Fraud & Identity Management

Fake IDs have been around for decades, but today’s fraudsters aren’t just printing counterfeit driver’s licenses — they’re using artificial intelligence (AI) to create synthetic identities. These AI fake IDs bypass traditional security checks, making it harder for businesses to distinguish real customers from fraudsters. To stay ahead, organizations need to rethink their fraud prevention solutions and invest in advanced tools to stop bad actors before they gain access. The growing threat of AI Fake IDs   AI-generated IDs aren’t just a problem for bars and nightclubs; they’re a serious risk across industries. Fraudsters use AI to generate high-quality fake government-issued IDs, complete with real-looking holograms and barcodes. These fake IDs can be used to commit financial fraud, apply for loans or even launder money. Emerging services like OnlyFake are making AI-generated fake IDs accessible. For $15, users can generate realistic government-issued IDs that can bypass identity verification checks, including Know Your Customer (KYC) processes on major cryptocurrency exchanges.1 Who’s at risk? AI-driven identity fraud is a growing problem for: Financial services – Fraudsters use AI-generated IDs to open bank accounts, apply for loans and commit credit card fraud. Without strong identity verification and fraud detection, banks may unknowingly approve fraudulent applications. E-commerce and retail – Fake accounts enable fraudsters to make unauthorized purchases, exploit return policies and commit chargeback fraud. Businesses relying on outdated identity verification methods are especially vulnerable. Healthcare and insurance – Fraudsters use fake identities to access medical services, prescription drugs or insurance benefits, creating both financial and compliance risks. The rise of synthetic ID fraud Fraudsters don’t just stop at creating fake IDs — they take it a step further by combining real and fake information to create entirely new identities. This is known as synthetic ID fraud, a rapidly growing threat in the digital economy. Unlike traditional identity theft, where a criminal steals an existing person’s information, synthetic identity fraud involves fabricating an identity that has no real-world counterpart. This makes detection more difficult, as there’s no individual to report fraudulent activity. Without strong synthetic fraud detection measures in place, businesses may unknowingly approve loans, credit cards or accounts for these fake identities. The deepfake threat AI-powered fraud isn’t limited to generating fake physical IDs. Fraudsters are also using deepfake technology to impersonate real people. With advanced AI, they can create hyper-realistic photos, videos and voice recordings to bypass facial recognition and biometric verification. For businesses relying on ID document scans and video verification, this can be a serious problem. Fraudsters can: Use AI-generated faces to create entirely fake identities that appear legitimate Manipulate real customer videos to pass live identity checks Clone voices to trick call centers and voice authentication systems As deepfake technology improves, businesses need fraud prevention solutions that go beyond traditional ID verification. AI-powered synthetic fraud detection can analyze biometric inconsistencies, detect signs of image manipulation and flag suspicious behavior. How businesses can combat AI fake ID fraud Stopping AI-powered fraud requires more than just traditional ID checks. Businesses need to upgrade their fraud defenses with identity solutions that use multidimensional data, advanced analytics and machine learning to verify identities in real time. Here’s how: Leverage AI-powered fraud detection – The same AI capabilities that fraudsters use can also be used against them. Identity verification systems powered by machine learning can detect anomalies in ID documents, biometrics and user behavior. Implement robust KYC solutions – KYC protocols help businesses verify customer identities more accurately. Enhanced KYC solutions use multi-layered authentication methods to detect fraudulent applications before they’re approved. Adopt real-time fraud prevention solutions – Businesses should invest in fraud prevention solutions that analyze transaction patterns and device intelligence to flag suspicious activity. Strengthen synthetic identity fraud detection – Detecting synthetic identities requires a combination of behavioral analytics, document verification and cross-industry data matching. Advanced synthetic fraud detection tools can help businesses identify and block synthetic identities. Stay ahead of AI fraudsters AI-generated fake IDs and synthetic identities are evolving, but businesses don’t have to be caught off guard. By investing in identity solutions that leverage AI-driven fraud detection, businesses can protect themselves from costly fraud schemes while ensuring a seamless experience for legitimate customers. At Experian, we combine cutting-edge fraud prevention, KYC and authentication solutions to help businesses detect and prevent AI-generated fake ID and synthetic ID fraud before they cause damage. Our advanced analytics, machine learning models and real-time data insights provide the intelligence businesses need to outsmart fraudsters. Learn more *This article includes content created by an AI language model and is intended to provide general information. 1 https://www.404media.co/inside-the-underground-site-where-ai-neural-networks-churns-out-fake-ids-onlyfake/

March is a time when the idea of luck is in the air, with St. Patrick’s Day celebrations and hopeful thoughts of pots of gold at the end of the rainbow. But while the "Luck of the Irish" may be a fun idea, scammers take advantage of this sentiment to exploit people through fraudulent lottery scams and prize schemes. Take, for example, the so-called "Luck of the Irish" scams that flood inboxes and phone lines every March. You might receive a message claiming you have won the "Irish National Lottery" or another grand prize, but there is a catch—you need to pay fees or provide sensitive personal information to claim it. Before you know it, the scammers have vanished with your money or used your data for further fraud. Red flags of lottery scams Financial institutions can help protect clients by educating them on the warning signs of fraudulent lottery schemes. According to the FTC website, here are three clear indicators that a prize is too good to be true: You must pay to claim your winnings – Legitimate lotteries do not require winners to pay taxes, fees, or handling charges upfront. If you are asked to send money to claim a prize, it is a scam. You never entered the lottery – If you did not buy a ticket or enter a sweepstake, you cannot win. Any message saying otherwise is a red flag. They ask for personal or financial information – No legitimate lottery will ask for your Social Security number, bank details, or credit card information to process winnings. How scammers operate Lottery scammers use a variety of tactics to trick victims, including: Impersonating well-known brands or government agencies to appear credible. Sending fake checks that later bounce after victims have sent money. Using high-pressure tactics, such as claiming the offer is time sensitive. Requesting payment through difficult-to-trace methods like gift cards, wire transfers, or cryptocurrency. How financial institutions can help clients stay safe Banks and financial institutions play a critical role in protecting their clients from falling victim to lottery scams. Here is how they can help: Educate clients: Provide fraud awareness materials explaining common scams, red flags, and safe financial practices. Implement transaction monitoring: Monitor for suspicious transactions, especially those involving large wire transfers or unusual payments to unknown entities. Encourage multi-factor authentication: Strengthening account security can prevent unauthorized transactions if scammers obtain a victim’s personal information. Offer a safe reporting channel: Encourage clients to report suspected scams so the institution can take preventive action and share warnings with others. Final thoughts Winning the lottery may be a dream for many, but no real jackpot comes with a catch. Financial institutions can be the first line of defense by helping clients recognize scams before they lose money. The best approach? Remind clients that the only "pot of gold" worth chasing is the one they have earned and safeguarded through smart financial habits. And finally, check out this educational tune with a catchy rhythm, designed to raise awareness about scams. Learn more

