Fraud & Identity Management

Have you heard about the mischievous ghosts haunting our educational institutions? No, I am not talking about Casper's misfit pals. These are the infamous ghost students! They are not here for a spooky study session, oh no! They are cunning fraudsters lurking in the shadows, pretending to be students who never attend classes. It is taking ghosting to a whole new level. Understanding ghost student fraud Ghost student fraud is a serious and alarming issue in the educational sector. The rise of online classes due to the pandemic has made it easier for fraudsters to exploit application systems and steal government aid meant for genuine students. Community colleges have become primary targets due to slower adoption of cybersecurity defenses. It is concerning to hear that a considerable number of applications, such as in California (where Social Security numbers are not required at enrollment), are fictitious, with potential losses in financial aid meant for students in need. The use of stolen or synthetic identities in creating bot-powered applications further exacerbates the problem. The consequences of enrollment fraud can have a profound impact on institutions and students. The recent indictment of individuals involved in enrollment fraud, where identities were stolen to receive federal student loans, highlights the severity of the issue. Unfortunately, the lack of awareness and inadequate identity document verification processes in many institutions make it difficult to fully grasp the extent of the problem. What is a ghost student? Scammers use different methods to commit ghost student loan fraud, including creating fake schools or enrolling in real colleges. Some fraudsters use deceitful tactics to obtain the real identities of students, and then they use it to fabricate loan applications. Types of ghost loan fraud, include: Fake loan offers: Fraudsters contact students via various channels, claiming to offer exclusive student loan opportunities with attractive terms and low interest rates. They often request personal and financial information including their SSN and bank account information and use it to create ghost loans. Identity theft: Threat actors will steal personal info through data breaches or phishing. They will then forge loan applications using the victim’s identity. Targeting vulnerable individuals: Ghost student loan fraud tends to prey on those already burdened by debt. Scammers may target borrowers with poor credit history, promising loan forgiveness or debt consolidation plans in exchange for a fee. Once the victim pays, the fraudsters disappear. Ultimately, addressing ghost student fraud requires a multi-faceted approach involving collaboration between educational institutions, government agencies, and law enforcement to safeguard the accessibility and integrity of education for all deserving students. Safeguarding the financial integrity of educational institutions One powerful weapon in the battle against ghost student fraudsters is the implementation of robust identity verification solutions. Financial institutions, online marketplaces, and government entities have long employed such tools to verify the authenticity of individuals, and their application in the educational domain can be highly effective. By leveraging these tools, institutions can swiftly and securely carry out synthetic fraud detection and confirm the identity of applicants by cross-referencing multiple credible sources of information. For instance, government-issued IDs can be verified against real-time selfies, email addresses can be screened against reliable databases, and personally identifiable information (PII) can be compared to third-party dark web data to detect compromised identities. Clinching evidence from various sources renders it nearly impossible for fraudsters to slip past the watchful eyes of enrollment officers. Moreover, implementation of identity verification measures can be facilitated through low-code implementation, ensuring seamless integration into existing enrollment workflows without requiring extensive technical expertise or incurring exorbitant development costs. To further fortify security measures, educational institutions may consider incorporating biometric enrollment and authentication solutions. By requiring face or voice biometrics for accessing school resources, institutions can create an additional layer of protection against fraudsters and their ethereal counterparts. The reluctance of fraudsters to enroll their own biometric data serves as a powerful deterrent against their intrusive activities. Taking action By adopting these robust measures, higher educational institutions can fortify their defenses against ghost student fraud and maintain the integrity of their finances. The use of online identity verification methods and biometric authentication systems not only strengthens the enrollment process but serves as a stringent reminder that there is no resting place for fraudsters within the hallowed halls of education. To learn more about how Experian can help you leverage fraud prevention solutions, visit us online or request a call. *The SSN Verification tool, better known as eCBSV is also a tool that can be utilized to verify SSN.  *This article leverages/includes content created by an AI language model and is intended to provide general information.

Debt collectors need to find, contact and work with people to collect on unpaid accounts. That can be challenging enough. But when synthetic identity fraud accounts are mixed into your collection portfolio, you'll waste resources trying to collect from people who don't even exist. What is synthetic identity fraud? Synthetic identity fraud happens when fraudsters mix real and fake identity information — such as a stolen Social Security number (SSN) with a fake name and date of birth — to create an identity. Fraudsters occasionally try to quickly create and use synthetic IDs to commit fraud. But these are often more complex operations, and the fraudsters spend months or years building synthetic IDs. They might then use or sell an identity once it has a thick credit file, matching identification documents and a robust social media presence. The resulting fraud can have a significant impact on lenders. By some estimates, annual synthetic fraud losses for consumer loans and credit cards could be as high as $11 billion.1 Total annual losses are likely even higher because organizations may misclassify synthetic fraud losses — or not classify them at all — and fraudsters also target other types of organizations, such as business lenders and medical care providers Recognizing synthetic identities and fraud losses Organizations can ideally detect and stop synthetic IDs at account opening. If a fraudster slips past the first line of defense, fraud detection tools that aren't tailored for synthetic identity fraud might not flag the account as suspicious. This is especially true when fraudsters make several on-time payments, mirroring a legitimate account holder's behavior, before stopping payments or busting out. Sometimes, these past-due accounts get sent to collections before being written off as a credit loss. That creates new issues. Debt management and collections systems can help collections departments prioritize outreach and minimize charge-offs. But if you add fraudulent accounts to the mix, you wind up throwing away your time and resources. Even when you properly classify these written-off accounts as fraud losses, it can be hard to distinguish between first-party fraud by a legitimate consumer and synthetic identity fraud losses. However, the distinction can be important for optimizing your credit risk strategy. Detection is the key to prevention Keeping synthetic fraud out of collection portfolios requires a multi-layered approach to fraud management. You need systems to help stop synthetic fraud at the front door and ongoing account monitoring throughout the customer lifecycle. You also want fraud solutions that use data from multiple sources to recognize synthetic identities, such as credit bureau, public records, consortium and behavioral data. Experian's industry-leading fraud and identity solutions Experian's synthetic identity fraud and identity resolution solutions make it a leader in the space. These include: Sure Profile™uses credit, public record and identity-specific data to create a composite history of a consumer's identity and generate a risk score. You can automate risk-based decisions based on the score, and you'll have access to the underlying Sure Profile attributes. CrossCore® is a cloud-based identity and fraud management platform that you can connect to Experian, third-party and internal tools to get a 360-degree view of your accounts throughout the customer lifecycle. Experian partners with the Social Security Administration to offer an electronic Consent Based Social Security Number Verification (eCBSV) service, which can help you determine if an SSN, name and date of birth match. It can be an important part of a step-up verification when risk signals indicate that an identity might not be legitimate. View our tip sheet to learn more about keeping fraudulent accounts out of your collection portfolio. Download now 1Experian (2022). Preventing synthetic identity fraud

