Mobile Fraud Trends #CreditChat – there’s always a first time for everything

by David Britton 5 min read June 25, 2014

Today I co-hosted a TweetChat with Experian on mobile fraud trends. To be honest, it was the first Twitter Chat I took part in. It was fun, informative and a great way to connect with folks in our industry – from our customer base, partners and more.

The discussion was fast paced and the 140-character limit for tweets means I wasn’t able to elaborate on many of the points I made. Thus, thought I would share my insight through a blog post.

What are the most common types of mobile fraud?

Malware. According to Forbes, 97 percent of mobile malware is on Android devices. That’s not to say that Apple isn’t seeing it, too.They are, but at a much reduced scale due to their validation processes. Forbes also states that android malware rose from 238 threats in 2012 to 804 new threats in 2013 and continues to rise.

Mobile malware has a couple of varieties that everyone should be aware of. They’re increasingly common and you’ve likely seen the first one making media headlines like rapid fire in recent months:

  1. Ransomware: locks a user’s phone and fraudsters demand payment to unlock it.
  2. Credential stealing malware: attempts to capture the credentials of the victim as they access a service.
  3. Premium dialing/texting malware that uses victim phones to increase traffic and charges to rogue accounts.

Courtesy of AppleInsider

Mobile fraud, as a category, also needs to include the use of the mobile device by fraudsters as the attacking instrument. Fraudsters exploit the fact that organizations may not have applied the same security measures to their mobile access points that they have in their traditional online access. Big mistake. All organizations should make sure that they are not exposed to fraud originating from the mobile channel (either mobile app or mobile web based.)Companies need to ensure they can identify the device regardless of platform.

Am I more at risk on my mobile device than I am on my computer?

As a consumer, industry data has illustrated that there is no significant difference between the risk of the PC and a mobile device.The PC is still a much more valuable target to fraudsters, considering its wide use. But as the mobile platform continues to grow, mobile exploits are also growing, forcing the industry to build in more robust strategies around mobile access.This includes the platform providers, app developers and businesses that want to increase their mobile offerings.

The bigger point here is that the Apple platform has much less malware activity than the Android platform does today. Apple has stringent developer policies and scrutiny.

For businesses, as a relative percentage of device activity, we are beginning to see that there is more fraud in the mobile channel than in the traditional channel. Bear in mind that mobile volumes today are still much smaller than the traditional PC.Mobile can also be a fraud staging area, where fraudsters can see balances and activity and then takeover your account… But this is not a vulnerability with the consumerusingtheir device, rather it’s with the fraudsters usingthe mobile channel since it’s aseparate channel where the banks may not have effective cross-channel visibility.

How do I know if you have a legitimate app vs a fake / fraudulent app?

There are a few simple steps to verify the legitimacy of apps – check for typos, grainy logos and images and check user reviews on the app store. Moreover, this is an issue of where users are getting their apps. Make sure you are only downloading apps from the platforms’ authorized app environments. And keep in mind that the prevalence of malware on the Google Play platform is much higher than that on the AppStore.

What other risks do mobile devices pose to personal identity?

The phone doesn’t necessarily present greater risks than PCs, but people do tend to use them more frequently, and with less of a thought toward security.My advice: make a habit of locking your phone and don’t buy apps from sketchy platforms.

What are the methods that banks and retailers are choosing to secure mobile payments?

It’s a device access versus personal access issue. Need for business is to recognize devices regardless of payment type. In the NFC space, there’s also a question of liability… who is on the hook when happens? Is it the merchant? The card issuer? There are still some gray areas when it comes to mobile wallet (NFC) transactions being used for physical purchases.

For NFC (in person) payments, the POS makers use industry standards–but they can still be vulnerable to attack based on malware distributed via POS terminals, as we have seen lately.

For mobile bank payments–some banks use device recognition and device behavior–but all banks really should use it–best way to detect rogue activity from the device.

Most retail mobile payments are tied to a wallet–so wallet providers must also secure access to the wallet ensure that it doesn’t become the weakest link.

Will passwords ever die? What other forms of identification might be used?

For businesses, passwords are already dead, since most have been stolen over the years. Businesses should be using device recognition – it’s one of the strongest tools to differentiate between good and bad users.

Any final tips on how people can protect themselves from mobile fraud?

Don’t buy apps from sketchy third party platforms. Don’t click on links from untrusted parties, lock your device, make sure your device is backed up and don’t payransomwaredemands.

If you have any other questions that weren’t answered in the #TweetChat, please leave a comment here or tweet to me at @DBritton41st.

Related Posts

2026 U.S. Identity and Fraud Report 

Explore key findings and insights from our newly released 2026 U.S. Identity and Fraud Report. Read more now!