Fraud rings cause an estimated $5 trillion in financial damages every year, making them one of the most dangerous threats facing today’s businesses. They’re organized, sophisticated and only growing more powerful with the advent of Generative AI (GenAI). Armed with advanced tools and an array of tried-and-true attack strategies, fraud rings have perfected the art of flying under the radar and circumventing traditional fraud detection tools. Their ability to adapt and innovate means they can identify and exploit vulnerabilities in businesses' fraud stacks; if you don’t know how fraud rings work and the right signs to look for, you may not be able to catch a fraud ring attack until it’s too late. What is a fraud ring? A fraud ring is an organized group of cybercriminals who collaborate to execute large-scale, coordinated attacks on one or more targets. These highly sophisticated groups leverage advanced techniques and technologies to breach fraud defenses and exploit vulnerabilities. In the past, they were primarily humans working scripts at scale; but with GenAI they’re increasingly mobilizing highly sophisticated bots as part of (or the entirety of) the attack. Fraud ring attacks are rarely isolated incidents. Typically, these groups will target the same victim multiple times, leveraging insights gained from previous attack attempts to refine and enhance their strategies. This iterative approach enables them to adapt to new controls and increase their impact with each subsequent attack. The impacts of fraud ring attacks far exceed those of an individual fraudster, incurring significant financial losses, interrupting operations and compromising sensitive data. Understanding the keys to spotting fraud rings is crucial for crafting effective defenses to stop them. Uncovering fraud rings There’s no single tell-tale sign of a fraud ring. These groups are too agile and adaptive to be defined by one trait. However, all fraud rings — whether it be an identity fraud ring, coordinated scam effort, or large-scale ATO fraud scheme — share common traits that produce warning signs of imminent attacks. First and foremost, fraud rings are focused on efficiency. They work quickly, aiming to cause as much damage as possible. If the fraud ring’s goal is to open fraudulent accounts, you won’t see a fraud ring member taking their time to input stolen data on an application; instead, they’ll likely copy and paste data from a spreadsheet or rely on fraud bots to execute the task. Typically, the larger the fraud ring attack, the more complex it is. The biggest fraud rings leverage a variety of tools and strategies to keep fraud teams on their heels and bypass traditional fraud defenses. Fraud rings often test strategies before launching a full-scale attack. This can look like a small “probe” preceding a larger attack, or a mass drop-off after fraudsters have gathered the information they needed from their testing phase. Fraud ring detection with behavioral analytics Behavioral analytics in fraud detection uncovers third-party fraud, from large-scale fraud ring operations and sophisticated bot attacks to individualized scams. By analyzing user behavior, organizations can effectively detect and mitigate these threats. With behavioral analytics, businesses have a new layer of fraud ring detection that doesn’t exist elsewhere in their fraud stack. At a crowd level, behavioral analytics reveals spikes in risky behavior, including fraud ring testing probes, that may indicate a forthcoming fraud ring attack, but would typically be hidden by sheer volume or disregarded as normal traffic. Behavioral analytics also identifies the high-efficiency techniques that fraud rings use, including copy/paste or “chunking” behaviors, or the use of advanced fraud bots designed to mimic human behavior. Learn more about our behavioral analytics solutions and their fraud ring detection capabilities. Learn more

Fraud never sleeps, and neither do the experts working to stop it. That’s why we’re thrilled to introduce Meet the Maker, our new video series spotlighting the brilliant minds behind Experian’s cutting-edge fraud solutions. In our first episode, Matt Ehrlich, Senior Director of Identity and Fraud Product Management, and Andrea Nighswander, Senior Director of Global Solution Strategy, share how they use data, advanced analytics, and deep industry expertise to stay ahead of fraudsters. With 35+ years of combined experience, these fraud-fighting veterans know exactly what it takes to keep bad actors at bay. Watch now for an exclusive look at the minds shaping the future of fraud prevention.    Stay tuned for more episodes featuring the visionaries driving fraud innovation.

The days of managing credit risk, fraud prevention, and compliance in silos are over. As fraud threats evolve, regulatory scrutiny increases, and economic uncertainty persists, businesses need a more unified risk strategy to stay ahead. Our latest e-book, Navigating the intersection of credit, fraud, and compliance, explores why 94% of forward-looking companies expect credit, fraud, and compliance to converge within the next three years — and what that means for your business.1 Key insights include: The line between fraud and credit risk is blurring. Many organizations classify first-party fraud losses as credit losses, distorting the true risk picture. Fear of fraud is costing businesses growth. 68% of organizations say they’re denying too many good customers due to fraud concerns. A unified approach is the future. Integrating risk decisioning across credit, fraud, and compliance leads to stronger fraud detection, smarter credit risk assessments, and improved compliance. Read the full e-book to explore how an integrated risk approach can protect your business and fuel growth. Download e-book 1Research conducted by InsightAvenue on behalf of Experian