In financial crime, fraudsters are always looking for new avenues to exploit. The mortgage industry has traditionally been a primary target for fraudsters. But with the 30-year fixed-mortgage rate average above 7.19% for the month of September, it has caused an inherent slowdown in the volume of home purchases. As a result, criminals are turning to other lucrative opportunities in mortgage transactions. They have evolved their techniques to capitalize on unsuspecting homeowners and lenders by shifting their focus from home purchases to Home Equity Line of Credit (HELOC), as they see it as a more compelling option.  Understanding mortgage fraud  Mortgage fraud occurs when individuals or groups intentionally misrepresent information during the mortgage application process for personal gain. The most common forms of mortgage fraud include income misrepresentation, false identity, property flipping schemes, and inflated property appraisals. Over the years, financial institutions and regulatory bodies have implemented robust measures to combat such fraudulent activities.  As the mortgage industry adapts to counter established forms of fraud, perpetrators are constantly seeking new opportunities to circumvent detection. This has led to a shift in fraud trends, with fraudsters turning their focus to alternative aspects of the mortgage market. One area that has captured recent attention is HELOC fraud, also known as home equity loan fraud.  HELOC fraud: An attractive target for fraudsters  What is a HELOC?  HELOCs are financial products that allow homeowners to borrow against the equity in their homes, often providing flexible access to funds. While HELOCs can be a valuable financial tool for homeowners, they also present an attractive opportunity for fraudsters due to their unique characteristics.  HELOC fraud schemes  An example of a home equity loan fraud scheme is a fraudster misrepresenting himself to deceive a credit union call center employee into changing a member’s address and phone number. Three days later, the fraudster calls back to reset the member’s online banking password, allowing the fraudster to login to the member’s account. Once logged in, the fraudster orders share drafts to be delivered to the new address they now control. The fraudster then forges three share drafts totaling $309,000 and funds them through unauthorized advances against the member’s HELOC through online banking platforms.   Why HELOCs are becoming the next target for mortgage fraud  Rising popularity: HELOCs have gained significant popularity in recent years, enticing fraudsters seeking out opportunities with larger potential payouts.  Vulnerabilities in verification: The verification process for HELOCs might be less rigorous than traditional mortgages. Fraudsters could exploit these vulnerabilities to manipulate property valuations, income statements, or other critical information.  Lack of awareness: Unlike conventional mortgages, there may be a lack of awareness among homeowners and lenders regarding the specific risks associated with HELOCs. This knowledge gap can make it easier for fraudsters to perpetrate their schemes undetected.  Home equity loans do not have the same arduous process that traditional first mortgages do. These loans do not require title insurance, have less arduous underwriting processes, and do not always require the applicant to be physically present at a closing table to gain access to cash. The result is that those looking to defraud banks can apply for multiple HELOC loans simultaneously while escaping detection.  Prevention and safeguards  There are several preventive measures and fraud prevention solutions that can be established to help mitigate the risks associated with HELOCs. These include:  Education and awareness: Homeowners and lenders must stay informed about the evolving landscape of mortgage fraud, including the specific risks posed by HELOCs. Awareness campaigns and educational materials can play a significant role in spreading knowledge and promoting caution.   Enhanced verification protocols: Lenders should implement advanced verification processes and leverage data analytics and modeling thorough property appraisals, income verification, and rigorous background checks. Proper due diligence can significantly reduce the chances of falling victim to HELOC-related fraud.  Collaboration and information sharing: Collaboration between financial institutions, regulators, and law enforcement agencies is essential to combat mortgage fraud effectively. Sharing information, best practices, and intelligence can help identify emerging fraud trends and deploy appropriate countermeasures.  Acting with the right solution  Mortgage fraud is a constant threat that demands ongoing vigilance and adaptability. As fraudsters evolve their tactics, the mortgage industry must stay one step ahead to safeguard homeowners and lenders alike. With concerns over HELOC-related fraud rising, it is vital to raise awareness, strengthen preventive measures, and foster collaboration to protect the integrity of the mortgage market. By staying informed and implementing robust safeguards, we can collectively combat and prevent mortgage fraud from disrupting the financial security of individuals and the industry.  Experian mortgage is powering advanced capabilities across the mortgage lifecycle by gaining market intelligence, enhancing customer experience to remove friction and tapping into industry leading data sources to gain a complete view of borrower behavior.   To learn more about our HELOC fraud prevention solutions, visit us online or request a call.  *This article leverages/includes content created by an AI language model and is intended to provide general information.

In today's fast-paced financial landscape, financial institutions must stay ahead of the curve when it comes to account opening and onboarding. Digital account opening, empowering a prospective client to securely and efficiently open a new account, is key to how banks, credit unions and other financial institutions grow their business and expand their portfolio. Regardless of the time, money and other resources a financial institution invests in marketing to the right target prospect and tailoring an attractive offer, it’s worthless if that prospective customer can’t complete the process due to a poor account opening experience. Unhappy customers vote with their feet. A recent Experian study found that of the more 2,000 consumers surveyed who’d opened a new account in the last six months, 37% took their business elsewhere due to a negative account opening experience.   The choice of a reliable partner can make all the difference to your account opening and onboarding experience. The right partner must provide your financial institution with access to the freshest credit data; advanced analytics, scores and models to empower you to say yes to the right customers that meet your lending criteria; and industry-leading decision engines that make the best decisions and enable you to provide a seamless customer experience.  Moreover, the right partner will also help you in maintaining high levels of security without compromising user experience, all while adhering to regulatory compliance.  Recently, Liminal, a leading advisory and market intelligence firm specializing in the digital identity, cybersecurity, and fintech markets, released its highly anticipated Link™ Index Report for Account Opening in Financial Services, which evaluates solution providers in the financial sector, in the areas of compliance and fraud prevention for account opening. The report recognized Experian as a market leader for compliance and fraud prevention capabilities and market execution. Experian’s identity verification and fraud prevention solutions, including CrossCore® and Precise ID®, received the highest score out of the 32 companies highlighted in the report. It found that Experian was recognized by 94% of buyers and 89% identified Experian as a market leader.   “We’re thrilled to be named the top market leader in compliance and fraud prevention capabilities and execution by Liminal’s Link Index Report,” said Kathleen Peters, Chief Innovation Officer for Experian’s Decision Analytics business in North America. “We’re continually innovating to deliver the most effective identity verification and fraud prevention solutions to our clients so they can grow their business, mitigate risk and provide a seamless customer experience.”  You can access the full report here. To learn more about Experian’s award-winning fraud solutions, visit our identity fraud hub.  Download Liminal Link Index Report

