks for all users may limit abuse, but it also introduces privacy concerns and can deter participation. A more practical alternative uses layered verification that scales with risk.

For new account creation, platforms could implement device fingerprinting or behavioral checks to ensure accounts are unique. These techniques verify that the account is operated by a real person without identifying who the person is. When risk increases, such as when someone runs political ads or moderates large communities, additional steps can be triggered. A liveness check could verify that the user is physically present, while a location credential could confirm regional eligibility. These safeguards are designed to uphold integrity without over-collecting data or burdening everyday users.

2. Gig Economy

Gig platforms depend on verified workers to deliver services safely and reliably. Traditionally, onboarding requires users to submit ID documents, vehicle information, and insurance records. These steps are often repeated when moving between platforms, leading to inefficiency and greater exposure of personal data.

With privacy-first systems, workers could undergo verification once through a trusted provider. The result is a set of verifiable credentials stored in the worker’s digital wallet. When signing up for a new platform, the worker can share only the required credentials—such as background check results or license validity—without uploading documents again. This accelerates onboarding, lowers platform costs, and limits data retention.

After onboarding, platforms can maintain trust through adaptive security. If a worker logs in from a new device or region, a quick liveness check can verify that the account remains under the control of the authorized user.

3. Event Ticketing and Age-Restricted Services

For businesses selling event access or age-restricted products, the goal is often to confirm eligibility rather than establish full identity. Verifiable credentials enable users to prove specific attributes such as ticket ownership or legal age without sharing additional personal details.

For example, after an initial identity check, a user could receive a credential confirming they meet age requirements or hold a valid digital ticket. At a venue, staff could scan this credential to verify access rights, using cryptographic proofs to prevent counterfeiting or resale. This limits physical document checks and accelerates entry.

Online retailers can follow a similar pattern. Rather than requesting sensitive information like birthdates or storing ID scans, a platform could request a credential proving age eligibility. This supports compliance while reducing the risk of data breaches and misuse.

4. Supply Chain and Cross-Border Trade

Efficient supply chains depend on the verification of roles, licenses, and cargo across a wide network of actors. But manual processes, disconnected systems, and document-based approvals slow down operations and increase the risk of error.

Verifiable credentials provide a flexible, secure alternative. Each participant in the chain—such as manufacturers, logistics firms, and customs officials—can receive credentials attesting to key facts like origin, regulatory approvals, or safety certifications. These credentials are cryptographically signed and can be presented as goods move through the supply chain.

At customs, for instance, officials could validate specific details about a shipment, such as its origin country or tariff classification, without accessing broader business information. This helps prevent fraud, ensure compliance, and protect trade secrets. By verifying only what is needed, companies maintain control over their data while speeding up border inspections and audits.

5. Consumer Technology and E-Commerce

Consumer platforms that handle purchases, payments, or device services often rely on outdated verification methods. These include account creation forms, SMS codes, and repeated data entry, which can reduce trust, slow transactions, and increase abandonment rates.

Privacy-first verification allows users to verify relevant attributes using credentials stored on their device. For example, when making a large purchase, a user could share a credential that confirms their billing region and name without manually entering information or exposing unnecessary data. The platform receives only what it needs to process the transaction.

Apple’s “Verify with Apple Wallet” is one of the clearest examples of this approach in action. Users can approve a request through a secure prompt on their device and share only the requested information, such as legal name or age. No data is stored centrally, and neither Apple nor the site requesting it gains ongoing access to user data. This system shows how privacy-first design can reduce friction while meeting verification needs, setting a new standard for trust in everyday digital interactions.

How to Build Smarter Verification Without Sacrificing Security or UX

Designing effective verification isn’t about adding steps or collecting more data. It’s about applying the right level of verification for each situation. Platforms that balance security and user experience don’t rely on rigid, one-size-fits-all flows. Instead, they build adaptive systems that adjust based on context and risk.

Here’s how to design verification that protects users and keeps the experience smooth:

1. Match Verification to the Risk

Not every interaction carries the same level of risk. Signing up for a newsletter doesn’t require the same checks as opening a financial account. Avoid defaulting to full KYC unless it’s absolutely necessary. Tailoring verification to the transaction minimizes friction for low-risk actions while reserving stronger checks for high-risk ones, like financial transactions or age-restricted purchases.

2. Start Light, Then Layer as Needed

Avoid overwhelming users at the start. Build progressive verification flows. A user creating an account might only need email or device verification. As they engage in more sensitive actions—like purchases, withdrawals, or publishing content—you can introduce layers such as liveness checks or credential verification. This keeps early interactions fast while adding protection when it matters most.

3. Collect Less Data by Default

Many privacy issues come from collecting more data than necessary. Start by asking: what’s the minimum information needed to verify this action? Minimizing data collection protects user privacy, lowers regulatory risk, and reduces your liability in the event of a breach.

4. Treat UX as a Security Strategy

Poor user experience can create security gaps. Confusing or overly complex verification steps increase the risk of drop-offs, mistakes, or users seeking shortcuts. Clear, well-designed interfaces help guide people through verification correctly and consistently. They also make it easier to spot unusual behavior, improving both security and compliance.

Conclusion

The idea that companies have to pick between security and user experience is becoming less true as new verification tools improve. Privacy-first verification gives businesses a way to protect users without forcing them to give up more personal information than necessary. Instead of collecting everything upfront, companies can verify what they need and leave the rest in the hands of the user.

As privacy expectations rise and digital threats keep evolving, businesses that focus on simple, flexible, and privacy-focused verification will be in a better position to serve their users and protect themselves. The ones that get this balance right will not only reduce risk but also build stronger trust with the people they serve.

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