With cybersecurity threats on the rise, organizations are turning to token-based authentication as a secure and efficient solution to safeguard sensitive data and systems. Data breaches impacted 1.1 billion individuals in 2024, a staggering 490% increase from the previous year.1 Token-based authentication is a method of verifying a user's identity through digital tokens rather than traditional means such as passwords. These tokens are temporary and serve as access keys, allowing users to securely interact with systems, applications, and networks. The goal of token authentication is to strengthen security while improving the user experience. Instead of relying solely on static credentials (like passwords), which can be intercepted or stolen, leveraging a type of multi-factor authentication like tokens adds an additional layer of security by functioning as dynamic access credentials. How token-based authentication works Token authentication unfolds through a series of steps to ensure robust security. Here's a simplified breakdown of how it works in practice: User request and authentication: When a user attempts to log in, they provide their credentials (e.g., username and password). These credentials are verified by the authentication server. Token generation: After verifying the user's credentials, the server generates a token — a cryptographically secured string often containing information like the user's ID and permissions. Token sent to the user: The generated token is sent back to the user or their device to confirm authentication. Token usage for access: Now authenticated, the user uses the token to access the system or application. The token is passed along with each request to ensure the user is authorized to proceed. Token validation: Each time a token is presented to the server, its integrity and expiration are verified. If the token is valid, access is granted; if not, the session is terminated. Token expiration and renewal: Tokens are typically temporary and expire after a set period. Users must either re-authenticate or renew the token for continued access. This limits the time window during which a stolen token can be misused. Types of token authentication methods Token authentication comes in different forms to meet various use case requirements. Common types include: JSON Web Tokens (JWT) Lightweight, self-contained, and easily transferred between clients and servers, JWT is one of the most widely used token formats. It includes claims, which are bits of information about a user encoded within the token, such as roles and permissions. Example: A financial application uses JWTs to ensure only registered users can access private account data. OAuth tokens OAuth is an industry-standard authorization protocol that uses tokens to grant limited access to applications without revealing the user's credentials. It’s often used for third-party service integration. Example: When you log into an e-commerce platform using your Google credentials, OAuth tokens authorize access. Session tokens These are temporary tokens stored on the server to track authenticated sessions, commonly used in web applications to ensure secure browsing. Example: Online banking platforms rely on session tokens for secure user sessions. Refresh tokens Refresh tokens are designed to renew access tokens without requiring the user to log in repeatedly. They extend session durations while maintaining a high-security standard. Example: A subscription service app uses refresh tokens to maintain a seamless user experience without frequent logouts. Benefits of token-based authentication Token-based authentication offers several advantages that make it a preferred security measure for organizations of all sizes. Enhanced security: Tokens reduce the risk of breaches as they are temporary and encrypted. They’re also specific to sessions, applications, or devices, meaning unauthorized users cannot reuse stolen tokens effectively. Elimination of password reliance: Tokens reduce dependence on static passwords, which are often reused and susceptible to brute-force attacks. This bolsters an organization’s overall cybersecurity posture. Improved user experience: Token authentication allows for more seamless interactions by minimizing the need for repeated logins. With features like single sign-on (SSO), users enjoy convenient access to multiple platforms with a single token. Scalability: Tokens are flexible and can adapt to varied business use cases, making them ideal for organizations of all scales. For instance, application programming interfaces (APIs) and microservices can communicate securely via token exchanges. Supports compliance: Token-based authentication helps organizations meet regulatory compliance requirements by offering robust access control and audit trails. This is critical for industries like finance, healthcare, and e-commerce. Cost efficiency: While implementing token-based authentication may require an initial investment, it reduces long-term risks and costs associated with data breaches, system downtime, and customer trust. How Experian can help strengthen your authentication process At Experian, we recognize that strong security measures should never compromise the user experience. That's why we offer cutting-edge identity solutions tailored to meet the needs of organizations. Our tools allow you to integrate token-based authentication seamlessly into your systems while ensuring compliance with security best practices and industry regulations. Are you ready to take your business's security and user experience to the next level? Visit us online today. Learn more 12024-2025 Data Breach Response Guide, Experian, 2024. This article includes content created by an AI language model and is intended to provide general information.

As Valentine’s Day approaches, hearts will melt, but some will inevitably be broken by romance scams. This season of love creates an opportune moment for scammers to prey on individuals feeling lonely or seeking connection. Financial institutions should take this time to warn customers about the heightened risks and encourage vigilance against fraud. In a tale as heart-wrenching as it is cautionary, a French woman named Anne was conned out of nearly $855,000 in a romance scam that lasted over a year. Believing she was communicating with Hollywood star Brad Pitt; Anne was manipulated by scammers who leveraged AI technology to impersonate the actor convincingly. Personalized messages, fabricated photos, and elaborate lies about financial needs made the scam seem credible. Anne’s story, though extreme, highlights the alarming prevalence and sophistication of romance scams in today’s digital age. According to the Federal Trade Commission (FTC), nearly 70,000 Americans reported romance scams in 2022, with losses totaling $1.3 billion—an average of $4,400 per victim. These scams, which play on victims’ emotions, are becoming increasingly common and devastating, targeting individuals of all ages and backgrounds. Financial institutions have a crucial role in protecting their customers from these schemes. The lifecycle of a romance scam Romance scams follow a consistent pattern: Feigned connection: Scammers create fake profiles on social media or dating platforms using attractive photos and minimal personal details. Building trust: Through lavish compliments, romantic conversations, and fabricated sob stories, scammers forge emotional bonds with their targets. Initial financial request: Once trust is established, the scammer asks for small financial favors, often citing emergencies. Escalation: Requests grow larger, with claims of dire situations such as medical emergencies or legal troubles. Disappearance: After draining the victim’s funds, the scammer vanishes, leaving emotional and financial devastation in their wake. Lloyds Banking Group reports that men made up 52% of romance scam victims in 2023, though women lost more on average (£9,083 vs. £5,145). Individuals aged 55-64 were the most susceptible, while those aged 65-74 faced the largest losses, averaging £13,123 per person. Techniques scammers use Romance scammers are experts in manipulation. Common tactics include: Fabricated sob stories: Claims of illness, injury, or imprisonment. Investment opportunities: Offers to “teach” victims about investing. Military or overseas scenarios: Excuses for avoiding in-person meetings. Gift and delivery scams: Requests for money to cover fake customs fees. How financial institutions can help Banks and financial institutions are on the frontlines of combating romance scams. By leveraging technology and adopting proactive measures, they can intercept fraud before it causes irreparable harm. 1. Customer education and awareness Conduct awareness campaigns to educate clients about common scam tactics. Provide tips on recognizing fake profiles and unsolicited requests. Share real-life stories, like Anne’s, to highlight the risks. 2. Advanced data capture solutions Implement systems that gather and analyze real-time customer data, such as IP addresses, browsing history, and device usage patterns. Use behavioral analytics to detect anomalies in customer actions, such as hesitation or rushed transactions, which may indicate stress or coercion. 3. AI and machine learning Utilize AI-driven tools to analyze vast datasets and identify suspicious patterns. Deploy daily adaptive models to keep up with emerging fraud trends. 4. Real-time fraud interception Establish rules and alerts to flag unusual transactions. Intervene with personalized messages before transfers occur, asking “Do you know and trust this person?” Block transactions if fraud is suspected, ensuring customers’ funds are secure. Collaborating for greater impact Financial institutions cannot combat romance scams alone. Partnerships with social media platforms, AI companies, and law enforcement are essential. Social media companies must shut down fake profiles proactively, while regulatory frameworks should enable banks to share information about at-risk customers. Conclusion Romance scams exploit the most vulnerable aspects of human nature: the desire for love and connection. Stories like Anne’s underscore the emotional and financial toll these scams take on victims. However, with robust technological solutions and proactive measures, financial institutions can play a pivotal role in protecting their customers. By staying ahead of fraud trends and educating clients, banks can ensure that the pursuit of love remains a source of joy, not heartbreak. Learn more

