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U.S. federal prosecutors have indicted Michael Smith of North Carolina for allegedly orchestrating a $10 million fraud scheme involving AI-generated music. Smith is accused of creating fake bands and using AI tools to produce hundreds of tracks, which were streamed by fake listeners on platforms like Spotify, Apple Music, and Amazon Music. Despite the artificial engagement, the scheme generated real royalty payments, defrauding these streaming services. This case marks the first prosecution of its kind and highlights a growing financial risk: the potential for rapid, large-scale fraud in digital platforms when content and engagement can be easily fabricated. A new report from Imperva Inc. highlights the growing financial burden of unsecure APIs and bot attacks on businesses, costing up to $186 billion annually. Key findings highlight the heavy economic burden on large companies due to their complex and extensive API ecosystems, often unsecured. Last year, enterprises managed about 613 API endpoints on average, a number expected to grow, increasing associated risks. APIs exposure to bot attacks Bot attacks, similar to those seen in streaming fraud, are also plaguing financial institutions. The risks are significant, weakening both security and financial stability. 1. Fraudulent transactions and account takeover Automated fraudulent transactions: Bots can perform high volumes of small, fraudulent transactions across multiple accounts, causing financial loss and overwhelming fraud detection systems. Account takeover: Bots can attempt credential stuffing, using compromised login data to access user accounts. Once inside, attackers could steal funds or sensitive information, leading to significant financial and reputational damage. 2. Synthetic identity fraud Creating fake accounts: Bots can be used to generate large numbers of synthetic identities, which are then used to open fake accounts for money laundering, credit fraud, or other illicit activities. Loan or credit card fraud: Using fake identities, bots can apply for loans or credit cards, withdrawing funds without intent to repay, resulting in significant losses for financial institutions. 3. Exploiting API vulnerabilities API abuse: Just as bots exploit API endpoints in streaming services, they can also target vulnerable APIs in financial platforms to extract sensitive data or initiate unauthorized transactions, leading to significant data breaches. Data exfiltration: Bots can use APIs to extract financial data, customer details, and transaction records, potentially leading to identity theft or data sold on the dark web. Bot attacks targeting financial institutions can result in extensive fraud, data breaches, regulatory fines, and loss of customer trust, causing significant financial and operational consequences. Safeguarding financial integrity To safeguard your business from these attacks, particularly via unsupervised APIs, a multi-layered defense strategy is essential. Here’s how you can protect your business and ensure its financial integrity: 1. Monitor and analyze data patterns Real-time analytics: Implement sophisticated monitoring systems to track user behavior continuously. By analyzing user patterns, you can detect irregular spikes in activity that may indicate bot-driven attacks. These anomalies should trigger alerts for immediate investigation. AI, machine learning, and geo-analysis: Leverage AI and machine learning models to spot unusual behaviors that can signal fraudulent activity. Geo-analysis tools help identify traffic originating from regions known for bot farms, allowing you to take preventive action before damage occurs. 2. Strengthen API access controls Limit access with token-based authentication: Implement token-based authentication to limit API access to verified applications and users. This reduces the chances of unauthorized or bot-driven API abuse. Control third-party integrations: Restrict API access to only trusted and vetted third-party services. Ensure that each external service is thoroughly reviewed to prevent malicious actors from exploiting your platform. 3. Implement robust account creation procedures PII identity verification solutions: Protect personal or sensitive data through authenticating someone`s identity and helping to prevent fraud and identity theft. Email and phone verification: Requiring email or phone verification during account creation can minimize the risk of mass fake account generation, a common tactic used by bots for fraudulent activities. Combating Bots as a Service: Focusing on intent-based deep behavioral analysis (IDBA), even the most sophisticated bots can be spotted, without adding friction. 4. Establish strong anti-fraud alliances Collaborate with industry networks: Join industry alliances or working groups that focus on API security and fraud prevention. Staying informed about emerging threats and sharing best practices with peers will allow you to anticipate new attack strategies. 5. Continuous customer and account monitoring Behavior analysis for repeat offenders: Monitor for repeat fraudulent behavior from the same accounts or users. If certain users or transactions display consistent signs of manipulation, flag them for detailed investigation and potential restrictions. User feedback loops: Encourage users to report any suspicious activity. This crowd-sourced intelligence can be invaluable in identifying bot activity quickly and reducing the scope of damage. 6. Maintain transparency and accountability Audit and report regularly: Offer regular, transparent reports on API usage and your anti-fraud measures. This builds trust with stakeholders and customers, as they see your proactive steps toward securing the platform. Real-time dashboards: Provide users with real-time visibility into their data streams or account activities. Unexplained spikes or dips can be flagged and investigated immediately, providing greater transparency and control. Conclusion Safeguarding your business from bot attacks and API abuse requires a comprehensive, multi-layered approach. By investing in advanced monitoring tools, enforcing strict API access controls, and fostering collaboration with anti-fraud networks, your organization can mitigate the risks posed by bots while maintaining credibility and trust. The right strategy will not only protect your business but also preserve the integrity of your platform. Learn more

