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How Device Intelligence Helps Fintechs Prevent Multi-Account Abuse at Scale

SHIELD — Tue, 23 Dec 2025 13:38:31 +0000

Device Intelligence for Fintech has emerged as a critical security layer as modern fraud evolves beyond identities into device-driven abuse. This article aims to help fintech platforms understand how multi-account abuse occurs, how it can be detected at scale, and why device-first fraud prevention is essential to protect growth and trust.
To understand why fintechs are rethinking fraud prevention, it’s important to first examine the new fraud reality they face.

The New Fraud Reality for Fintechs

Account takeovers and multi-accounting have become two of the most damaging fraud threats for fintech platforms in recent years. When left unchecked, they enable fraudulent transactions, money laundering, loan application fraud, and large-scale abuse of rewards; directly impacting revenue, compliance, and customer trust.

The problem is accelerating. According to the Veriff Fraud Report 2025, account takeover cases increased by 13% compared to 2023, while multi-accounting grew by 10% year-on-year. What makes multi-account abuse especially dangerous is speed. Once fraudsters gain access, they can create and exploit multiple accounts within minutes, causing losses that are hard to reverse.

Traditional defenses such as IP checks, OTPs, KYC, and cookies are no longer enough. Fraudsters have learned how to bypass these controls at scale, leaving fintechs with limited visibility into repeat abusers. This has made it clear that fintech platforms need a deeper detection layer. One that goes beyond identity and sessions, driving the shift toward Device Intelligence for Fintech.

How Device Intelligence Detects Multi-Account Abuse & Account Takeovers Across Fintech Platforms

Account takeovers and multi-account abuse are fundamentally device-driven crimes. Every fraudulent action starts from a device; whether it is account creation, login, abuse, or monetization. That’s why the only reliable way to detect repeat abusers is by understanding the device itself.
In this context, understanding a device means analyzing the signals it generates: its technical attributes, environment, and consistency over time. By correlating these signals over time, fintech platforms can detect risky devices early and identify patterns linked to multi-account abuse and fake accounts, before fraud escalates.

How Device Intelligence Identifies Multi-Account Abuse at Scale

Device intelligence enables fintech platforms to identify and link fraudulent devices at scale, even when fraudsters attempt to mask their identity across multiple accounts. Instead of relying on isolated signals, it focuses on the one constant behind repeated abuse, ’the device’ used to access the platform.

By compiling a wide range of attributes, device intelligence creates a persistent and unique device identifier (often referred to as a device fingerprint). This allows fintechs to recognize the same underlying device across different sessions, accounts, and user identities, making multi-account abuse easier to detect and contain.

To achieve this level of accuracy, device intelligence evaluates three core parameters that work together to establish device uniqueness and risk.

Deep Device Attributes (Hardware + Software)

A few of them include:

Operating system and version
Installed hardware characteristics
Screen resolution and display parameters
Installed fonts and keyboard layout

👉 Why these work: they’re hard to spoof consistently and remain stable across sessions and accounts.

Browser, App, and Network Configurations

A few of them include:

Browser name, version, and user-agent string
Browser privacy and cookie settings
Installed browser extensions
HTTP header attributes

👉 Why these work: abnormal combinations often indicate emulators, automation tools, or controlled environments.

IP, Geolocation, and Environmental Signals

A few of them include:

IP address and network type
Geolocation and time-zone alignment
Browser language and operating system language
Audio and HTML5 canvas fingerprinting data

👉 Why these work: they expose impossible travel, location spoofing, and coordinated multi-account activity.

How Device Intelligence Stops Multi-Account Abuse in the Fintech User Journey

The flowchart below illustrates how device intelligence enables scalable multi-account fraud prevention across key fintech user touchpoints.

What is Device Risk Scoring & its Role in Detecting Abusers Early

A device risk score (also known as a device trust score) is a dynamic numerical indicator assigned to every individual device that accesses a fintech platform. The score typically ranges from 0–100, 1–5, or A–F (based on preference), and it reflects how trustworthy that specific device is at any given moment.

If a device begins to exhibit risky characteristics (such as the use of emulators, GPS spoofing, or abnormal configurations), the score adjusts accordingly. This allows fintech fraud detection solutions to identify risky devices early, often before multi-account abuse or other fraudulent activity occurs.

👉 Why it works: By maintaining a unique risk score for each device, fintech teams can automate decisions, reduce manual reviews, and intervene before fraud escalates.

Here is an example:

Use Cases : Fraud Detection in Fintech using Device Intelligence

WINK, a fully digital neobank in Costa Rica, needed to secure instant account onboarding while strengthening fintech fraud detection solutions across its platform.
The platform faced threats including multi-account abuse, promo exploitation, account takeovers, and money laundering, often driven by emulators, app cloners, and malicious tools.
By leveraging device intelligence for fintech, WINK was able to identify fraudulent devices, link hidden accounts, and enable effective multi-account fraud prevention in real time.
This approach helped prevent account takeovers caused by accessibility exploits while maintaining a seamless customer experience.
As a result, WINK achieved a 99.9% genuine user rate and strengthened long-term trust in its digital ecosystem.

👉 Read the full case study to see how device intelligence helps fintechs detect and stop fraud at scale. - https://shield.com/case-studies/wink

SHIELD: The Best Device Intelligence Solution for Fintech

SHIELD’s Device Intelligence is built on two core layers: device identification and real-time fraud intelligence. Together, they help fintech platforms accurately identify devices, link hidden accounts, and stop multi-account abuse and account takeovers before losses occur.

At the foundation is SHIELD Device ID, the global standard for device identification. It uniquely identifies every physical device accessing a platform with over 99.99% accuracy, remaining persistent even when fraudsters attempt factory resets, fingerprint scrambling, or other evasion techniques. This makes it highly effective at eliminating fake accounts and device farms at the source. Complementing this is SHIELD Fraud Intelligence, which continuously profiles device sessions and delivers real-time, actionable risk signals. With over 20 configurable risk indicators, it detects malicious tools and techniques and pinpoints the exact moment a device transitions from low risk to high risk.

Today, SHIELD’s device intelligence is trusted by leading digital platforms globally, including Alibaba, inDrive, and fintech leaders such as TrueMoney, WINK, and MayaBank.

Frequently Asked Questions:

How does device intelligence reduce operational costs for fintech fraud teams?

Device intelligence assigns a risk score to every device, allowing fintech teams to automatically identify high-risk activity early in the user journey. This reduces reliance on manual reviews and rule-heavy investigations, which are costly and time-consuming. By automating fraud decisions and focusing resources only on genuinely risky devices, fintech platforms can operate leaner fraud teams, minimize false positives, and stay ahead of fraudsters without increasing operational overhead.

How quickly can a fintech deploy device intelligence across web and mobile platforms?

A device intelligence solution (the base version) can typically be integrated across web and mobile applications in under 24 hours. Once deployed, it begins generating actionable insights on risky and fraudulent devices almost immediately. Integration timelines may vary slightly depending on the level of customization required, but most fintech platforms can start benefiting from device-level fraud detection within a very short setup window.

What types of multi-account abuse does device intelligence detect (promo fraud, loan fraud, referral abuse, synthetic identity)?

Device intelligence helps fintech platforms strengthen multi-account fraud prevention by detecting:

Promo and referral abuse driven by multiple fake accounts
Account takeovers originating from compromised or risky devices
Money laundering across networks of connected accounts
Synthetic identities and coordinated account creation
Fake accounts created to exploit fintech incentives and offers
Loan application fraud using repeated or linked devices

By linking activity at the device level, fintech platforms can detect fake accounts and coordinated abuse patterns that traditional controls often miss.

Conclusion:

Fraud on fintech platforms is fundamentally a device-level problem, and addressing it at scale requires device intelligence. By gaining visibility into devices rather than isolated identities, fintechs can stop multi-account abuse early, reduce operational strain, and protect genuine users.

If you’d like to explore how device intelligence for fintech can be integrated into your platform and support your fraud prevention strategy, schedule a conversation with our fraud prevention experts.

Best Practices to Implement Identity Theft Protection Services For Digital Platforms

SHIELD — Thu, 14 Aug 2025 12:21:54 +0000

Is identity theft something businesses can afford to overlook? Is identity fraud just a minor risk that comes with operating a business online, or is it serious enough to shake the very foundation of a business? There’s been a lot of debate around this, and today, we’re setting the record straight.

As we move deeper into the 21st century, one thing is clear: no form of fraud is small or dismissible. Identity theft, often underestimated as a fringe concern, has evolved into a growing business threat. Identity fraud is one of those threats that often serves as the foundation for larger, more damaging fraud. It paves the way for fraudsters to get close enough to deliver a significant blow, one that’s often hard to recover from.

For example, a stolen identity can be used to create fake merchant accounts or gain access to business systems, eventually leading to large-scale financial theft or data breaches. This means that identity theft is a threat serious enough for digital-first businesses to make identity theft protection a top priority.

In this article, we will learn about identity theft protection, how it works, and why businesses need it. Let's begin with the definition.

What Is Identity Theft Protection (ITP)?

Identity theft protection refers to the process of detecting, preventing, and mitigating the misuse of identity on digital platforms.

To spot identity theft on a digital platform, businesses look for signs like multiple accounts being accessed from the same device, logins from unusual locations, sudden changes in user details, high-value or irregular transactions, failed verification attempts, and inconsistent device or browser fingerprints.

Proactive user authentication tools and fraud detection strategies, such as device and browser fingerprinting, behavioral analytics, and account risk scoring, come in handy to identify users with fake or fabricated identities.

Why Digital Businesses Need Identity Theft Protection?

Identity theft is a serious concern for digital businesses, as platforms infiltrated by fake users quickly lose trust. Today’s users are highly sensitive about data protection and will often choose a platform that offers fewer features or even comes at a higher cost over one that exposes them to identity risks.

Last year (2024), identity theft and related scams cost Americans an estimated $47 billion, according to a joint report by AARP and Javelin Strategy & Research. That’s a $4 billion increase from 2023, with $27 billion lost to traditional identity fraud and another $20 billion to scam-based schemes.

That’s what makes identity theft protection vital for digital businesses, to prevent consequences like fake signups, account takeovers, promo abuse, and financial fraud (especially on platforms involving money transactions).

The cost of overlooking identity fraud on digital platforms includes revenue loss, chargebacks, customer churn, regulatory fines, and irreversible damage to brand reputation.

Best Practices for Implementing Identity Theft Protection on Digital Platforms:

Use layered protection
Bad actors are smart and constantly find ways to evade detection. Digital platforms must not rely on a single verification method but instead adopt a multi-layered approach covering device, behavioral, and identity signals before approving a user as genuine.

Monitor at every touchpoint
Fraud is often committed by users who appear genuine, as fraudsters typically mimic legitimate behavior before making a move. Digital businesses must monitor user interactions at every touchpoint, especially during sign-up, login, and payment, to improve the chances of identifying suspicious activity.

Balance security and UX
Asking users to verify their identity every time they take an action can lead to frustration and user aggression. Digital businesses must prioritize user experience, minimize friction for genuine users, and adopt fraud detection solutions that work discreetly, operating continuously in the background and only intervening when a real threat is detected.

Choose scalable solutions
Fraud threats vary by industry, location, demographics, and significantly with business size or growth stage. Businesses must understand that while they may currently face only identity theft or similar small threats, expanding operations often bring more complex and severe fraud risks. A solution that can scale and adapt without heavy maintenance as the business grows is ideal.

Go for 3rd party
Fraud prevention solutions require continuous updates and improvements to keep pace with evolving business needs and industry trends—something that demands significant resources. Businesses should avoid building in-house solutions unless they can commit to long-term support. A third-party solution that seamlessly integrates with existing teams and processes is the smarter choice.

Identity theft protection isn’t optional — but building it in-house is.
Leverage expert-built, plug-and-play identity theft protection solutions to protect your users, your revenue, and your brand - visit here.

Best Identity Theft Protection Solution - SHIELD

SHIELD is an intelligent fraud prevention solution powered by adaptive AI and machine learning that stops fraud at its root.

What makes SHIELD the best identity theft protection solution is its ultra-resistant Device ID, which uniquely identifies devices across app and web platforms with over 99.9% accuracy. It acts as a nightmare for fraudsters using fake or manipulated identities, accurately pinpointing devices even after factory resets or advanced tampering. In short, with SHIELD in action, fraudsters can’t hide their true identity.

SHIELD empowers hundreds of digital businesses worldwide to detect fake accounts and multi-accounting at the source, ensuring that no foul play goes unnoticed.

If you’re ready to protect your business with SHIELD, book a demo or explore our platform to see how it works in action.

5 Essential Factors to Consider When Choosing Device Fingerprinting Companies

SHIELD — Fri, 22 Nov 2024 07:41:52 +0000

Choosing a device fingerprinting solution is more than just a checkbox on your to-do list—it’s a pivotal decision that requires careful consideration and research. With so many device fingerprint companies available and everyone claiming to be the best, it can feel like navigating a maze without a map. But fear not! In this article, we’ll simplify the process by highlighting five essential factors to consider when selecting a device fingerprinting company.

5 Factors to Consider When Choosing for Device Fingerprinting Companies

1. Accuracy, Precision, and Technology

Just as device fingerprinting operates with a thorough and meticulous approach, business owners need to conduct comprehensive research to figure out the device identification reliability of these device fingerprinting companies.

Make sure to:

Examine the technology used for gathering device details (such as behavioral biometrics, cookies, etc.) and its effectiveness.
Investigate the solution’s false positive probability.
Enquire about how the solution refines its accuracy over time and adapts to evolving threats.

2. Ensuring Compliance with Data Privacy Standards

Implementing device fingerprinting is a sensitive matter, as it can raise concerns among users regardless of the level of protection in place. It’s essential to earn your users’ trust and maintain their confidence in your platform by choosing a solution that works in full compliance with regulations such as GDPR, CCPA, and other data protection laws.

Make sure to:

Investigate how device fingerprinting companies handle user data and obtain consent.
Consider that all legal obligations are followed.
Follow transparent practices, as it’s fundamental to building trust with your users.

3. Integration Flexibility and System Compatibility

Next on our list of things to remember while choosing device fingerprinting companies is the seamless integration of the device fingerprinting solution as per your business. The solution should not disrupt the functionality of your app—whether for users or administrators—and must not place any additional burden on your management team.

Make sure to:

Evaluate how easily the fingerprinting solution can be integrated into their platform.
Consider how the solution can adapt to future business goals, and growing user bases without performance degradation.
Try a demo before finalizing on a device fingerprinting company because this investment is for the long run.

4. Past Experience & Genuine Customer Reviews

A company's past performance speaks volumes, and it cannot hide from its failures. While every device fingerprinting company may claim to be the best, it’s the real experiences of existing or former client base that truly reveal the truth behind those promises.

Make sure to:

Take a look at the companies’ online presence - how it has affected businesses in the past, their client base, the response of their client base, etc.
Explore case studies showcasing effective implementations by various device fingerprinting companies.
First narrow down the digital platforms that have benefited the most from them and then refine the ones that are similar to your domain.
To look for reviews on 3rd party genuine review websites or social platforms to get an impartial opinion about the company.

5. Customer Support and Resources

Problems can and will arise, and it's crucial that you’re not left high and dry after implementing a device fingerprinting solution. Having reliable support can make all the difference in maintaining the smooth operation as it ensures that your team can quickly access the resources they need or reach out for assistance during critical moments.

Make sure to:

Narrow down only those device fingerprinting companies with dedicated account managers to take care of queries.
Consider companies that are always looking out for your best interest too and notify for every suspicious activity within your digital platform.
There is enough availability of training materials and resources to help your team maximize the technology's potential.

Conclusion

This wraps up our list of five essential factors to consider when selecting a device fingerprinting company. By weighing these important factors, decision-makers of digital platforms can make informed choices that protect their business and foster confidence among their users.

Fraud is an ever-present shadow in the online business landscape, complicating every business action and putting your hard-earned success at risk. And your one decision of choosing the right device fingerprinting company will eliminate all forms of fraud at its root.

How to choose the right fraud-management solutions for your business?

SHIELD — Fri, 23 Aug 2024 09:38:27 +0000

Can’t make up your mind about what factors to consider while choosing a fraud management solution for your business? Or are you having second thoughts about choosing the right fraud management solution? Whatever the case is, the best time to make this decision is NOW. If you delay this decision, you are most likely going to make your platform vulnerable to fraud and online threats. According to a report by the Association of Certified Fraud Examiners (ACFE) in 2022, an estimated $4.7 trillion is lost annually to online occupation fraud (Source). From a different perspective, a typical organization loses around 5% of its annual revenue to fraud each year. These numbers are evident that having a fraud management solution is a must for any organization to keep its platform safe. If you don’t have one or are having a hard time figuring out how to choose the right solution, this article will help you decide better.

In this article, we will explain what factors to consider when choosing a fraud management solution for your business:

How to choose the best fraud management solution

Here is the list of the factors to consider when choosing a fraud management solution for your organization:

Data Integrity & Data Privacy

Organizations should prioritize data integrity and privacy while considering a fraud management solution. Look out for solutions that do not store data from your platform. Here are 4 things to look out for:

- Data Storage: How the system saves or keeps data.
- Data Processing: How the system handles or manipulates data.
- Data Transmission: How the system sends or communicates data.
- Regular Data Compliance Audits: Determine if the system is regularly reviewed or audited to ensure it meets legal, regulatory, or industry standards.

Compatibility with your current business model

Compatibility of fraud management solutions with the current business model determines operational efficiency. Organizations must prefer solutions that can be easily integrated into the existing tech stack.

Real-Time Fraud Detection

An ideal fraud management system must have real-time fraud detection and alerting. As an example, fraudsters use GPS spoofers to manipulate location information & show their presence at a different location than the actual one. Real-time fraud detection solutions can detect malicious activity such as GPS spoofing, allowing you to investigate and potentially block suspicious devices. Organizations should consider solutions that can proactively detect fraudulent activity with continuous session monitoring and identify red flags like GPS spoofers, emulators, app cloning, and more without friction.

Scalability

When investing in a fraud management system, it's crucial to choose a solution that is both scalable and adaptable to meet the growing and changing needs of your business over time. Opting for a versatile solution that can address a wide range of use cases reduces the need for multiple third-party integrations, ensuring long-term effectiveness and minimizing the risk of obsolescence as your business evolves.

Machine learning and adaptability

Fraudsters are evolving day by day by creating new ways to commit fraud. An ideal fraud management system must be one step ahead of such new and unknown threats and should work on advanced machine learning algorithms that effectively adapt to new fraud patterns. This system regularly updates its models based on feedback from detected fraud cases, improving accuracy and reducing false positives over time.

Simple & Interactive User Interface

The addition of a new fraud management system should not be a burden on the organization. You must prefer solutions with an intuitive interface to reduce training time (of team members) and efficiently adapt to the workflow.

Legally compliant

Make sure the fraud solution you are considering complies with all relevant local and international laws (especially the General Data Protection Regulation, or GDPR).

Post Sales Support & Resources

The availability of proper post-sales support and resources (such as explainer videos and documentation) plays a significant role in determining the operational effectiveness of any fraud management solution. Make sure that your vendor does not leave you high and dry after you purchase the solution.

Ratings & Reviews

Call this old-fashioned, but the best way to check whether the fraud management system is really what it claims to be is through authentic online reviews and ratings. Take some time to visit websites such as Capterra, Trustpilot, G2, & TrustRadius, to understand the real effectiveness of the solution from its real users. You can also explore forums such as Reddit and Quora to get a clearer picture.

This wraps up our list of 10 factors to consider when choosing a fraud management solution for your business.

Conclusion

For any online platform, encountering fraud is inevitable. If you have not decided how to deal with it, it's time to act now before it's too late. Delays in addressing fraud can lead to greater financial losses, reputational damage, and increased difficulty in managing and mitigating fraud risks effectively.

Consider the 10 points above to determine which fraud management system best fits your organization's needs. As a robust solution that stops fraud at its roots, choose SHIELD as your ally in combating fraud on your online platform.