As data breaches become an ever-growing threat to businesses, the role of employees in maintaining cybersecurity has never been more critical. Did you know that 82% of data breaches involve the human element1 , such as phishing, stolen credentials, or social engineering tactics? These statistics reveal a direct connection between employee identity theft and business vulnerabilities. In this blog, we’ll explore why protecting your employees’ identities is essential to reducing data breach risk, how employee-focused identity protection programs, and specifically employee identity protection, improve both cybersecurity and employee engagement, and how businesses can implement comprehensive solutions to safeguard sensitive data and enhance overall workforce well-being. The Rising Challenge: Data Breaches and Employee Identity Theft The past few years have seen an exponential rise in data breaches. According to the Identity Theft Resource Center, there were 1,571 data compromises in the first half of 2024, impacting more than 1.1 billion individuals – a 490% increase year over year2. A staggering proportion of these breaches originated from compromised employee credentials or phishing attacks. Explore Experian's Employee Benefits Solutions The Link Between Employee Identity Theft and Cybersecurity Risks Phishing and Social EngineeringPhishing attacks remain one of the top strategies used by cybercriminals. These attacks often target employees by exploiting personal information stolen through identity theft. For example, a cybercriminal who gains access to an employee's compromised email or social accounts can use this information to craft realistic phishing messages, tricking them into divulging sensitive company credentials. Compromised Credentials as Entry PointsCompromised employee credentials were responsible for 16% of breaches and were the costliest attack vector, averaging $4.5 million per breach3. When an employee’s identity is stolen, it can give hackers a direct line to your company’s network, jeopardizing sensitive data and infrastructure. The Cost of DowntimeBeyond the financial impact, data breaches disrupt operations, erode customer trust, and harm your brand. For businesses, the average downtime from a breach can last several weeks – time that could otherwise be spent growing revenue and serving clients. Why Businesses Need to Prioritize Employee Identity Protection Protecting employee identities isn’t just a personal benefit – it’s a strategic business decision. Here are three reasons why identity protection for employees is essential to your cybersecurity strategy: 1. Mitigate Human Risk in Cybersecurity Employee mistakes, often resulting from phishing scams or misuse of credentials, are a leading cause of breaches. By equipping employees with identity protection services, businesses can significantly reduce the likelihood of stolen information being exploited by fraudsters and cybercriminals. 2. Boost Employee Engagement and Financial Wellness Providing identity protection as part of an employee benefits package signals that you value your workforce’s security and well-being. Beyond cybersecurity, offering such protections can enhance employee loyalty, reduce stress, and improve productivity. Employers who pair identity protection with financial wellness tools can empower employees to monitor their credit, secure their finances, and protect against fraud, all of which contribute to a more engaged workforce. 3. Enhance Your Brand Reputation A company’s cybersecurity practices are increasingly scrutinized by customers, stakeholders, and regulators. When you demonstrate that you prioritize not just protecting your business, but also safeguarding your employees’ identities, you position your brand as a leader in security and trustworthiness. Practical Strategies to Protect Employee Identities and Reduce Data Breach Risk How can businesses take actionable steps to mitigate risks and protect their employees? Here are some best practices: Offer Comprehensive Identity Protection Solutions A robust identity protection program should include: Real-time monitoring for identity theft Alerts for suspicious activity on personal accounts Data and device protection to protect personal information and devices from identity theft, hacking and other online threats Fraud resolution services for affected employees Credit monitoring and financial wellness tools Leading providers like Experian offer customizable employee benefits packages that provide proactive identity protection, empowering employees to detect and resolve potential risks before they escalate. Invest in Employee Education and Training Cybersecurity is only as strong as your least-informed employee. Provide regular training sessions and provide resources to help employees recognize phishing scams, understand the importance of password hygiene, and learn how to avoid oversharing personal data online. Implement Multi-Factor Authentication (MFA) MFA adds an extra layer of security, requiring employees to verify their identity using multiple credentials before accessing sensitive systems. This can drastically reduce the risk of compromised credentials being misused. Partner with a Trusted Identity Protection Provider Experian’s suite of employee benefits solutions combines identity protection with financial wellness tools, helping your employees stay secure while also boosting their financial confidence. Only Experian can offer these integrated solutions with unparalleled expertise in both identity protection and credit monitoring. Conclusion: Identity Protection is the Cornerstone of Cybersecurity The rising tide of data breaches means that businesses can no longer afford to overlook the role of employee identity in cybersecurity. By prioritizing identity protection for employees, organizations can reduce the risk of costly breaches and also create a safer, more engaged, and financially secure workforce. Ready to protect your employees and your business? Take the next step toward safeguarding your company’s future. Learn more about Experian’s employee benefits solutions to see how identity protection and financial wellness tools can transform your workplace security and employee engagement. Learn more 1 2024 Experian Data Breach Response Guide 2 Identity Theft Resource Center. H1 2024 Data Breach Analysis 3 2023 IBM Cost of a Data Breach Report