The Fed finally made their long-awaited rate cut. Hooray! The industry is saved! Brush off the dust everyone, it’s time to start originating mortgages like it’s 2006 again! Not so fast. While it's true that there are opportunities to take advantage of now that rates have declined, there remain open questions: How much further will rates decline? So far, only this single drop has been signaled. How many customers will realize benefit from a rate & term refinance offer given the rate drop(s)? What does this rate drop mean for the purchase market given that home prices remain at all-time highs? To put it simply, there are lending opportunities for home lenders (mortgage and home equity), but only for those with the ability to effectively leverage data and analytical strategies to identify and execute on the pockets of opportunity. By “pockets of opportunity,” we mean the following categories of consumers will benefit from specific mortgage or home equity offers. Rate & term refi: According to Experian research, over 83% of mortgages have an interest rate below 6.5%. This means that only the loans originated in the past couple of years (including one held by your author) will be eligible for a rate & term refi. The dollar amount on these loans will be high along with the interest rates, so even a minor savings on the interest rate will translate to potentially hundreds of thousands of dollars in lifetime interest savings for the borrowers. Being able to accurately identify which borrowers have an interest rate that is higher than the rate you can offer them is key to efficiently targeting and originating rate & term refinances. Cashout refi: Equity levels exploded over the past several years for homeowners. Home prices show no sign of slowing down and home equity continues to be a significant, and in many cases untapped, financial resource for borrowers. A cashout refi is an excellent option for those consumers with high amounts of available equity in their homes. Some borrowers may choose to originate a cashout refinance loan even if the interest rate is similar to their existing rate, such is the value of partially liquidating their equity position. Having the consumer-level data to identify what equity positions are and the current interest rate is crucial to crafting personalized, effective marketing offers. The ability to target qualified customers with a personalized offer is critical given that in August 2024, over 2.9 million cashout direct mail offers were mailed to consumers.1 Streamlined refi: The VA and FHA have streamlined refinance programs that minimize the consumer lift to refinance their loan. Additionally, there are also non-VA and FHA loans that could benefit from what is called an “Express Title,” which removes the need for a full title workup and expedites the originations process. Borrowers that meet the criteria for these streamlined refinance offers can be identified using credit data. Since these refinances are easier for consumers, they will be more likely to respond and book a refinance offer, which means more ROI for your marketing spend. Home equity lines/loans: Similar to cashout refi, home equity products are an option for consumers to access the equity they have in their price-appreciated homes. Although this is no mystery to most lenders, many lenders do not leverage adequate data or analytics to identify the needle in the haystack of customers that still remain to be targeted. Experian data shows over $25B in monthly HELOC originations as of August 2024. Understanding which consumers have a second lien position available, how much equity they have by leveraging trade-level mortgage data and Automated Valuation Model (AVM) data, and other methods can help your home equity products stand out from the sea of offers in the mail and online. At Experian, we help our clients target and originate all four categories of borrowers: rate & term refinancers, cashout refinancers, streamlined refinancers, and home equity borrowers. Crafting a marketing strategy with the accurate data to precisely identify which consumers qualify for which product is crucial to making the most of your marketing spend. Without the guidance of such data and the personalized offers they enable, your marketing message is liable to be lost among all of the other direct mail and email blasts. Market with confidence Crafting an effective holistic marketing strategy across these segments is crucial to campaign success. Consider these borrower situations and prepare to respond with confidence: Does the consumer have a high interest rate? Would the consumer benefit from a quick rate & term refi? If yes, ship the offer out. Does the consumer have a significant equity position and outstanding revolving debt balances, but not qualify for a rate & term due to a relatively low rate? If yes, ship them a cashout refi offer with language about using their equity to pay off revolving debt. Does the consumer meet the criteria for a streamlined refi, and would they benefit financially from such an offer? If yes, ship them a VA IRRRL (Interest Rate Reduction Refinance Loan), FHA streamline, or an offer to cover their refi title expenses if they qualify for an express title. Does the consumer have an open second lien on their primary residence, but not qualify for either kind of refi? If yes, ship them a home equity offer. By creating this kind of specialized marketing waterfall, lenders can ensure they have valuable offers for all borrowers, not just for a specialized market. Such strategies allow you to target your existing portfolio or a prospect population to facilitate portfolio growth and prevent portfolio attrition. Be sure to join our upcoming webinar, "Return of the Refi: Top Lending Strategies for Becoming a Refi Master." Register now and learn more about how Experian can help you win more mortgage and home equity customers in this declining rate environment. Register now Learn more 1 Mintel data

