Myth Buster: Most Consumers Aren’t at Risk for Identity Theft

by Michael Bruemmer 4 min read September 18, 2017

Businesses may be increasingly aware of identity theft threats to their customers, but anExperian surveyshows that many consumers still seriously underestimate their risk of falling victim to identity thieves. In fact, the persistent and harmful myth that the majority of consumers are not vulnerable to identity theft is badly in need of debunking.

Consumer misconceptions

The online Experian survey of 1,000 Americans, age 18 and older, found many consumers have a false sense of security about identity theft, even those who regularly engage in behaviors that can dramatically elevate their risk of having their identities stolen. For example:

  • Sixty-two percent of consumers said the security of their personal information online is a minor concern that doesn’t worry them much, and 17 percent never worry about it at all. The top reason for their lack of concern? Twenty-seven percent said it was because they didn’t share that much personal identifiable information (PII) online. Yet consumers store an average of 3.4 types of PII online, and have a large digital footprint that can make it easy for cybercrooks to track and steal their information.
  • Half believe poor credit means identity thieves won’t be interested in stealing their PII.
  • Twelve percent believe they’re safe because they take security precautions, and 9 percent think using only secure websites insulates them from identity theft risks.

Risky behaviors

When identity theft occurs, consumers are likely to blame any business they associate with the theft. A Gemalto survey found that consumers said protecting their data is 70 percent the responsibility of the companies they do business with, and just 30 percent their own responsibility, Infosecurity Magazine reports. What’s more, 29 percent said they don’t think businesses take their responsibilities seriously enough when it comes to protecting consumer data.

Yet the survey found consumers are probably far more responsible for identity theft than they think because they continue to engage in behaviors that put them at greater risk. These include:

  • Shopping online over a public Wi-Fi connection (43 percent)
  • Allowing others to use online account names and passwords (33 percent)
  • Letting others know their mobile device passwords (29 percent)
  • Sharing payment card numbers and/or PINs (25 percent)
  • Letting others use their PII to secure a job or credit (20 percent)
  • Failing to enroll in credit monitoring or identity theft protection services (82 percent)
  • Leaving it up to their banks and credit card companies to catch signs of fraud (81 percent)

These dangerous habits can expose consumers’ PII to cybercriminals, even though half of those we surveyed didn’t think they were likely to become victims of identity theft.

Impact of identity theft

When consumers become identity theft victims, they experience a range of negative emotions and real consequences that affect them personally and financially. According to a survey by the Identity Theft Resource Center, identity theft victims reported feeling frustrated, fearful, angry and stressed. Many had trouble concentrating, lost sleep and felt physically ill because of the crime. They also reported the identity theft overshadowed their personal relationships, their personal and professional credibility, and even affected their ability to get jobs. Some even lost their jobs as a result.

What companies can do

Clearly, identity theft can be devastating and consumers need to do more to protect themselves. When it occurs, identity theft also undermines the consumer’s trust in companies and institutions, especially if the identity theft occurred in connection to or following a data breach.

Helping consumers protect themselves from identity theft benefits everyone. Consumers can avoid the financial and emotional turmoil identity theft causes, and companies can help preserve their relationship with customers.

As part of an effective data breach response plan, companies should include a consumer care element that provides breached consumers with:

  • Free identity theft protection and credit monitoring services
  • Dark web and internet records scanning
  • Fraud resolution services
  • Identity theft insurance

Myth debunked

Year after year, identity theft statistics demonstrate that most consumers are at risk of falling prey to identity thieves, no matter what they believe to the contrary. Unfortunately, consumers continue to take actions that can place their identities at risk. While you can’t force your customers to stop accessing their bank accounts over airport Wi-Fi or using the same password for all their financial accounts, you can take steps to reduce the risk they’ll experience identity theft because of something your organization did or didn’t do.

Helping consumers protect themselves from identity theft makes good business sense, and it’s the right thing to do. Plus, consumers expect it; according to the Ponemon Institute’s “Mega Data Breach: Consumer Sentiment” survey, 63 percent of consumers believe a company that experiences a data breach should offer free identity protection to customers affected by the breach.

Related Posts

Used EV Growth Signals a New Phase of Consumer Purchasing Behavior

The electric vehicle (EV) revolution isn’t slowing down, it’s changing lanes. While recent conversations have seemingly focused on softening demand for new EVs, the used segment has been gaining momentum. According to Experian Automotive’s 2025 EV Year in Review Report, new retail individual EV registrations fell 35.9% year-over-year. Meanwhile, the used retail individual EV registrations grew 25.4% from a year ago. As affordability and growing model availability reshapes consumer behavior, buyers are increasingly turning to pre-owned EVs, which has shown an interesting market divergence that is redefining how consumers are adopting this segment and what it can mean for automakers, dealers, and the overall industry. Key players behind rising used EV demand Notably, Tesla accounted for over half (60.5%) of used retail individual EV registrations in 2025, followed by Chevrolet at 6.4% and Nissan (5.5%). Diving a bit deeper, Tesla made up the top three models of the used individual registrations last year, with the Model 3 coming in at 27.2%, Model Y at 21.7%, and Model S (6.6%). The Chevrolet Bolt EV followed at 4.8% and the Nissan Leaf was at 4%. Tesla’s position as the leading make in the used EV market is a natural extension of its long-standing dominance in new EV sales. The brand’s leadership over the years created a large fleet of vehicles that are now entering the pre-owned market. What the used EV boom means for automotive professionals The growing demand for used EVs can present more opportunities for automotive professionals. Dealers that provide a healthy supply of pre-owned EVs can increase accessibility and play a role in adoption for consumers who are actively looking to purchase, while marketers can emphasize value and ownership benefits. As the market continues to evolve, automotive professionals who understand and respond to these changing dynamics will be best positioned to capitalize on the expanding pool of used EV shoppers. To learn more about EV insights, visit Experian Automotive’s EV Resource Center.