Picture this: you’re sipping your morning coffee when an urgent email from your CEO pops up in your inbox, requesting sensitive information. Everything about it seems legit — their name, email address, even their usual tone. But here’s the twist: it’s not actually them. This is the reality of spoofing attacks. And these scenarios aren’t rare. According to the Federal Bureau of Investigation (FBI), spoofing/phishing is the most common type of cybercrime.¹   In these attacks, bad actors disguise their identity to trick individuals or systems into believing the communication is from a trusted source. Whether it’s email spoofing, caller ID spoofing, or Internet Protocol (IP) spoofing, the financial and reputational consequences can be severe. By understanding how these attacks work and implementing strong defenses, organizations can reduce their risk and protect sensitive information. Let’s break down the key strategies for staying one step ahead of cybercriminals. What is a spoofing attack? A spoofing attack occurs when a threat actor impersonates a trusted source to gain access to sensitive information, disrupt operations or manipulate systems. Common types of spoofing attacks include: Email spoofing: Fraudulent emails are carefully crafted to mimic legitimate senders, often including convincing details like company logos, real employee names, and professional formatting. These emails trick recipients into sharing sensitive information, such as login credentials or financial details, or prompt them to download malware disguised as attachments. For example, attackers might impersonate a trusted vendor to redirect payments or a senior executive requesting immediate access to confidential data. Caller ID spoofing: Attackers manipulate phone numbers to impersonate trusted contacts, making calls appear as if they are coming from legitimate organizations or individuals. This tactic is often used to extract sensitive information, such as account credentials, or to trick victims into making payments. For instance, a scammer might pose as a bank representative calling to warn of suspicious activity on an account, coercing the recipient into sharing private information or transferring funds. IP spoofing: IP addresses are falsified to disguise the origin of malicious traffic to bypass security measures and mask malicious activity. Cybercriminals use this method to redirect traffic, conduct man-in-the-middle attacks, where a malicious actor intercepts and possibly alters the communication between two parties without their knowledge, or overwhelm systems with distributed denial-of-service (DDoS) attacks. For example, attackers might alter the source IP address of a data packet to appear as though it is coming from a trusted source, making it easier to infiltrate networks and compromise sensitive data. These tactics are often used in conjunction with other cyber threats, such as phishing or bot fraud, making detection and prevention more challenging. How behavioral analytics can combat spoofing attacks Traditional fraud prevention methods provide a strong foundation but behavioral analytics adds a powerful layer to fraud stacks. By examining user behavior patterns, behavioral analytics enhances existing tools to: Detect anomalies that signal a spoofing attack. Identify bot fraud attempts, where automated scripts mimic legitimate users. Enhance fraud prevention solutions with friction-free, real-time insights. Behavioral analytics is particularly effective when paired with device and network intelligence and machine learning (ML) solutions. These advanced tools can continuously adapt to new fraud tactics, ensuring robust protection against evolving threats. The role of artificial intelligence (AI) and ML in spoofing attack prevention AI fraud detection is revolutionizing how organizations protect themselves from spoofing attacks. By leveraging AI analytics and machine learning solutions, organizations can: Analyze vast amounts of data to identify spoofing patterns. Automate threat detection and response. Strengthen overall fraud prevention strategies. These technologies are essential for staying ahead of cybercriminals, particularly as they increasingly use AI to perpetrate attacks.   Best practices for preventing spoofing attacks Organizations can take proactive steps to minimize the risk of spoofing attacks. Key strategies include: Implementing robust authentication protocols: Use multifactor authentication (MFA) to verify the identity of users and systems. Monitoring network traffic: Deploy tools that can analyze traffic for signs of IP spoofing or other anomalies. Leveraging behavioral analytics: Adopt advanced fraud prevention solutions that include behavioral analytics to detect and mitigate threats. Educating employees: Provide training on recognizing phishing attempts and other spoofing tactics. Partnering with fraud prevention experts: Collaborate with trusted providers like Experian to access cutting-edge solutions tailored to your needs. Why proactive prevention matters The financial and reputational damage caused by spoofing attacks can be devastating. Organizations that fail to implement effective prevention measures risk: Losing customer trust. Facing regulatory penalties. Incurring significant financial losses. Businesses can stay ahead of cyber threats by prioritizing spoofing attack prevention and leveraging advanced technologies such as behavioral analytics, AI fraud detection, and machine learning, Investing in fraud prevention solutions today is essential for protecting your organization’s future. How we help organizations detect spoofing attacks Spoofing attacks are an ever-present danger in the digital age. With tactics like IP spoofing and bot fraud becoming more sophisticated, businesses must adopt advanced strategies to safeguard their operations. Our comprehensive suite of fraud prevention solutions can help businesses tackle spoofing attacks and other cyber threats. Our advanced technologies like behavioral analytics, AI fraud detection and machine learning solutions, enable organizations to: Identify and respond to spoofing attempts in real-time. Detect anomalies and patterns indicative of fraudulent behavior. Strengthen defenses against bot fraud and IP spoofing. Ensure compliance with industry regulations and standards. Click ‘learn more’ below to explore how we can help protect your organization. Learn more 1 https://www.ic3.gov/AnnualReport/Reports/2023_IC3Report.pdf This article includes content created by an AI language model and is intended to provide general information. 

Financial identity theft is one of the biggest threats to a consumer’s financial wellness in today’s digital age.1 It occurs when someone steals their personal and financial information, such as their name, address, Social Security Number (SSN), credit card, or bank account numbers, and uses it to make unauthorized purchases or access their financial accounts without their permission. This can severely damage their credit score and financial standing, often taking significant time and effort to resolve. Financial identity theft can also harm organizations, taking a toll on bottom lines due to lost employee productivity and more severe consequences if the stolen identity exposes the organization to a data breach.   How financial identity theft happens  Financial identity theft can occur through various methods, including:  Skimming: Thieves use skimming devices at ATM machines or gas pumps to steal credit or debit card information. These devices can be hard to detect, making it easy for thieves to capture card details without the owner's knowledge.  Phishing: Scammers send emails or text messages that appear to be from a bank or other financial institution, asking for personal information. These messages often look legitimate, tricking consumers into providing sensitive data.  Social engineering: Thieves impersonate someone in authority to trick consumers into giving them their personal or financial information. This can happen over the phone, in person, or through digital communication.  Data breaches: Hackers gain access to large databases of personal and financial information through breaches at companies or organizations. This stolen data can then be sold or used to commit identity theft.  Stealing mail: Thieves steal mail from mailboxes or trash cans to obtain personal financial information. This can include bank statements, credit card offers, and other documents containing sensitive data.  Account takeover: Thieves use stolen personal information to access existing financial accounts. They can change account details, make unauthorized transactions, and even open new accounts, causing significant financial damage.  Protecting consumers from financial identity theft  Organizations play a crucial role in protecting their consumers from financial identity theft. A few strategies that organizations and financial institutions can implement to protect their customers include:  Implement strong authentication methods: Use multi-factor authentication (MFA) to add an extra layer of security. This requires users to provide two or more verification factors to gain access to their accounts, significantly reducing the risk of unauthorized access.  Educate consumers: Offer services to educate consumers about the risks of identity theft and provide tips on protecting their personal information. This includes advising them to use strong, unique passwords and to be cautious of phishing scams.   Monitor for suspicious activity: Use advanced monitoring systems to detect unusual activity in consumer accounts. This can help identify potential fraud early, ensuring that any threats are addressed before they cause significant harm.  Provide identity theft protection services: Offer services that monitor consumers' credit reports and alert them to suspicious activity. These services provide continuous oversight, helping consumers stay informed and protected against potential identity theft.  Why prioritizing financial wellness matters  Investing in your customers' financial wellness not only benefits them but also brings significant advantages to your organization. Some key benefits of helping your customers improve their financial wellness include:  Increased customer loyalty: Investing in your customers' financial wellness builds trust and strengthens your relationship, leading to higher customer retention and loyalty.  Reduced customer delinquency: Educating your customers on financial management can lead to fewer missed payments and defaults, reducing your risk and improving overall financial stability.  Higher customer engagement: Providing financial wellness resources and tools encourages your customers to engage more frequently with your organization, fostering a deeper connection.  Competitive advantage: Offering financial wellness programs can differentiate you from your competitors, making you more attractive to potential customers who value financial education and support.  Positive social impact: By helping your customers improve their financial health, you contribute to the overall economic well-being of the community, creating a positive social impact.  Reduced risk of data breach: Compromised employee credentials are one of the most common gateways for data breaches. By educating consumers on protecting their financial well-being, you also protect your organization from data breach threats.   Experian Partner Solutions: Protecting your customers   We offer a range of tools to help you support your customers on their financial wellness journey and defend against bad actors. With our partnership, you can offer your customers access to:  Credit and identity monitoring and alerts: Keep consumers engaged with reliable credit tools that monitor their credit reports and personal information to alert them of potential threats, such as dark web exposure or suspicious activity. Our advanced monitoring systems provide real-time alerts, helping your consumers take immediate action to protect their financial health.  Identity restoration: Provide peace of mind by helping your consumers reclaim their identity if they fall victim to identity theft. Our dedicated identity restoration specialists guide consumers through recovery, ensuring they regain control of their financial identity quickly and efficiently.  Data breach resolution: Manage consumer data breach and crisis incidents confidently, helping to mitigate the impact on affected individuals. We offer comprehensive breach response services, including notification, monitoring, and support, to help organizations handle breaches effectively and maintain consumer trust.  Credit education: Empower consumers with the knowledge and tools to understand and improve their credit health, building customer loyalty and supporting their journey towards better financial wellness. Our educational resources and personalized advice enable consumers to make informed financial decisions and achieve their financial goals.  Protecting against financial identity theft requires a collaborative effort between consumers and organizations. By partnering with us, you can offer comprehensive financial and identity protection solutions that engage, educate, and empower your customers to better manage their financial lives. This not only helps protect your customers, but also builds trust and loyalty, positioning your organization as a trusted advocate in financial wellness and identity protection.  Learn more View infographic 1Identity Theft Resource Center, Consumer Aftermath Report.  This article includes content created by an AI language model and is intended to provide general information. 