In today’s age, where speed and convenience are paramount, lenders must transform their digital income verification experience to meet customer expectations. Leveraging the benefits of instant verification is crucial to delivering a seamless experience. However, there are situations where instant verification may not be available or unable to verify customers. This is where the value of incorporating user-permissioned verification into your workflow becomes evident.   Let’s explore the advantages of using a combination of instant and permissioned verification and how they can synergistically enhance coverage, reduce costs, improve efficiency, and deliver an exceptional customer experience.  Instant verification: The epitome of efficiency and experience  Instant verification technology enables lenders to access real-time customer data, making it the pinnacle of verification efficiency. Its ability to deliver immediate insights facilitates quick decision-making, ensuring a seamless and frictionless experience for lenders and customers. There are several benefits to streamlining your verification process, including:   Speed and efficiency: Eliminate the time-consuming process of manually gathering and analyzing data to expedite loan approvals and reduce customer waiting times.  Enhanced user experience: With real-time results, customers can complete their applications quickly and effortlessly, leading to increased satisfaction and higher conversion rates.  Reduced risk: Assess applicant information promptly, maintaining the security and integrity of lending processes.  Permissioned verification: Expanding coverage and engaging customers  While instant verification technology offers numerous advantages, it may not always be available or suitable for every customer. This is where permissioned verification plays a vital role. By integrating permissioned verification into the verification workflow, lenders can expand coverage and keep customers engaged in a digital channel, reducing abandonment rates. The benefits of leveraging permissioned verification include:  Convenience and speed: By granting permissioned access, customers avoid the hassle of uploading or submitting documents manually. This saves time and effort, resulting in a faster verification process.  Increased coverage and reduced abandonment: Permissioned verification ensures a higher coverage rate by minimizing the potential for customer abandonment during the application process. Since the information is retrieved seamlessly, customers are more likely to complete the application without frustration.  Privacy and control: Customers retain control over their data by explicitly granting permission for access. This enhances transparency and empowers individuals to manage their financial information securely.  Creating a verification "waterfall" for optimal results  To harness the combined power of instant and permissioned verification, lenders can establish a verification "waterfall" approach. This approach involves a cascading verification process where instant verification is the first step, followed by permissioned verification if instant verification is not available or unable to verify the customer.                                              Example of Experian Verify’s automated verification waterfall.  There are numerous advantages to adopting a “waterfall” approach, including:   Cost efficiency: Lenders who prioritize instant verification save on operational costs associated with manual verification processes. The seamless transition to permissioned verification reduces the need for manual intervention, minimizing expenses and improving efficiency.  Improved verification success rate: A verification waterfall ensures that alternative verification methods are readily available if the initial instant verification is unsuccessful. This increases the overall success rate of verifying customer data and reduces the likelihood of losing potential borrowers.  Enhanced customer experience: The combination of instant and permissioned verification creates a streamlined and frictionless customer experience. Customers can progress seamlessly through the verification process, reducing frustration and increasing satisfaction levels.  Propelling your business forward  In the dynamic landscape of lending, a combination of instant and permissioned verification technologies provides significant value to lenders and customers. While instant verification delivers unparalleled efficiency and experience, incorporating permissioned verification ensures expanded coverage, reduced abandonment rates, and a seamless digital journey for customers. By implementing a verification "waterfall" approach, lenders can optimize verification processes, reduce costs, improve efficiency, and ultimately deliver an exceptional customer experience.  Learn more about our solutions The advantages of instant and permissioned verification *This article leverages/includes content created by an AI language model and is intended to provide general information.

Are you looking for ways to make your financial institution more secure without adding unnecessary friction to the customer experience? Automated identity verification is an essential part of this process, safeguarding sensitive consumer information and helping to prevent fraud. This blog post will serve as the ultimate guide to automated identity verification so that you can understand why it's important and how it works. We'll cover all the details, like what automated ID verification is, how authentication software works with identifying documents, why automated identification technology is preferred over manual processes, and tips on implementing automation identity verification solutions into your business practices.   What is automated identity verification?  Automated identity verification is a secure, efficient process for verifying the identity of individuals or entities. This process is integral in various industries, especially the financial sector, to curb identity theft and fraudulent activities. It operates by using advanced analytics and authentication software that cross-references the provided data with a set of stored information. This technology eliminates  manual ID verification, saving time and improving accuracy. ID verification automation uses artificial intelligence and machine learning to compare identifying credentials against various authenticating sources.   Automated identity verification also comes into play for employment and income verification. Experian VerifyTM enables businesses through precise, real-time employment and income verification, ultimately helping businesses reduce risk, accelerate conversion and remove friction.   For a more comprehensive understanding of automated identity verification, you can visit Experian's Identity Verification Solutions webpage, which provides a deep dive into the intricacies of identity verification, including insights on its importance in modern business operations and how it keeps your business secure.  Benefits of automated identity verification for businesses and consumers   Automated ID verification has revolutionized the way businesses conduct their operations and interact with customers. For businesses, AIV offers a range of benefits such as:  Improved efficiency – businesses can automate the time-consuming process of identity verification, freeing up resources (staff) to focus on other critical tasks.  Enhanced security – the technology ensures that customer data is secure and accurate, minimizing fraud risks and/or data breaches.  Reduced costs – with the process being faster and more secure, costs are reduced as a byproduct.  On the other hand, consumers enjoy a hassle-free experience as they can verify their identity within seconds, without  physical documentation. This is essential for today’s consumers who expect frictionless experiences that keep them and their information safe.   Data from Experian’s annual U.S. Identity and Fraud Report reflects these sentiments: 37% of consumers moved a new account opening process to another organization because of a poor experience; 95% of consumers say it's important to be repeatedly recognized online by businesses; and 60% of consumers are concerned about their online privacy. With automated identity verification, businesses can build trust, streamline their processes, and ultimately improve their bottom line.  Furthermore, automated identity verification is a necessary component for businesses to minimize fraud risks in our evolving digital landscape. Living in an era where cybercrime is rampant, AIV safeguards businesses from potential fraudulent attempts and data breaches that could cause significant financial and reputational damage.   From a compliance standpoint, automated identity verification ensures regulatory compliance, which is critical, considering the stringent regulations regarding customer data protection. Non-compliance can lead to severe legal repercussions and financial penalties. For financial institutions, Know Your Customer (KYC) policies must include Customer Identification Programs. Experian can help across the entire customer journey, from onboarding through portfolio management, while reducing risk of non-compliance and providing seamless authentication.  Common challenges of automated identity verification   As more companies turn to artificial intelligence and automation to deliver superior customer service experiences, the challenges businesses face have multiplied. One of the most common issues is ensuring identity proofing and accurate information protection within their networks. Although account takeover prevention has become more advanced, fraudsters still use increasingly sophisticated methods to circumvent it. As such, businesses must continuously develop new strategies to overcome these challenges, ensuring that their AI-powered solutions continue to provide reliable and secure user experiences.  Types of identity verification solutions   As the digital world continues to evolve, automated identity verification solutions have become a crucial part of online interactions. These solutions not only enhance security measures, but also provide faster and more efficient ways of identifying individuals.   For instance, facial recognition is one example. Experian’s CrossCore® Doc Capture enables confident identity verification via facial recognition, which scans a person's face and compares it to their identification documents. Another type is voice recognition, which uses speech patterns to verify an identity. Additionally, document verification scans and validates various identification documents, such as driver's licenses and passports. It's essential to choose the most suitable AIV solution for your organization to ensure robust and reliable security measures.  How to implement an automated ID verification solution   It’s not new news that identity theft and fraud continue to be major concerns, particularly in an increasingly digital-only world.  Implementing automated identity verification solutions to safeguard against such threats can seem daunting, particularly for businesses with limited IT resources. However, the benefits of automated ID verification, such as increased accuracy and efficiency, make it a worthwhile investment. When choosing a solution,  consider factors such as the level of security provided, ease of implementation and integration with existing systems, and the ability to customize rules and settings. With careful planning and the right solution, , organizations can take a significant step towards improving their security posture and protecting their customers.  Best Practices for automated identity verification  Automated identity verification presents one way that financial institutions can increase automation. In doing so, organizations can improve accuracy, speed, and security in the verification process. One technique that has proven effective is the use of biometric technology, such as facial recognition and fingerprint scanning, to verify a person's identity. Additionally, utilizing various data sources, such as credit bureaus like Experian and government agencies, can increase the accuracy of verification. Implementing these best practices can not only save time and resources but also enhance customer experience by providing a seamless and secure verification process.  In summary, automated identity verification is a vital tool for businesses and consumers to enhance their safety and security when engaging with customers. Automated identity verification streamlines customer processes across the lifecycle by eliminating manual checks and lengthy delays. As technology continues to evolve, it’s important for organizations to remain mindful that the methodologies used within automated identity verification will rapidly change as well. The key is to stay ahead. Automated identity verification solutions offer many advantages for businesses who want to maintain their trustworthiness while staying competitive in an ever-changing market.  To learn more about Experian’s automated identity verification solutions, visit our website.    Learn More *This article includes content created by an AI language model and is intended to provide general information. 