Published: June 30, 2026 by Kirsten Von Busch
How Terrace Finance Uses NeuroID to Respond to Fraud Faster and Smarter

Learn how Terrace Finance used NeuroID behavioral analytics to detect fraud faster, respond to attacks, and strengthen risk management.

Published: June 29, 2026 by Scarlet.Nickel@experian.com
Ask the Expert: A Closer Look at Modern Lending with Jeff Hops and Erin Haselkorn

In this first episode of Ask the Expert, Experian's Jeff Hops, Senior Director of Data Platform and Product, and Erin Haselkorn, Senior Director of Analyst Relations, explore how broader data and new signals can help lenders better understand today’s consumers, while maintaining responsible decisioning. Lending is changing  Interest rates, regulation, embedded finance and AI are reshaping the lending landscape. Consumer behavior is evolving just as quickly. But the core job hasn’t changed. Lenders are still making decisions about people they don’t fully know, and that makes data more important than ever. "There are periods where nothing changes, and periods where it seems like everything changes. We’re in the latter … but the core premise hasn’t changed. You’re still trying to lend to somebody you don’t know."Jeff Hops, Senior Director of Data Platform and Product To make those decisions with confidence, lenders need a strong foundation of identity, history and reliable signals. In a period of rapid change, the quality and completeness of that data become even more critical. A more complex view of today’s consumer What has changed is the consumer. Traditional credit data is foundational but can be further enhanced with visibility on how people earn, manage and move money. Income may come from multiple sources, and financial activity often spans bank accounts, applications (apps) and digital channels. Cash flow data, for example, can provide a clearer view of what’s actually coming into a consumer’s account, beyond what traditional records may show.These additional signals can help lenders better understand: Income variability across multiple earning sources Current financial behavior through cash flow activity Digital and identity-linked activity across channels These signals don’t replace traditional data; they expand it. The result is a more complete and current view of the consumer. From exploration to real-world application The conversation around broader data signals has moved beyond theory. Lenders are no longer just asking whether these signals are useful. They’re asking where, how and under what governance they can be applied across the lending lifecycle. Lenders are actively researching, testing and implementing new data sources across the lending lifecycle. What was once experimental is now operational. Institutions are progressing through a clear path: Research Understanding available signals and use cases Testing Evaluating performance in controlled environments Implementation Applying insights in production Today, alternative data is being used in areas like analytics, channel scoring and decisioning, often within governed environments that allow for safe testing and validation. AI may accelerate this shift by helping institutions identify patterns at scale, but its value depends on the strength of the underlying data: quality, governance, context and clear business use cases. More signal, more responsibility As data availability expands, lenders have access to more granular insights than ever before. That creates opportunity, but also responsibility. The institutions that lead won’t be the ones that use the most data. They’ll be the ones that know which signals to use, how to validate them and how to apply them in ways that are fair, explainable and aligned to consumer outcomes. “Institutions can unlock more granular and powerful decisions, but they have to do it responsibly.”Erin Haselkorn, Senior Director, Analyst Relations The future of lending will be shaped not just by how much data is available, but by how thoughtfully it’s applied. Keeping the consumer at the center of decisioning is essential to building trust and long-term success. Explore alternative data with us A more complete understanding of today’s consumers starts with better data. We help lenders responsibly incorporate broader data signals and advanced analytics into decisioning strategies, enhancing visibility into today’s consumers while strengthening risk assessment and expanding access to credit. Let’s work together to build more confident, more responsible lending decisions. Learn more Contact us About our experts Jeff Hops Senior Director, Data Platform and Product, Experian Jeff Hops is a Senior Director in Experian’s Financial Services and Data business with over eight years of experience driving innovation in credit and data solutions. He has led product development for Experian’s Credit Report and played a key role in launching Ascend Identity Platform™, a leading identity resolution platform. Erin Haselkorn Senior Director, Analyst Relations, Experian Erin Haselkorn is responsible for analyst relations for Experian. She has developed an understanding of key marketing trends across a broad range of verticals. Her market research around data strategy, AI, fraud, identity and data management, paired with her broad Experian product knowledge, gives her a unique understanding of business automation and data trends. Erin is a frequent spokesperson and guest blogger.

Published: June 22, 2026 by Julie.JLee@experian.com