With the rise of digital interactions, identity fraud has become an unassuming threat that impacts individuals, businesses, and institutions worldwide. According to the Federal Trade Commission (FTC), 5.4 million consumer reports regarding fraud and consumer protection were filed in 2023. Identity fraud, which is characterized as when an individual's personal information is stolen and used without their consent for fraudulent purposes, has devastating consequences for consumers, including financial losses, damaged credit scores, legal issues, and emotional distress. Financial institutions face damaging consequences beyond financial losses, including reputational damage, operational disruption, and regulatory scrutiny. As technology advances, so do fraudsters' tactics, making it increasingly challenging to detect and prevent identity-related crimes. So, what are financial institutions to do? Industry-leading institutions apply a layered approach to solving fraud that starts with a fraud risk assessment. What is a fraud risk assessment? When opening a new account, banks typically conduct a fraud risk assessment to verify the identity of the individual or entity applying for the account and to assess the likelihood of fraudulent activity. Banks also assess the applicant's credit history, financial background, and transaction patterns to identify red flags or suspicious activity. Advanced fraud detection tools and technologies are employed to monitor account opening activities in real-time and detect signs of fraudulent behavior. This assessment is crucial for ensuring compliance with regulatory requirements, mitigating the risk of financial loss, and safeguarding against identity theft. Understanding the importance of fraud risk assessments A fraud risk assessment is crucial for banks during account opening as it helps verify the identity of applicants and mitigate the risk of fraudulent activity. By assessing the likelihood and potential impact of identity fraud, banks can implement measures to protect customers' assets and protect against losses in their portfolio. Additionally, conducting thorough risk assessments enables banks to comply with regulatory requirements, which mandate the verification of customer identities to prevent money laundering and terrorist financing. By adhering to these regulations and implementing effective fraud detection measures, banks can enhance trust and confidence among customers, regulators, and stakeholders, reinforcing the integrity and stability of the financial system. 10 tools to consider when building an effective fraud risk assessment Several key factors should be carefully considered in an identity fraud risk assessment to ensure thorough evaluation and effective mitigation of identity fraud risks. Financial institutions should consider emerging threats and trends such as synthetic identity fraud, account takeover attacks, and social engineering scams when conducting a risk assessment. By staying abreast of evolving tactics used by fraudsters, organizations can proactively adapt their fraud prevention strategies and controls. Here are 10 tools that can help catch red flags for fraud prevention: Identity verification: Identity verification is the first line of defense against identity theft, account takeover, and other fraudulent activities. By verifying the identities of individuals before granting access to services or accounts, organizations can ensure that only legitimate users are granted access. Effective identity verification methods, such as biometric authentication, document verification, and knowledge-based authentication, help mitigate the risk of unauthorized access and fraudulent transactions. Implementing robust identity verification measures protects organizations from financial losses and reputational damage and enhances trust and confidence among customers and stakeholders. Device intelligence: Device intelligence provides insights into the devices used in online transactions, enabling organizations to identify and mitigate fraudulent activities. Organizations can detect suspicious behavior indicative of fraudulent activity by analyzing device-related data such as IP addresses, geolocation, device fingerprints, and behavioral patterns. Device intelligence allows organizations to differentiate between legitimate users and fraudsters, enabling them to implement appropriate security measures, such as device authentication or transaction monitoring. Phone data: Phone and Mobile Network Operator (MNO) data offers valuable insights into the mobile devices and phone numbers used in transactions. By analyzing MNO data such as subscriber information, call records, and location data, organizations can verify the authenticity of users and detect suspicious activities. MNO data enables organizations to confirm the legitimacy of phone numbers, detect SIM swapping or account takeover attempts, and identify fraudulent transactions. Leveraging MNO data allows organizations to strengthen their fraud prevention measures, enhance customer authentication processes, and effectively mitigate the risk of fraudulent activities in an increasingly mobile-driven environment. Email attributes: Email addresses serve as a primary identifier and communication channel for users in digital transactions. Organizations can authenticate user identities, confirm account ownership, and detect suspicious activities such as phishing attempts or identity theft by verifying email addresses. Analyzing email addresses enables organizations to identify patterns of fraudulent behavior, block unauthorized access attempts, and enhance security measures. Furthermore, email address validation helps prevent fraudulent transactions, safeguard sensitive information, and protect against financial losses and reputational damage. Leveraging email addresses as part of fraud prevention strategies enhances trustworthiness in digital interactions. Address verification: Address verification provides essential information for authenticating user identities and detecting suspicious activities. By verifying addresses, organizations can confirm the legitimacy of user accounts, prevent identity theft, and detect fraudulent transactions. Address validation enables organizations to ensure that the provided address matches the user's identity and reduces the risk of fraudulent activities such as account takeover or shipping fraud. Behavioral analytics: Behavioral analytics enables organizations to detect anomalies and patterns indicative of fraudulent activity. By analyzing user behavior, such as transaction history, navigation patterns, and interaction frequency, organizations can identify deviations from normal behavior and flag suspicious activities for further investigation. Behavioral analytics allows organizations to create profiles of typical user behavior and detect deviations that may signal fraud, such as unusual login times or transaction amounts. Consortia: Consortia facilitate collaboration and information sharing among organizations to combat fraudulent activities collectively. By joining forces through consortia, organizations can leverage shared data, insights, and resources to more effectively identify emerging fraud trends, patterns, and threats. Consortia enables participating organizations to benefit from a broader and more comprehensive view of fraudulent activities, enhancing their ability to detect and prevent fraud. Risk engines: Risk engines enable real-time analysis of transaction data and user behavior to detect and mitigate fraudulent activities. By leveraging advanced algorithms and machine learning techniques, risk engines assess the risk associated with each transaction and user interaction, flagging suspicious activities for further investigation or intervention. Risk engines help organizations identify anomalies, patterns, and trends indicative of fraudulent behavior, allowing for timely detection and prevention of fraud. Additionally, risk engines can adapt and evolve over time to stay ahead of emerging threats, enhancing their effectiveness in mitigating fraud. Orchestration streamlines and coordinates the various components of a fraud detection and prevention strategy. By orchestrating different fraud prevention tools, technologies, and processes, organizations can optimize their efforts to combat fraud effectively. Orchestration allows for seamless integration and automation of workflows, enabling real-time data analysis and rapid response to emerging threats. Step-up authentication: Step-up authentication provides an additional layer of security to verify users' identities during high-risk transactions or suspicious activities. By requiring users to provide additional credentials or undergo further authentication steps, such as biometric verification or one-time passcodes, organizations can mitigate the risk of unauthorized access and fraudulent transactions. Step-up authentication allows organizations to dynamically adjust security measures based on the perceived risk level, ensuring that stronger authentication methods are employed when necessary. By layering these tools effectively businesses remove gaps that fraudsters would typically exploit. Learn more