The Federal Reserve (Fed) took a big step towards revolutionizing the U.S. payment landscape with the official launch of FedNow, a new instant payment service, on July 20, 2023. While the new payment network offers advantages, there are concerns that fraudsters may be quick to exploit the new real-time technology with fraud schemes like automated push payment (APP) fraud. How is FedNow different from existing payment networks? To keep pace with regions across the globe and accelerate innovation, the U.S. created a alternative to the existing payment network known as The Clearing House (TCH) Real-Time Payment Network (RTP). Fraudsters can use the fact that real-time payments immediately settle to launder the stolen money through multiple channels quickly. The potential for this kind of fraud has led financial regulators to consider measures to better protect against it. While both FedNow and RTP charge a comparable fee of 4.5 cents per originated transaction, the key distinction lies in their governance. RTP is operated by a consortium of large banks, whereas FedNow falls under the jurisdiction of the Federal Reserve Bank. This distinction could give FedNow an edge in the market. One of the advantages of FedNow is its integration with the extensive Federal Reserve network, allowing smaller local banks across the country to access the service. RTP estimates accessibility to institutions holding approximately 90% of U.S. demand deposit accounts (DDAs), but currently only reaches 62% of DDAs due to limited participation from eligible institutions. What are real-time payments? Real-time payments refer to transactions between bank accounts that are initiated, cleared, and settled within seconds, regardless of the time or day. This immediacy enhances transparency and instills confidence in payments, which benefits consumers, banks and businesses.Image sourced from JaredFranklin.com Real-time payments have gained traction globally, with adoptions from over 70 countries on six continents. In 2022 alone, these transactions amounted to a staggering $195 billion, representing a remarkable year-over-year growth of 63%. India leads the pack with its Unified Payments Interface platform, processing a massive $89.5 billion in transaction volume. Other significant markets include Brazil, China, Thailand, and South Korea. The fact that real-time payments cannot be reversed promotes trust and ensures that contracts are upheld. This also encourages the development of new methods to make processes more efficient, like the ability to pay upon receiving the goods or services. These advancements are particularly crucial for small businesses, which disproportionately bear the burden of delayed payments, amounting to a staggering $3 trillion globally at any given time. The launch of FedNow marks a significant milestone in the U.S. financial landscape, propelling the country towards greater efficiency, transparency, and innovation in payments. However, it also brings a fair share of challenges, including the potential for increased fraud. Are real-time payments a catalyst for fraud? As the financial landscape evolves with the introduction of real-time payment systems, fraudsters are quick to exploit new technologies. One particular form of fraud that has gained prominence is authorized push payment (APP) fraud. APP fraud is a type of scam where fraudsters trick individuals or businesses into authorizing the transfer of funds from their bank accounts to accounts controlled by the fraudsters. The fraudster poses as a legitimate entity and deceives the victim into believing that there is an urgent need to transfer money. They gain the victim's trust and provide instructions for the transfer, typically through online or telephone banking channels. The victim willingly performs the payment, thinking it is legitimate, but realizes they have been scammed when communication halts. APP fraud is damaging as victims authorize the payments themselves, making it difficult for banks to recover the funds. To protect against APP fraud, it's important to be cautious, verify the legitimacy of requests independently, and report any suspicious activity promptly. Fraud detection and prevention with real-time payments Advances in fraud detection software, including machine learning and behavioral analytics, make unusual urgent requests and fake invoices easier to spot — in real time — but some governments are considering legislation to ensure more support for victims. For example, in the U.K., frameworks like Confirmation of Payee have rolled out instant account detail checks against the account holder’s name to help prevent cases of authorized push payment fraud. The U.K.’s real-time payments scheme Pay.UK also introduced the Mule Insights Tactical Solution (MITS), which tracks the flow of fraudulent transactions used in money laundering through bank and credit union accounts. It identifies these accounts and stops the proceeds of crimes from moving deeper into the system – and can help victims recover their funds. While fraud levels related to traditional payments have slowly come down, real-time payment-related fraud has recently skyrocketed. India, one of the primary innovators in the space, recorded a 23% rise in fraud related to its real-time payments system in 2022. The same ACI report stated that the U.S., making up only 1.2% of all real-time payment transactions in 2022, had, for now, avoided the effects. However, “there is no reason to assume that without action, the U.S. will not follow the path to crisis levels of APP scams as seen in other markets.” FedNow currently has no specific plans to bake fraud detection into their newly launched technology, meaning the response is left to financial institutions. Fight instant fraud with instant answers Artificial Intelligence (AI) holds tremendous potential in combating the ever-present threat of fraud. With AI technologies, financial institutions can process vast amounts of data points faster and enhance their fraud detection capabilities. This enables them to identify and flag suspicious transactions that deviate from the norm, mitigating identity risk and safeguarding customer accounts. The ability of AI-powered systems to ingest and analyze real-time information empowers institutions to stay one step ahead in the battle against account takeover fraud. This type of fraud, which poses a significant challenge to real-time payment systems, can be better addressed through AI-enabled tools. With ongoing monitoring of account behavior, such as the services provided by FraudNet, financial institutions gain a powerful weapon against APP fraud. In addition to behavioral analysis, location data has emerged as an asset in the fight against fraud. Incorporating location-based information into fraud detection algorithms has proven effective in pinpointing suspicious activities and reducing fraudulent incidents. As the financial industry continues to grapple with the constant evolution of fraud techniques, harnessing the potential of AI, coupled with comprehensive data analysis and innovative technologies, becomes crucial for securing the integrity of financial transactions. Taking your next step in the fight against fraud Ultimately, the effectiveness of fraud prevention measures depends on the implementation and continuous improvement of security protocols by financial institutions, regulators, and technology providers. By staying vigilant and employing appropriate safeguards, fraud risks in real-time payment systems, such as FedNow, can be minimized. To learn more about how Experian can help you leverage fraud prevention solutions, visit us online or request a call.  *This article leverages/includes content created by an AI language model and is intended to provide general information.

"Grandma, it’s me, Mike.” Imagine hearing the voice of a loved one (or what sounds like it) informing you they were arrested and in need of bail money. Panicked, a desperate family member may follow instructions to withdraw a large sum of money to provide to a courier. Suspicious, they even make a video call to which they see a blurry image on the other end, but the same voice. When the fight or flight feeling settles, reality hits. Sadly, this is not the scenario of an upcoming Netflix movie. This is fraud – an example of a new grandparent scam/family emergency scam happening at scale across the U.S. While generative AI is driving efficiencies, personalization and improvements in multiple areas, it’s also a technology being adopted by fraudsters. Generative AI can be used to create highly personalized and convincing messages that are tailored to a specific victim. By analyzing publicly available social media profiles and other personal information, scammers can use generative AI to create fake accounts, emails, or phone calls that mimic the voice and mannerisms of a grandchild or family member in distress. The use of this technology can make it particularly difficult to distinguish between real and fake communication, leading to increased vulnerability and susceptibility to fraud. Furthermore, generative AI can also be used to create deepfake videos or audio recordings that show the supposed family member in distress or reinforce the scammer's story. These deepfakes can be incredibly realistic, making it even harder for victims to identify fraudulent activity. What is Generative AI? Generative artificial intelligence (GenAI) describes algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos. Generative AI has the potential to revolutionize many industries by creating new and innovative content, but it also presents a significant risk for financial institutions. Cyber attackers can use generative AI to produce sophisticated malware, phishing schemes, and other fraudulent activities that can cause data breaches, financial losses, and reputational damage. This poses a challenge for financial organizations, as human error remains one of the weakest links in cybersecurity. Fraudsters capitalizing on emotions such as fear, stress, desperation, or inattention can make it difficult to protect against malicious content generated by generative AI, which could be used as a tactic to defraud financial institutions. Four types of Generative AI used for Fraud: Fraud automation at scale Fraudulent activities often involve multiple steps which can be complex and time-consuming. However, GenAI may enable fraudsters to automate each of these steps, thereby establishing a comprehensive framework for fraudulent attacks. The modus operandi of GenAI involves the generation of scripts or code that facilitates the creation of programs capable of autonomously pilfering personal data and breaching accounts. Previously, the development of such codes and programs necessitated the expertise of seasoned programmers, with each stage of the process requiring separate and fragmented development. Nevertheless, with the advent of GenAI, any fraudster can now access an all-encompassing program without the need for specialized knowledge, amplifying the inherent danger it poses. It can be used to accelerate fraudsters techniques such as credential stuffing, card testing and brute force attacks. Text content generation In the past, one could often rely on spotting typos or errors as a means of detecting such fraudulent schemes. However, the emergence of GenAI has introduced a new challenge, as it generates impeccably written scripts that possess an uncanny authenticity, rendering the identification of deceit activities considerably more difficult. But now, GenAI can produce realistic text that sounds as if it were from a familiar person, organization, or business by simply feeding GenAI prompts or content to replicate. Furthermore, the utilization of innovative Language Learning Model (LLM) tools enables scammers to engage in text-based conversations with multiple victims, skillfully manipulating them into carrying out actions that ultimately serve the perpetrators' interests. Image and video manipulation In a matter of seconds, fraudsters, regardless of their level of expertise, are now capable of producing highly authentic videos or images powered by GenAI. This innovative technology leverages deep learning techniques, using vast amounts of collected datasets to train artificial intelligence models. Once these models are trained, they possess the ability to generate visuals that closely resemble the desired target. By seamlessly blending or superimposing these generated images onto specific frames, the original content can be replaced with manipulated visuals. Furthermore, the utilization of AI text-to-image generators, powered by artificial neural networks, allows fraudsters to input prompts in the form of words. These prompts are then processed by the system, resulting in the generation of corresponding images, further enhancing the deceptive capabilities at their disposal. Human voice generation The emergence of AI-generated voices that mimic real people has created new vulnerabilities in voice verification systems. Firms that rely heavily on these systems, such as investment firms, must take extra precautions to ensure the security of their clients' assets. Criminals can also use AI chatbots to build relationships with victims and exploit their emotions to convince them to invest money or share personal information. Pig butchering scams and romance scams are examples of these types of frauds where AI chatbots can be highly effective, as they are friendly, convincing, and can easily follow a script. In particular, synthetic identity fraud has become an increasingly common tactic among cybercriminals. By creating fake personas with plausible social profiles, hackers can avoid detection while conducting financial crimes. It is essential for organizations to remain vigilant and verify the identities of any new contacts or suppliers before engaging with them. Failure to do so could result in significant monetary loss and reputational damage. Leverage AI to fight bad actors In today's digital landscape, businesses face increased fraud risks from advanced chatbots and generative technology. To combat this, businesses must use the same weapons than criminals, and train AI-based tools to detect and prevent fraudulent activities. Fraud prediction: Generative AI can analyze historical data to predict future fraudulent activities. By analyzing patterns in data and identifying potential risk factors, generative AI can help fraud examiners anticipate and prevent fraudulent behavior. Machine learning algorithms can analyze patterns in data to identify suspicious behavior and flag it for further investigation. Fraud Investigation: In addition to preventing fraud, generative AI can assist fraud examiners in investigating suspicious activities by generating scenarios and identifying potential suspects. By analyzing email communications and social media activity, generative AI can uncover hidden connections between suspects and identify potential fraudsters. To confirm the authenticity of users, financial institutions should adopt sophisticated identity verification methods that include liveness detection algorithms and document-centric identity proofing, and predictive analytics models. These measures can help prevent bots from infiltrating their systems and spreading disinformation, while also protecting against scams and cyberattacks. In conclusion, financial institutions must stay vigilant and deploy new tools and technologies to protect against the evolving threat landscape. By adopting advanced identity verification solutions, organizations can safeguard themselves and their customers from potential risks. To learn more about how Experian can help you leverage fraud prevention solutions, visit us online or request a call

This article was updated on August 24, 2023. While the principle of “trust but verify” might work for personal relationships, “verifying before trusting” is a more appropriate approach for businesses. With consumers and companies leading more of their lives online, the use of online identity verification methods is becoming increasingly important.  According to Experian’s 2023 U.S. Identity and Fraud Report, 92 percent of businesses have a strategy in place for online identify verification. But more than half of consumers are either “somewhat confident” or “not very confident” in businesses’ ability to accurately identify them online.1 A streamlined initial verification process and continual authentication can help you build consumer trust and loyalty, as well as protect your business.  What is online identity verification?  Online identity verification is the process of digitally confirming the identity of a user. Whether you’re reviewing an account application or approving an online transaction, you need to know that the person you’re dealing with is who they claim to be.  Technology can help bring traditional identification verification methods online, such as checking a photo ID. Additionally, people and organizations have more digital “fingerprints” than ever before, which digital identity solutions can use to authenticate users with increased accuracy and less friction.  What problems do digital identity verification help solve?  A well-designed and implemented online identity verification process can help address fraud, compliance and customer demands all at once.  Verifying someone’s identity when they first create an account could be an important part of the know your customer (KYC) and customer identification program (CIP) requirements. From that moment on, continuous authentication can help detect and prevent fraud.  A proactive approach can also appeal to your customers, who may have an increasing awareness of and desire for security. Experian’s 2023 U.S. Identity and Fraud Report found that identity theft, stolen credit card information and privacy are top concerns when conducting activities online.1  Balancing the need for identity verification with a smooth online experience can be challenging. Customers may abandon a cart if identification requirements aren’t easy and fast, and may look for new services altogether if they’re repeatedly asked to authenticate themselves. But the challenge also presents an opportunity for companies that can leverage online identity verification services and methods to verify users’ identities accurately and discreetly.  Online identity verification methods  There are multiple ways to verify someone’s identity, but some of the most popular online identity verification methods include:  Personally identifiable information. Including their name, address, email address and phone number that can be checked against existing databases.  Mobile network operator data. A service that verifies a person’s mobile phone identity. For instance, this can help verify the name, address, device details and other information associated with a phone number.  Document verification. There are services that ask consumers to snap and upload a picture of the required document, like a driver’s license, passport, visa or national ID card. These may be verified with 2D or 3D facial recognition with liveness detection (e.g., verifying the user is human) or validating whether the document is real by verifying things like magnetic ink, the machine-readable zone and the barcode are genuine. One-time passwords. A one-time password is sent to a user’s phone or email during an application process to verify that they can access the account or device. Multifactor authentication. A service for existing users who can verify their identity with a combination of different factors, such as a password or biometrics (a method that measures unique physiological characteristics using fingerprints and face recognition). Knowledge-based association questions. These are questions that users answer to verify their identity. The questions may be based on their previous answers to “secret questions” or information from a credit bureau. Behavioral analysis. A service that verifies identity by comparing how a user interacts with a website or app to their previous behavior or an average user’s behavior. Environmental attributes, such as time and location, may also be considered. This technique requires no effort from the consumer. To keep up with increasing consumer and business demand, online identity verification processes may use artificial intelligence and machine learning techniques to complement the digital and manual processes. Some methods, such as consistency checks on a device and behavioral biometric assessments, can also help offer an “invisible” approach to verification. Even small behavioral traits, such as a user’s scrolling style or finger pressure, could be important data points. These invisible methods may be welcomed as a low-friction approach by consumers, who are increasingly aware of the lack of security that comes from only using passwords as an identity verification method. In Experian’s 2023 U.S. Identity and Fraud Report, 85 percent of consumers said they felt most secure using physical biometrics, followed by behavioral biometrics (81 percent) and payment or identity data from mobile wallets (80 percent), respectively.1 How Experian can help Experian is a global leader in identity verification and fraud detection services. We offer a layered approach that draws on different verification methods, including credit, device, non-traditional and user-provided data. Step-up authentication can add additional verification requirements based on how risky a user appears or the action they’re trying to take. The approach gives your trusted users a lower-friction experience while helping you detect multiple types of fraud and address CIP discrepancies. At the same time, your customers are assigned a unique and persistent identity, which can give you a single, consolidated view of your customers based on data from different platforms. Using these insights from identity resolution, you can deliver a personalized experience that surprises and delights. Given that 70% percent of consumers say it’s extremely or very important for businesses to accurately identify them online, doubling down on the use of online identity verification methods is a smart business practice.1 Learn more about Experian’s identity verification solutions and Experian VerifyTM. 1 (Experian). 2023 U.S. Identity and Fraud Report.

This article was originally published on multifamilyinsiders.com One of the challenges currently facing the rental housing industry is the amount of lease application fraud. An Entrata study found a 111% increase in lease application fraud between 2019 and 2020. In the same study, 55% of surveyed apartment managers and rental operators said their properties experience fraudulent lease application attempts every few months, and 15% said their communities were subjected to multiple attempts each month. One-third of respondents described themselves as "very concerned" about application fraud. Just as alarming as the rise in attempts is the apparent likelihood of success. In the study, 65% of apartment managers said they are not confident in their current fraud prevention efforts. Some applicants can use a range of tools to commit fraud such as fake pay stubs, bank statements, employment records, and other falsified documents. Unfortunately, readily available computer technology makes it all too easy for applicants to produce these falsified documents. Tools to fight against fraud Apartment communities that rely on an overly manual screening process may find themselves at a disadvantage in the current landscape. Relying on associates to manually verify things like income and employment history can increase the risk of a deceitful applicant being successful. In addition, these processes can be extraordinarily time-consuming, which means leasing associates have less bandwidth for their many other important duties and responsibilities. Not to mention, the units stay unoccupied while these time-consuming verifications are being done manually. Among the general screening technologies that operators should consider: Automated verification of income, assets and employment — These solutions eliminate the need for operators to collect this kind of documentation from applicants. Furthermore, it eliminates the opportunity for applicants to supply falsified supporting documentation. Frictionless authentication — A multi-layered identity verification process for those applying for rental housing, frictionless authentication detects the subtle and not-so-subtle signs that an applicant is, to one degree or another, using a false identity. By highlighting discrepancies, the process assigns a “score” to quantify the likelihood that misrepresentation is taking place. Additional confirmation of the applicant’s identity can be completed using a one-time passcode (OTP) or knowledge-based authentication (KBA). This technology also uses device intelligence to recognize the risks associated with the physical devices (such as computers, tablets, and smartphones) that consumers use for online applications to identify potential imposters. In today's landscape, apartment owners and operators need to make sure they're protecting themselves against fraudulent applicants, who may not fulfill their financial obligations as outlined in their leases. By embracing the ever-growing array of advanced screening tools and technologies, owners and operators can achieve that protection and reduce their risk significantly — and save their associates time and energy.

Money mule fraud is a type of financial scam in which criminals exploit individuals, known as money mules, to transfer stolen money or the proceeds of illegal activities. Money mule accounts are becoming increasingly difficult to distinguish from legitimate customers, especially as criminals find new ways to develop hard-to-detect synthetic identities. How money mule fraud typically works: Recruitment: Fraudsters seek out potential money mules through various means, such as online job ads, social media, or email/messaging apps. They will often pose as legitimate employers offering job opportunities promising compensation or claiming to represent charitable organizations. Deception: Once a potential money mule is identified, the fraudsters use persuasive tactics to gain their trust. They may provide seemingly legitimate explanations like claiming the money is for investment purposes, charity donations or for facilitating business transactions. Money Transfer: The mule is instructed to receive funds to their bank or other financial account. The funds are typically transferred from other compromised bank accounts obtained through phishing or hacking. The mule is then instructed to transfer the money to another account, sometimes located overseas. Layering: To mask the origin of funds and make them difficult to trace, fraudsters will employ layering techniques. They may ask the mule to split funds into smaller amounts, make multiple transfers to different accounts, or use various financial platforms such as money services or crypto. Compensation: The money mule is often promised a percentage of transferred funds as payment.  However, the promised monies are lower than the dollars transferred, or sometimes the mule receives no payment at all. Legal consequences: Regardless whether mules know they are supporting a criminal enterprise or are unaware, they can face criminal charges. In addition, their personal information could be compromised leading to identity theft and financial loss. How can banks get ahead of the money mule curve: Know your beneficiaries Monitor inbound paymentsEngage identity verification solutionsCreate a “Mule Persona” behavior profileBeware that fraudsters will coach the mule, therefore confirmation of payee is no longer a detection solution Educate your customers to be wary of job offers that seem too good to be true and remain vigilant of requests to receive and transfer money, particularly from unknown individuals and organizations. How financial institutions can mitigate money mule fraud risk When new accounts are opened, a financial institution usually doesn’t have enough information to establish patterns of behavior with newly registered users and devices the way they can with existing users. However, an anti-fraud system should catch a known behavior profile that has been previously identified as malicious. In this situation, the best practice is to compare the new account holder’s behavior against a representative pool of customers, which will analyze things like: Spending behavior compared to the averagePayee profileSequence of actionsNavigation data related to machine-like or bot behaviorAbnormal or risky locationsThe account owner's relations to other users The risk engine needs to be able to collect and score data across all digital channels to allow the financial institution to detect all possible relationships to users, IP addresses and devices that have proven fraud behavior. This includes information about the user, account, location, device, session and payee, among others. If the system notices any unusual changes in the account holder’s personal information, the decision engine will flag it for review. It can then be actively monitored and investigated, if necessary. The benefits of machine learning This is a type of artificial intelligence (AI) that can analyze vast amounts of disparate data across digital channels in real time. Anti-fraud systems based on AI analytics and predictive analytics models have the ability to aggregate and analyze data on multiple levels. This allows a financial institution to instantly detect all possible relationships across users, devices, transactions and channels to more accurately identify fraudulent activity. When suspicious behavior is flagged via a high risk score, the risk engine can then drive a dynamic workflow change to step up security or drive a manual review process. It can then be actively monitored by the fraud prevention team and escalated for investigation. How Experian can help Experian’s fraud prevention solutions incorporate technology, identity-authentication tools and the combination of machine learning analytics with Experian’s proprietary and partner data to return optimal decisions to protect your customers and your business. To learn more about how Experian can help you leverage fraud prevention solutions, visit us online or request a call