August 5, 2026 by Laura Burrows
How ChexSystems Strengthened Consumer Fraud Monitoring with Experian

Learn how ChexSystems and Experian help financial institutions strengthen consumer fraud monitoring and build customer trust.

August 4, 2026 by Scarlet Nickel
The New Competitive Advantage in Fintech Is a Unified View of the Consumer

Fintech growth is returning, but growth alone is no longer enough to separate market leaders from the rest. The next stage of fintech will be shaped by how well organizations understand the consumers they serve, how accurately they assess risk and how consistently they make decisions across the customer lifecycle. That requires more than speed, more data or a single new model. It requires a unified view of the consumer that brings together identity, credit and behavioral signals into one decisioning strategy. Experian’s 2026 State of Fintech Report identifies partnerships, data and fraud as three forces shaping the next phase of fintech growth. The report also makes a clear point: institutions that integrate these forces into cohesive strategies will be better positioned to grow with confidence. For many fintechs, the challenge is not a lack of innovation. It is the increasing complexity of turning innovation into scalable, explainable and profitable growth. Fintech organizations span a wide range of maturity, from early-stage startups to scaled lenders, and many are experimenting with new products, technologies and customer engagement models at the same time. That creates opportunity, but it also creates pressure to make more disciplined decisions. The market is rewarding institutions that connect product strategy, risk management and customer experience in a more coordinated way. This is why the unified consumer view is becoming so important. It helps fintechs turn fragmented signals into consistent decisions that support both growth and resilience. Why a unified consumer view matters now A unified consumer view means bringing together the signals that define a customer’s identity, credit behavior, financial capacity and risk profile. It moves fintechs away from isolated decision points and toward a more connected picture of the customer across origination, account management and servicing. This matters because consumer behavior is becoming more fluid, fraud is becoming more sophisticated and product strategies are becoming more specialized. A customer may appear strong through one lens and risky through another. An application may pass an onboarding check, but later show behavior that suggests emerging fraud or repayment stress. Without a connected view, those signals may stay trapped in different systems or teams. The 2026 State of Fintech Report highlights this shift across several areas. Fintechs are managing credit cards and unsecured personal loans with greater precision, recognizing that each product requires different strategies and risk controls. Credit cards require ongoing account management because exposure continues after origination. Unsecured personal loans follow a fixed repayment structure, which makes underwriting precision especially important at the point of origination. These differences show why a one-size-fits-all strategy cannot support modern fintech growth. A unified consumer view helps lenders apply the right data, risk framework and customer strategy to the right product at the right time. Siloed decisions create blind spots Many fintechs already use multiple sources of data. They may rely on traditional credit data, alternative data, fraud tools, cash flow information, identity verification and internal account performance data. If those signals are managed separately, the organization may still lack a clear view of the customer. Data can become fragmented. Risk teams can reach different conclusions than fraud teams. Product teams can pursue growth without a full understanding of emerging portfolio pressure. The State of Fintech Report points out that fintech competition is increasingly defined by the ability to align data strategies with decision frameworks. That means data is not just a support function. It is becoming central to growth, risk management and customer experience. Organizations are investing in richer datasets and more advanced analytics, but the differentiator is how effectively those inputs are operationalized. This is where many fintechs still have work to do. The value comes not from any single dataset, but from how signals are layered, interpreted and applied together. For example, a lender may understand a consumer’s credit score, but that does not always reveal broader financial behavior. Cash flow data may add insight into income and expenses, but it needs to be categorized and normalized to support reliable decisions. Identity signals may help detect fraud, but they become more powerful when combined with credit and behavioral data. A unified view brings these inputs together so fintechs can better determine whether a customer represents a growth opportunity, a fraud risk, an emerging credit risk or a borrower who needs a different product experience. Product complexity requires better decisioning The need for a unified consumer view becomes even clearer when looking at how fintechs manage different credit products. Fintech lenders continue to originate approximately 1.5 unsecured personal loans for every one credit card, which reinforces the importance of both products within portfolio strategy. Credit card originations continue to grow moderately while unsecured personal loan originations have slowed after tighter lending standards. These patterns suggest that fintechs are not simply shifting from one product to another. They are becoming more mature in how they manage each product based on its structure, risk profile and consumer use case. Credit cards and installment loans behave differently. Credit cards introduce ongoing exposure and require active account management, line management and monitoring of utilization behavior. Unsecured personal loans carry fixed terms and structured repayment schedules, which makes origination quality especially important. For fintechs, this means product strategy and risk strategy must be tightly connected. The same consumer may need to be evaluated differently depending on the product, loan amount, repayment expectations and observed behavior. A unified consumer view gives lenders the context