As we step into 2025, the convergence of credit and fraud risk has become more pronounced than ever. With fraudsters leveraging emerging technologies and adapting rapidly to new defenses, risk managers need to adopt forward-thinking strategies to protect their organizations and customers. Here are the top fraud trends and actionable resolutions to help you stay ahead of the curve this year. 1. Combat synthetic identity fraud with advanced AI models The trend: Synthetic identity fraud is surging, fueled by data breaches and advanced AI tooling. Fraudsters are combining genuine credentials with fabricated details, creating identities that evade traditional detection methods. Resolution: Invest in sophisticated identity validation tools that leverage advanced AI models. These tools can differentiate between legitimate and fraudulent identities, ensuring faster and more accurate creditworthiness assessments. Focus on integrating these solutions seamlessly into your customer onboarding process to enhance both security and user experience. 2. Strengthen authentication against deepfakes The trend: Deepfake technology is putting immense pressure on existing authentication systems, particularly in high-value transactions and account takeovers. Resolution: Adopt a multilayered authentication strategy that combines voice and facial biometrics with ongoing transaction monitoring. Dynamic authentication methods that evolve based on user behavior and fraud patterns can effectively counter these advanced threats. Invest in solutions that ensure digital interactions remain secure without compromising convenience. 3. Enhance detection of payment scams and APP fraud The trend: Authorized Push Payment (APP) fraud and scams are increasingly difficult to detect because they exploit legitimate customer behaviors. Resolution: Collaborate with industry peers and explore centralized consortia to share insights and develop robust detection strategies. Focus on monitoring both inbound and outbound transactions to identify anomalies, particularly payments to mule accounts. 4. Optimize Your Fraud Stack for Efficiency and Effectiveness The trend: Outdated device and network solutions are no match for GenAI-enhanced fraud tactics. Resolution: Deploy a layered fraud stack with persistent device ID technology, behavioral analytics, and GenAI-driven anomaly detection. Begin with frictionless first-tier tools to filter out low-hanging fraud vectors, reserving more advanced and costly tools for sophisticated threats. Regularly review and refine your stack to ensure it adapts to evolving fraud patterns. 5. Build collaborative relationships with fraud solution vendors The trend: Vendors offer unparalleled industry insights and long-tail data to help organizations prepare for emerging fraud trends. Resolution: Engage in reciprocal knowledge-sharing with your vendors. Leverage advisory boards and industry insights to stay informed about the latest attack vectors. Choose vendors who provide transparency and are invested in your fraud mitigation goals, turning product relationships into strategic partnerships. Turning resolutions into reality Fraudsters are becoming more ingenious, leveraging GenAI and other technologies to exploit vulnerabilities. To stay ahead of fraud in 2025, let us make fraud prevention not just a resolution but a commitment to safeguarding trust and security in a rapidly evolving landscape. Learn more

Four capabilities to consider for improved coverage and customer experience. Identity verification during account opening is the foundation for building trust between consumers and businesses. Consumers expect a seamless and convenient experience, and with the ease and optionality of online banking, are willing to look for alternatives that offer less friction. According to Experian research, 92% of consumers feel it's important for the businesses they deal with online to identify or recognize them on a repeated basis accurately, but only 16% have high confidence that this is happening. The disconnect between consumers’ expectations for online identity verification and the digital experiences they encounter is leading to reduced satisfaction and increased abandonment during new account opening processes. According to recent research by Experian, 38% of consumers surveyed considered ending a new account opening mid-way through the process due to poor experience. In addition, the same research found that nearly one-fifth of consumers had moved their business elsewhere because of this. Amidst the quest for convenience lies a pressing concern: ensuring the integrity of accounts being opened and protecting against fraud. Businesses continue to experience increasing fraud losses, Juniper Research forecasts that merchant losses from online payment fraud will exceed $362 billion globally between 2023 and 2028, with losses of $91 billion alone in 2028. Identity verification serves as the first line of defense in protecting both financial institutions and consumers. By verifying the identities of individuals before granting them access to services, businesses can mitigate the risk of identity theft, account takeover, and other forms of fraud. Four capabilities to consider when building out an identity verification strategy Personally Identifiable Information (PII) dataComparing consumer input data to a comprehensive data set helps effectively validate the consumer without disrupting customer experience. Details like name, address, date of birth, and social security number provide valuable identity information to verify identities quickly and accurately. Identity graphUsing an identity graph leveraging advanced analytics and data linking techniques helps prevent synthetic IDs from getting through. By mapping relationships between identity attributes, you can easily identify patterns and connections within the data and detect anomalies or inaccuracies in the information provided. Alternative data“Thin file” consumers are often rejected due to a lack of traditional data. Using alternative data like phone ownership and email data helps not only verify that the identity is real but also improves coverage, so you are not rejecting good customers. Document verificationHaving a document verification provider that seamlessly integrates into your identity verification workflow is essential for robust identity verification. Validating good users early in the account opening process helps keep fraudsters out so good users are not subject to stringent identity checks later on during onboarding. Next steps A strong identity verification process builds trust by demonstrating a commitment to protecting and safeguarding consumer data. A proper identity verification workflow would minimize the impact of friction for consumers and help organizations manage fraud and regulatory compliance by examining specific business needs on a case-by-case basis. Identifying the right mix of capabilities through analytics and feedback while utilizing the best data reduces the cost of manual verification and helps onboard good customers faster. Learn more Research conducted in March 2024 by Experian in North America

In today’s digital landscape, where data breaches and cyberattacks are rampant, businesses face increasing security challenges. One of the most prevalent threats is credential stuffing—a cyberattack in which malicious actors use stolen username and password combinations to gain unauthorized access to user accounts. As more personal and financial data gets leaked or sold on the dark web, these attacks become more sophisticated, and the consequences for businesses and consumers alike can be devastating.But there are ways to proactively fight credential stuffing attacks and protect your organization and customers. Solutions like our identity protection services and behavioral analytics capabilities powered by NeuroID, a part of Experian, are helping businesses prevent fraud and ensure a safer user experience. What is credential stuffing? Credential stuffing is based on the simple premise that many people reuse the same login credentials across multiple sites and platforms. Once cybercriminals can access a data breach, they can try these stolen usernames and passwords across many other sites, hoping that users have reused the same credentials elsewhere. This form of attack is highly automated, leveraging botnets to test vast numbers of combinations in a short amount of time. If an attacker succeeds, they can steal sensitive information, access financial accounts, or carry out fraudulent activities. While these attacks are not new, they have become more effective with the proliferation of stolen data from breaches and the increased use of automated tools. Traditional security methods—such as requiring complex passwords or multi-factor authentication (MFA)—are useful but not enough to prevent credential stuffing fully. How we can help protect against credential stuffing We offer comprehensive fraud prevention tools and multi-factor authentication solutions to help you identify and mitigate credential stuffing threats. We use advanced identity verification and fraud detection technology to help businesses assess and authenticate user identities in real-time. Our platform integrates with existing authentication and risk management solutions to provide layered protection against credential stuffing, phishing attacks, and other forms of identity-based fraud. Another key element in our offering is behavioral analytics, which goes beyond traditional methods of fraud detection by focusing on users' data entry patterns and interactions. NeuroID and Experian partner to combat credential stuffing We recently acquired NeuroID, a company specializing in behavioral analytics for fraud detection, to take the Experian digital identity and fraud platform to the next level.  Advanced behavioral analytics is a game-changer for preventing credential-stuffing attacks. While biometrics track characteristics, behavioral analytics track distinct actions. For example, with behavioral analytics, every time a person inputs information, clicks in a box, edits a field, and even hovers over something before clicking on it or adding the information to it, those actions are tracked. However, unlike biometrics, this data isn’t used to connect to a single identity. Instead, it’s information businesses can use to learn more about the experience and the intentions of someone on the site. NeuroID and Experian’s paired fraud detection capabilities offer several distinct advantages in preventing credential stuffing attacks: Real-time threat detection: Analyze thousands of behavioral signals in real-time to detect user behavior that suggests bots, fraud rings, credential stuffing attempts, or any number of other cybercriminal attack strategies.  Fraud risk scoring: Based on behavioral patterns, assign a fraud risk score to each user session. High-risk sessions can trigger additional authentication steps, such as CAPTCHA or step-up authentication, helping to stop credential stuffing before it occurs. Invisible to the user: Unlike traditional authentication methods, behavioral analytics work seamlessly in the background. Users do not need to take extra steps—such as answering additional security questions or entering one-time passwords. Adaptive and self-learning: As users interact with your website or app, our system continuously adapts to their unique behavior patterns. Over time, the system becomes even more effective at distinguishing between legitimate and malicious users without collecting any personally identifiable information (PII). Why behavioral data is critical in combating credential stuffing Credential stuffing attacks rely on the ability to mimic legitimate login attempts using stolen credentials. Behavioral analytics, however, can spot the subtle differences between human and bot behavior, even if the attacker has the correct credentials. By integrating behavioral analytics, you can: Prevent automated attacks: Bots often interact with websites in unnatural ways—speeding through form fields, using erratic mouse movements, or attempting logins from unusual or spoofed geographic locations. Behavioral analytics can flag these behaviors before an account is compromised. Detect account takeovers early: If a legitimate user’s account is taken over, behavioral analytics can detect the change in interactions. By monitoring behavior, businesses can detect account takeover attempts much earlier than traditional methods. Lower false positive rates: Traditional fraud prevention tools often rely on rigid rule-based systems that can block legitimate users, especially if their login patterns slightly differ from the norm. On the other hand, behavioral analytics analyzes a user's real-time behavioral data without relying on traditional static data such as passwords or personal information. This minimizes unnecessary flags on legitimate customers (while still detecting suspicious activity). Improve customer experience: Since behavioral analytics is invisible to users and requires no extra friction (like answering security questions), the login and transaction verification process is much smoother. Customers are not inconvenienced, and businesses can reduce the risk of fraud without annoying their users. The future of credential stuffing prevention Credential stuffing is a growing threat in today’s interconnected world, but with the right solutions, businesses can significantly reduce the risk of these attacks. By integrating our fraud prevention technologies and behavioral analytics capabilities, you can stay ahead of the curve in securing user identities and preventing unauthorized access. The key benefits of combining traditional identity verification methods with behavioral analytics are higher detection rates, reduced friction for legitimate users, and an enhanced user experience overall. In an era of increasingly sophisticated cybercrime, using data-driven behavioral insights to detect user riskiness is no longer just a luxury—it’s a necessity. Learn more Watch webinar

The credit card market is rapidly evolving, driven by technological advancements, economic volatility, and changing consumer behaviors. Our new 2025 State of Credit Card Report provides an in-depth analysis of the credit card landscape and strategy considerations for financial institutions. Findings include: Credit card debt reached an all-time high of $1.17 trillion in Q3 2024. About 19 million U.S. households were considered underbanked in 2023. Bot-led fraud attacks doubled from January to June 2024. Read the full report for critical insights and strategies to navigate a shifting market. Access report