Trust is the primary factor in any business building a long-lasting relationship, especially when a company operates globally and wants to build a loyal customer base. With the rapid acceleration of digital shopping and transactions comes a growing fraud landscape. And, given the continual increase of people wanting to transact online, marketplace companies – from ecommerce apps, ridesharing, to rental companies – need to have ideal strategies in place to protect themselves and their customers from fraudulent activities. Without ideal risk mitigation or comprehensive fraud and identity proofing strategies, marketplaces may find themselves facing the following: Card-not-present (CNP) Fraud: As online shopping increases, customers can’t provide a credit card directly to the merchant. That’s why fraudsters can use stolen credit card information to make unauthorized transactions. And in most cases, card owners are unaware of being compromised. Without an integrated view of risk, existing credit card authentication services used in isolation can result in high false positives, friction and a lack of card issuer support. Unverified Consumer Members, Vendors, Hosts & Drivers: From digital marketplace merchants like Etsy and Amazon, to peer-to-peer sharing economies like AirBnB, Uber and Lyft, the marketplace ecosystem is prone to bad actors who use false ID techniques to exploit both the platform and consumers for monetary gain. Additionally, card transaction touchpoints across the customer lifecycle increases risks of credit card authentication. This can be at account opening, account management when changes to existing account information is necessary, or at checkout. Buy Now, Pay Later (BNPL) Muling: While a convenient way for consumers to plan for their purchases, experts warn that without cautionary and security measures, BNPL can be a target for digital fraud. Fraudsters may use their own or fabricated identities or leverage account takeover to gain access to a legitimate user’s account and payment information to make purchases with no intent to repay. This leaves the BNPL provider at the risk of unrecoverable monetary losses that can impact the business’ risk tolerance. Forged Listings & Fake Accounts: Unauthorized vendors that create a fake account using falsified identities, stolen credit cards and publish fake listings and product reviews are another threat faced by ecommerce marketplaces. These types of fraud can happen without the vast data sources necessary to assess the risk of a customer and authenticate credit cards among other fraud and identity verification solutions. By not focusing on establishing trust, fraud mitigation management solutions and identity proofing strategies, businesses can often find themselves with serious monetary, reputational, and security qualms. Interested in learning more? Download Experian’s Building Trust in Digital Marketplaces e-book and discover the strategies digital marketplaces, like the gig economy and peer-to-peer markets, can take to keep their users safe, and protected from fraudulent activity. For additional information on how Experian is helping businesses mitigate fraud, explore our comprehensive suite of identity and fraud solutions. Download e-book

Today’s digital-first world is more interconnected than ever. Financial transactions take place across borders and through various channels, leaving financial institutions and their customers at increasing risk from evolving threats like identity theft, fraud and others from sophisticated crime rings. And consumers are feeling that pressure. A recent Experian study found that over half of consumers feel like they are more of a target for online fraud than a year ago. Likewise, more than 40% of businesses reported increased fraud losses in recent years. It’s not only critical that organizations ensure the security and trustworthiness of digital transactions and online account activity to reduce risk and losses but what consumers expect. In the same Experian study, more than 85% of consumers said they expect businesses to respond to their fraud concerns, an expectation that has increased over the last several years.   Businesses and financial institutions most successful at mitigating fraud and reducing risk have adopted a layered, interconnected approach to identity confirmation and fraud prevention. One vital tool in this process is identity document verification. This crucial step not only safeguards the integrity of financial systems but also protects individuals and organizations from fraud, money laundering and other illicit activities. In this blog, we will delve into the significance of identity document verification in financial services and explore how it strengthens the overall security landscape.  Preventing identity theft and fraud Identity document verification plays a vital role in thwarting identity theft and fraudulent activities. By verifying the authenticity of identification documents, financial institutions can ensure that the individuals accessing their services are who they claim to be. Sophisticated verification processes, including biometric identification and document validation, help detect counterfeit documents, stolen identities and impersonation attempts. By mitigating these risks, financial institutions can protect their customers from unauthorized access to accounts, fraudulent transactions and potential financial ruin. Compliance with regulatory requirements Financial institutions operate in an environment governed by stringent regulatory frameworks designed to combat money laundering, terrorist financing and other financial crimes. Identity document verification is a key component of these regulatory requirements. By conducting thorough verification checks, financial service providers can adhere to Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations. Compliance safeguards the institution's reputation and helps combat illicit financial activities that can have far-reaching consequences for national security and stability. Mitigating risk and enhancing trust Effective identity document verification mitigates risks associated with financial services. By verifying the identity of customers, financial institutions can reduce the likelihood of fraudulent activities, such as account takeovers, unauthorized transactions and loan fraud. This verification process bolsters the overall security of the financial system and creates a more trustworthy environment for stakeholders. Trust is fundamental in establishing long-lasting customer relationships and attracting new clients to financial institutions.   Facilitating digital onboarding and seamless customer experience As financial services embrace digital transformation, identity document verification becomes essential for smooth onboarding processes. Automated identity verification solutions enable customers to open accounts and access services remotely, eliminating the need for in-person visits or cumbersome paperwork. By streamlining the customer experience and minimizing the time and effort required for account setup, financial institutions can attract tech-savvy individuals and enhance customer satisfaction.  Combating money laundering and terrorist financing Proper document verification is a key component of combating money laundering and terrorist financing activities. By verifying customer identities, financial institutions can establish the source of funds and detect suspicious transactions that may be linked to illicit activities. This proactive approach helps protect the integrity of the financial system, supports national security efforts, and contributes to the global fight against organized crime and terrorism. Identity document verification is a vital component in the layered, interconnected approach to mitigating and preventing fraud in modern financial services. By leveraging advanced technologies and robust verification processes, financial institutions can ensure the authenticity of customer identities, comply with regulatory requirements, mitigate risk and enhance trust.  As financial services continue evolving in an increasingly digital landscape, identity document verification will remain a crucial tool for safeguarding the security and integrity of the global financial system.  For more information on how Experian can help you reduce fraud while delivering a seamless customer experience, visit our fraud management solutions hub.   Learn more

The ability to verify customer identities is essential for financial institutions for numerous reasons: regulatory requirements, for the protection of their consumers and their business, mitigating risk and more. Being able to detect high-risk customers and large transactions is a critical component of Know Your Customer (KYC) strategies. In addition to being good business practices, this type of risk mitigation is also outlined in industry regulations. In an increasingly complex regulatory environment, companies may be faced with meeting multiple KYC and Anti-Money Laundering (AML) requirements. Actions taken to validate customers such as enhanced due diligence in KYC compliance have impacts spanning far beyond just regulatory compliance. As with any business, bottom line and budget are primary drivers for many financial institutions. Enhanced due diligence (EDD) can positively impact a business's bottom line by contributing to the reduction of fraud rates. And with increased security to discover potential fraudsters, organizations can protect both customers and reputational value. Enhanced due diligence explained: Why KYC, CIP and AML are critical in financial services EDD takes Customer Due Diligence (CDD) to the next level. Financial institutions conduct CDD to protect their organizations from financial crime. CDD is also a critical component of KYC steps to comply with AML laws. AML legislation requires financial institutions to validate their customers to ensure they aren’t part of explicitly illegal financial activity or funding terrorism. EDD is, as it sounds, a more involved form of due diligence, which encompasses additional procedures. EDD involves determining a customer’s risk, often requiring additional information and evidence to determine their viability. While CDD is performed on all customers, EDD is reserved for high-risk potential customers. Because EDD is often more costly and involved in terms of time and resources, a risk-based approach is recommended to flag only the instances when this additional level of validity is required. KYC references the mandatory process of identifying and verifying a client’s identity at account opening and over the course of their relationship with a company to ensure they are the person they say they are. KYC consists of three parts: Customer identification program (CIP), CDD and EDD. CIP requires, at minimum, that financial institutions provide four pieces of identifying information including name, date of birth, address and identification number. CDD consists of classifying the identifying information that was collected. After identifying who the client is (via CIP), CDD assesses the information to determine risk. Enhanced due diligence in KYC In order to establish a competent EDD program, you must improve your CIP and KYC programs. Objective, automated and efficient identity verification capabilities help you acquire profitable, legitimate customers and monitor them effectively over time to meet regulatory compliance expectations. How can EDD benefit your business? Failing to comply with EDD regulations can result in countless risks for financial institutions like fines and reputational losses. While many customers pose little to no risk, high-risk individuals must be flagged quickly and efficiently. The primary benefit of EDD is to protect both financial institutions and their customers from financial crimes such as money laundering and terrorist financing, but there are other risks as well. By mitigating potential risks associated with higher-risk customers, EDD can prevent financial institutions from incurring regulatory fines, legal action, and damage to their reputation. In turn, this ensures that customers have more trust in their financial service providers. Financial institutions can then gain a competitive advantage by offering more secure financial products and services that investors, businesses and customer demand. Access EDD from Experian Experian leverages our advanced analytics, reliable data sources, and team of experts to conduct objective, full and comprehensive due diligence with confidence and certainty. Our solutions, including flexible monitoring and segmentation tools, allow you to resolve discrepancies and fraud risk in a single step, all while keeping pace with emerging fraud threats with effective customer identification software. Improving your Customer Identification Program (CIP) and KYC programs In conclusion, Enhanced Due Diligence in KYC, CIP, and AML are critical components of the financial services regulatory compliance framework. EDD goes beyond the standard KYC, CIP, and AML checks to mitigate risks associated with higher-risk customers. Implementing EDD can help financial institutions comply with regulatory requirements, protect against potential risks, and prevent financial crimes. Ultimately, this benefits not only the institutions but also their customers and the broader economy. It’s vital that financial institutions understand and appreciate the importance of EDD and take appropriate measures to implement it effectively. Experian offers objective, automated and efficient identity verification solutions to help you acquire profitable, legitimate customers and monitor them over time to meet regulatory compliance expectations. Discover the power of CIP and KYC solutions. Learn more

52 percent of banks report high levels of concern about fraud, making fraud detection in banking top-of-mind. Banking fraud prevention can seem daunting, but with the proper tools, banks, credit unions, fintechs, and other financial institutions can frustrate and root out fraudsters while maintaining a positive experience for good customers. What is banking fraud? Banking fraud is a type of financial crime that uses illegal means to obtain money, assets, or other property owned or held by a bank, other financial institution, or customers of the bank. This type of fraud can be difficult to detect when misclassified as credit risk or written off as a loss rather than investigated and prevented in the future. Fraud that impacts financial institutions consists of small-scale one-off events or larger efforts perpetrated by fraud rings. Not long ago, many of the techniques utilized by fraudsters required in-person or phone-based activities. Now, many of these activities are online, making it easier for fraudsters to disguise their intent and perpetrate multiple attacks at once or in sequence. Banking fraud can include: Identity theft: When a bad actor steals a consumer’s personal information and uses it to take money, open credit accounts, make purchases, and more. Check fraud: This type of fraud occurs when a fraudster writes a bad check, forges information, or steals and alters someone else’s check. Credit card fraud: A form of identity theft where a bad actor makes purchases or gets a cash advance in the name of an unsuspecting consumer. The fraudster may takeover an existing account by gaining access to account numbers online, steal a physical card, or open a new account in someone else’s name.  Phishing: These malicious efforts allow scammers to steal personal and account information through use of email, or in the case of smishing, through text messages. The fraudster often sends a link to the consumer that looks legitimate but is designed to steal login information, personally identifiable information, and more. Direct deposit account fraud: Also known as DDA fraud, criminals monetize stolen information to open new accounts and divert funds from payroll, assistance programs, and more. Unfortunately, this type of fraud doesn’t just lead to lost funds – it also exposes consumer data, impacts banks’ reputations, and has larger implications for the financial system. Today, top concerns for banks include authorized push or wire transfer payment fraud, transactional fraud. Also, 33 percent of businesses encountered account takeover, first-party fraud, third-party fraud, and synthetic identity fraud last year. Without the proper detection and prevention techniques, it’s difficult for banks to keep fraudsters perpetrating these schemes out. What is banking fraud prevention? Detecting and preventing banking fraud consists of a set of techniques and tasks that help protect customers, assets and systems from those with malicious intent. Risk management solutions for banks identify fraudulent access attempts, suspicious transfer requests, signs of false identities, and more. The financial industry is constantly evolving, and so are fraudsters. As a result, it’s important for organizations to stay ahead of the curve by investing in new fraud prevention technologies. Depending on the size and sophistication of your institution, the tools and techniques that comprise your banking fraud prevention solutions may look different. However, every strategy should include multiple layers of friction designed to trip up fraudsters enough to abandon their efforts, and include flags for suspicious activity and other indicators that a user or transaction requires further scrutiny.   Some of the emerging trends in banking fraud prevention include: Use of artificial intelligence (AI) and machine learning (ML). While these technologies aren’t new, they are finding footing across industries as they can be used to identify patterns consistent with fraudulent activity – some of which are difficult or time-consuming to detect with traditional methods. Behavioral analytics and biometrics. By noting standard customer behaviors — e.g., which devices they use and when — and how they use those devices — looking for markers of human behavior vs. bot or fraud ring activity — organizations can flag riskier users for additional authentication and verification. Leveraging additional data sources. By looking beyond standard credit reports when opening credit accounts, organizations can better detect signs of identity theft, synthetic identities, and even potential first-party fraud.     With real-time fraud detection tools in place, financial institutions can more easily identify good consumers and allow them to complete their requests while applying the right amount and type of friction to detect and prevent fraud.   How to prevent and detect banking fraud In order to be successful in the fight against fraud and keep yourself and your customers safe, financial institutions of all sizes and types must: Balance risk mitigation with the customer experience Ensure seamless interactions across platforms for known consumers who present little to no risk Leverage proper identity resolution and verification tools Recognize good consumers and apply the proper fraud mitigation techniques to riskier scenarios With Experian’s interconnected approach to fraud detection in banking, incorporating data, analytics, fraud risk scores, device intelligence, and more, you can track and assess various activities and determine where additional authentication, friction, or human intervention is required. 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