needed to make those differences actionable. This is also where segmentation becomes more sophisticated. The State of Fintech Report’s loan segmentation framework connects strategy, risk and data advantage across small-dollar, mid-tier and large-ticket loans. Small-dollar lending can support thin-file acquisition, but may require alternative data and stronger identity visibility. Mid-tier lending may involve debt consolidation and cash flow pressure, where transaction insights and trended data can be particularly useful. Large-ticket lending can support higher-value growth, but it also creates greater exposure and may require a fuller combination of credit, fraud and identity signals. This kind of framework helps fintechs align product strategy with risk and data strategy in a more deliberate way. Fraud is making the unified view even more urgent Fraud is another reason fintechs need to move beyond siloed decisioning. Fraud is becoming more complex across the customer lifecycle. Synthetic identities, first-party misuse and AI-driven threats are reshaping the risk landscape. Traditional controls that focus primarily on onboarding are no longer enough. Effective strategies now require continuous monitoring across account access, transactions and servicing. That shift changes how fintechs should think about customer intelligence. Fraud is no longer something that only happens at the point of application. It can emerge later through account behavior, suspicious activity or patterns that look normal when viewed in isolation. Advanced identity signals, including email intelligence, are becoming more central to fraud prevention because they add context that traditional data may not capture. The report also highlights Experian’s acquisition of AtData as part of a broader recognition that email-based identity signals represent a critical layer in digital identity and fraud detection.   The takeaway for fintech leaders is clear. Identity, fraud and credit risk cannot be treated as separate problems. A customer who appears creditworthy may still present identity risk. A fraud signal may also influence credit exposure. A repayment pattern may reflect financial stress, misuse or both. A unified view helps lenders evaluate these signals together so they can make decisions with more confidence and less friction for legitimate customers. Trust is becoming a growth strategy Trust has always mattered in financial services, but fintechs now need to think about trust as a measurable part of decisioning. Customers expect fast applications, seamless experiences and fair outcomes. Regulators and internal governance teams expect transparency, explainability and consistency. Business leaders expect growth without unnecessary exposure. These expectations are difficult to meet when data and decisions are fragmented. The State of Fintech Report’s 2026 action playbook identifies trust as a function of decision accuracy, identity confidence and customer transparency. That framing is important because it moves the conversation beyond speed alone. A fast decision is not valuable if it approves the wrong customer, declines a good customer or creates unnecessary friction in the wrong place. Fintechs should evaluate where friction improves outcomes, such as preventing fraud or identifying risk, and where it creates unnecessary loss of good customers. For many lenders, the path forward is not removing friction everywhere. It is applying the right level of friction at the right moment based on a clearer view of the consumer. This is where unified decisioning becomes a competitive advantage. It allows fintechs to create experiences that feel faster and more relevant while still protecting the portfolio. It supports better segmentation, more informed offers and more consistent risk treatment. It also gives teams a shared understanding of why decisions are made, which is essential as AI and automation become more embedded in lending workflows. What should fintech leaders do next? A unified view of the consumer is not built by adding one more tool or one more dataset. It requires a decisioning strategy that connects data, analytics, fraud, identity and product objectives. Fintech leaders should start by evaluating where their current decisioning frameworks fall short. Are credit and fraud signals looked at together? Are cash flow insights being used consistently? Are identity signals monitored after account opening? Are decisions explainable across teams and channels? The 2026 State of Fintech Report recommends prioritizing experimentation tied to measurable decision lift and model performance. This means testing combinations of credit, alternative, cash flow and identity signals to determine where incremental data improves response rates, approval rates, early-loss reduction and fraud mitigation. It also means treating data and decisioning as connected priorities, with a focus on signal quality, integration and measurable impact. The goal is not to collect more inputs for the sake of volume. The goal is to understand which signals improve outcomes and how those signals should be applied at scale. For fintechs, this is the next competitive frontier. Growth will continue to depend on product innovation, customer acquisition and speed to market. But the lenders that separate themselves will be the ones that can connect those growth priorities to a stronger decisioning foundation. That requires a consumer view that is broader than a credit profile, deeper than a fraud check and more actionable than a data warehouse. It requires a unified framework that helps lenders understand who the customer is, how the customer behaves and how risk may change over time. Download the 2026 State of Fintech Report The next phase of fintech will not be defined by a single innovation. It will be defined by the ability to connect identity, credit and behavioral data into more confident decisions across the full customer lifecycle. Fintechs that build this unified view will be better positioned to grow, manage risk and strengthen customer trust in a more complex market. To explore the trends shaping fintech growth and decisioning in 2026, download Experian’s 2026 State of Fintech Report. Read now To learn more about how Experian partners with fintechs, visit www.experian.com/fintech. Learn more

August 4, 2026 by Laura Davis

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe