Leveraging AI Fraud Detection

Updated: June 12, 2026 by Julie.JLee@experian.com 5 min read August 12, 2024

In a world where technology evolves at lightning speed, fraudsters are becoming more sophisticated in their methods, leveraging advancements in artificial intelligence (AI). According to our 2025 U.S. Identity and Fraud Report, 72% of businesses expect AI fraud to be among their top challenges by 2026. To combat emerging fraud threats, organizations are turning to AI fraud detection to stay ahead and protect their businesses and their customers, essentially fighting AI with AI. This blog post explores the evolving AI fraud and AI fraud detection landscape.

The rise of AI in fraudulent activities

Technology is a double-edged sword. While it brings numerous advancements, it also provides fraudsters with new tools to exploit. AI is no exception. Here are some ways fraudsters are utilizing AI:

  • Automated bot attacks: Fraudsters employ AI to design automated scripts that launch large-scale attacks on systems. These scripts can perform credential stuffing, where stolen usernames and passwords are automatically tested across multiple sites to gain unauthorized access.
  • Deepfakes and synthetic identities: Deepfake technology and the creation of synthetic identities are becoming more prevalent. Fraudsters use AI to manipulate videos and audio, making it possible to impersonate individuals convincingly. Similarly, synthetic identities blend real and fake information to create false personas.
  • Phishing and social engineering: AI-driven phishing attacks are more personalized and convincing than traditional methods. By analyzing social media profiles and other online data, fraudsters craft tailored messages that trick individuals into revealing sensitive information.

Watch now: Our 2025 Fraud Trends webinar explores how businesses can navigate rising risk, meet growing consumer expectations, and stay ahead of increasingly complex attacks.

Fighting AI with AI in fraud detection

To combat these sophisticated threats, businesses must adopt equally advanced measures. AI fraud detection offers a robust solution:

  • Machine learning algorithms: Fraud detection machine learning algorithms analyze vast datasets to identify patterns and anomalies that indicate fraudulent behavior. These algorithms can continuously learn and adapt, improving their accuracy over time.
  • Real-time monitoring: AI systems provide real-time monitoring of transactions and activities. This allows businesses to detect and respond to fraud attempts instantly, minimizing potential damage.
  • Predictive analytics: Predictive analytics uses historical data to forecast future fraud trends. By anticipating potential threats, organizations can take proactive measures to safeguard their assets.

Addressing fraud threats with AI fraud detection

AI’s versatility allows it to tackle various types of fraud effectively:

  • Identity theft: According to our research, 68% of consumers rank identity theft as their top online concern. AI systems can help safeguard consumers by cross-referencing multiple data points to verify identities. They can spot inconsistencies that indicate identity theft, such as mismatched addresses or unusual login locations.
  • Payment fraud: Coming in second to identity theft, 61% of consumers rank stolen credit card information as their top online concern. Payment fraud includes unauthorized credit card transactions and chargebacks. AI can be used in payment fraud detection to surface unusual spending patterns and flag suspicious transactions for further investigation.
  • Account takeover: Account takeover fraud, one of the top-most encountered fraud events reported by U.S. businesses, occurs when fraudsters gain access to user accounts and conduct unauthorized activities.* AI identifies unusual login behaviors and implements additional security measures to prevent account breaches.
  • Synthetic identity fraud: Synthetic identity fraud involves the creation of fake identities using real and fabricated information. AI fraud solutions detect these false identities by analyzing data inconsistencies and behavioral patterns.

Benefits of leveraging AI fraud detection

Implementing AI fraud detection offers numerous advantages:

  • Enhanced accuracy: AI systems are highly accurate in identifying fraudulent activities. Their ability to analyze large datasets and detect subtle anomalies surpasses traditional methods.
  • Cost savings: By preventing fraud losses, AI systems save businesses significant amounts of money. They also reduce the need for manual investigations, freeing up resources for other tasks.
  • Improved customer experience: AI fraud detection minimizes false positives, ensuring genuine customers face minimal friction. This enhances the overall customer experience and builds trust in the organization.
  • Scalability: AI systems can handle large volumes of data, making them suitable for organizations of all sizes. Whether you’re a small business or a large enterprise, AI can scale to meet your needs.

Financial services use case

The financial sector is particularly vulnerable to fraud, making AI an invaluable tool for fraud detection in banking.

  • Protecting transactions: Banks use AI to monitor transactions for signs of fraud. Machine learning algorithms analyze transaction data in real time, flagging suspicious activities for further review.
  • Enhancing security: AI enhances security by implementing multifactor authentication and behavioral analytics. These measures make it more challenging for fraudsters to gain unauthorized access.
  • Reducing fraud losses: By detecting and preventing fraudulent activities, AI helps banks reduce their fraud losses throughout the customer lifecycle. This not only saves money but also protects the institution’s reputation.

Experian’s AI fraud detection solutions

AI fraud detection is revolutionizing the way organizations combat fraud. Its ability to analyze vast amounts of data, detect anomalies, and adapt to new threats makes it an essential element of any comprehensive fraud strategy.

Experian’s range of AI fraud detection solutions help organizations enhance their security measures, reduce fraud losses, authenticate identity with confidence, and improve the overall customer experience. If you’re interested in learning more about how AI can protect your business, explore our fraud management solutions or contact us today.

* Source: 2025 U.S. Identity and Fraud Report

This article includes content created by an AI language model and is intended to provide general information.

Related Posts

Ask the Expert: A closer look at financial inclusion with Corliss Hill and Dr. Vaneesha Dutra

Consumer visibility is changing Roughly 45 million Americans, or 1 in 5 consumers, are considered credit invisible or unscoreable.[1] They’re working, paying bills and participating in the economy, yet many are not fully visible during the lending process. That creates both a visibility challenge and a growth opportunity for lenders. In this Ask the Expert session, Corliss Hill, Senior Director, Inclusion and Belonging at Experian, joins Dr. Vaneesha Dutra, Endowed Professor of Finance at Morehouse College, to discuss how evolving consumer behaviors are reshaping conversations around financial inclusion and lending decisions. For lenders, visibility matters because confident decisions depend on reliable context and insight. Broader consumer signals can help institutions better understand repayment behaviors, financial stability and consumer capacity. “The benefit of banks using alternative data is that they capture a very significant and new consumer base. That's 20% of the population, 45 million Americans.”Dr. Vaneesha Dutra, Endowed Professor of Finance A more complete understanding of today’s consumers Today’s consumers often manage obligations across a wide range of payment types and financial channels, creating additional signals through cash flow activity, recurring payments and consumer-permissioned financial data. Rent, utilities, subscriptions and mobile phone payments can all provide meaningful insight into how consumers manage their financial lives. What’s changing isn’t the need for risk assessment. It’s the amount of consumer behavior lenders can now evaluate. For example, a consumer experiencing temporary financial disruption may fall behind on certain obligations while continuing to consistently pay rent, utilities and phone bills. Those recurring payment behaviors can provide important context into financial priorities and stability. “These are consumers that pay rent on time every month, pay utilities every month on time and meet many other financial obligations in a timely manner.”Dr. Vaneesha Dutra, Endowed Professor of Finance From visibility to more-informed decisioning Broader consumer insights may help lenders move from limited visibility to more informed decisioning. The conversation shifts when lenders move from asking: “Should we take a risk on this consumer?” to: “Do we have enough information to fully understand this consumer?” That broader context can help institutions: Strengthen risk assessment. Identify financially active consumers with strong repayment behaviors. Support more informed lending strategies. Alternative data isn’t about replacing established credit approaches. It’s about helping lenders build on trusted credit foundations with additional context and insight. Responsible lending starts with better context For lenders, the path forward is practical and actionable. As lenders evaluate broader consumer behaviors, three priorities become increasingly important: Modernize data strategies Incorporate broader consumer signals alongside existing credit data to create a more holistic view of repayment behavior and financial stability. Engage consumers earlier Earlier intervention may help lenders better support consumers before financial challenges become more severe. Create pathways to financial access Smaller lending opportunities can help consumers establish stronger financial profiles and demonstrate positive repayment behaviors over time. The institutions that lead will be the ones that can combine strong risk practices with a broader understanding of consumer behavior. Whitepaper: Bridging the credit divide: income, risk and inclusion in consumer finance Building on the themes discussed in this Ask the Expert session, Dr. Dutra explores how demographic shifts, evolving borrower behaviors and broader consumer visibility are reshaping lending strategies and what they mean for lenders seeking to balance growth, risk management and financial inclusion. Download whitepaper Explore alternative data with Experian Experian can help lenders combine broader consumer insights with trusted credit data to strengthen decisioning, improve risk assessment and support more-informed lending strategies. With solutions spanning identity, cash flow and advanced analytics, lenders can gain a more complete view of consumer behavior and expand access to credit with greater confidence. Learn more Watch episode 1 About our experts Corliss Hill Senior Director, Belonging Business Partner, Experian Corliss Hill is a collaborative leader well-versed in working with executive stakeholders, crossfunctional teams, external partners and community organizations to design and deliver initiatives and programs that create sustainable impact. With over 25 years of extensive experience in multicultural marketing, communications, PR and inclusion and belonging initiatives, she is dedicated to advancing equitable access to financial. Her mission is to drive impactful marketing initiatives that foster meaningful change and address systemic barriers to inclusion and the communities they serve.Hill has been a part of the Experian family since 2021, and resides in Atlanta with her daughter who is a rising 11-year-old entrepreneur. Vaneesha Dutra, Ph.D. Endowed Professor of Finance and Associate Dean, Morehouse College Vaneesha Dutra, Ph.D., serves as Associate Dean in the Division of Business and Economics. With more than 20 years of experience spanning higher education, banking and real estate, Dr. Dutra’s work focuses on the racial and gender wealth gap, financial literacy and financial decision-making. She is an active researcher and consultant whose work has earned numerous grants and fellowships, including serving as the inaugural Tracy A. Pruitt Visiting Research Faculty Fellow at the Wharton School of Business. Dr. Dutra has also been named a Research Faculty Fellow for both the Center for Black Entrepreneurship and the PNC Bank Center for Entrepreneurship. [1] Consumer Financial Protection Bureau, Expanding access to credit.

Published: July 13, 2026 by Julie.JLee@experian.com
The American Fintech Council on Responsible Innovation

Ian P. Moloney of the American Fintech Council discusses responsible fintech innovation and Experian’s role in expanding credit access.

Published: July 8, 2026 by Scarlet.Nickel@experian.com
Electric Vehicle Registrations Are Growing Beyond Traditional Locations

For years, most electric vehicle (EV) adoption has been concentrated in California, New York, and other traditional early-adopter markets. And while those markets still lead the nation in total registrations, as of last year, some of the fastest-growing EV markets are in regions that haven’t played a significant role in the past. According to Experian Automotive’s 2025 EV Year in Review Report, EV adoptions seem to be entering a new phase that is spreading well beyond coastal strongholds. In fact, the top designated market areas (DMAs) that saw the fastest year-over-year growth for new retail individual EV registrations in the last five years were Detroit, MI (34.5%), Naples, FL (32.6%), Atlanta, GA (20.6%), Buffalo, NY (18.7%), and Charlotte, NC (17.3%). However, despite the growing demand in these market areas over the last few years, Los Angeles, CA still holds a strong lead in new retail individual EV registrations, with over 164,000 new adopters in 2025. Rounding out the top five were San Francisco, CA (85,000+), New York, NY (78,000+), Miami, FL (45,000+), and Seattle, WA (35,000+). EV adoption expanding well beyond the early-adopter markets could be a result of charging infrastructure growth, vehicle availability improvement, and consumer interest reaching new levels across the country. What does this mean for dealers? The extension of EV adoption into emerging markets signals that these vehicles are becoming a mainstream consideration for more consumers. As dealers look for ways to grow their presence in this segment, adopting marketing strategies, service operations, and inventory planning will be beneficial to meet changing buyer expectations and capitalize on the growing demand. The biggest takeaway isn’t necessarily which markets are selling the most EVs, it’s seemingly where adoption is gaining momentum. As new regions start to embrace these vehicles, it’ll be important to monitor the next phase of growth and where future opportunities may emerge. To learn more about EV insights, visit Experian Automotive’s EV Resource Center.

Published: July 7, 2026 by Kirsten Von Busch