In this article…Understanding the scope of fintech fraudThe importance of fintech fraud preventionSynthetic identity (ID) fraud: A growing threatHow fintech fraud detection and prevention are evolvingGet started today The integration of technology with traditional financial services has unlocked unprecedented convenience and opportunities for consumers and businesses alike. However, this digital shift has opened the door for more sophisticated fraud tactics. With fraudsters continuously refining their methods, fintech companies must invest in advanced fintech fraud detection and prevention solutions. Understanding the scope of fintech fraud As fintech platforms expand, they also attract the attention of cybercriminals. The accessibility of digital financial services can create vulnerabilities that fraudsters exploit, executing everything from personal account takeovers to larger-scale breaches involving synthetic identities.  Source: Experian’s 2024 U.S. Identity & Fraud Report To counter these threats, fintech companies must deploy innovative fraud management solutions powered by artificial intelligence (AI), machine learning (ML), and advanced analytics. Unlike traditional methods that often rely on static rules and manual reviews, these solutions can process vast amounts of data, learn from historical patterns, and detect anomalies in real-time. This allows organizations to identify suspicious activities before they lead to significant losses. The importance of fintech fraud prevention While detecting fraud is crucial, preventing it from occurring in the first place is even more important. Fraud prevention solutions aim to create robust systems that stop fraudsters in their tracks before they can cause damage. With the rise of digital financial services, the need for proactive fraud prevention measures has never been greater. These solutions protect both consumers and businesses from financial harm, reducing the risk of financial loss and reputational damage. Advanced fraud prevention solutions employ multi-layered strategies, combining AI-driven fraud detection tools with methods such as multifactor authentication and biometric identity verification. These tools create an extra layer of security, making it difficult for fraudsters to access sensitive data or execute fraudulent transactions. Experian’s fraud prevention solutions offer businesses a comprehensive suite of tools designed to prevent various types of fraud. From real-time transaction monitoring to sophisticated user authentication methods, these solutions provide the protection businesses need to stay ahead of evolving fraud tactics. Synthetic identity (ID) fraud: A growing threat One of the most concerning forms of fraud that fintech companies face is synthetic ID fraud. This type of fraud involves the creation of a fake identity using a combination of real and fabricated information. Fraudsters often steal pieces of personal data—such as Social Security numbers or addresses—and then combine them with fictional information to create a new, synthetic identity. These synthetic identities can be used to open bank accounts, apply for credit cards, or take out loans, leaving businesses and consumers vulnerable to significant financial losses. Synthetic ID fraud is particularly difficult to detect because the synthetic identity often looks legitimate to traditional verification systems. As a result, fintech companies must deploy sophisticated fraud detection systems that can identify synthetic identities before they’re used to commit fraud. Machine learning algorithms, for instance, can analyze behavioral data, detecting discrepancies that may indicate a synthetic identity. Experian is ranked #1 by the Center for Financial Professionals (CeFPro®) for Identity and Fraud. The ranking appeared in CeFPro’s Fintech Leaders Report, a comprehensive annual study of the fintech industry. How fintech fraud detection and prevention are evolving As fraudsters continue to evolve their tactics, fintech companies must remain one step ahead by investing in cutting-edge fraud detection and prevention technologies. Real-time monitoring, predictive analytics, and biometrics are just a few of the technologies shaping the future of fraud detection. By integrating these technologies into their fraud management processes, fintech companies can offer a more secure and seamless experience for their users. With the acquisition of NeuroID, an industry leader in behavioral analytics, Experian has amplified its fraud risk suite by providing a new layer of insight into digital behavioral signals and analytics. Available through our fraud solutions on the Experian Ascend Technology PlatformTM, clients can proactively monitor and analyze a user’s real-time digital behavior, allowing them to confidently navigate the online landscape and provide frictionless customer experiences. Get started today As the fraud landscape continues to evolve, fintech companies must adopt comprehensive solutions to stay ahead of emerging threats. By doing so, they can protect themselves and their customers, ensuring the continued success of digital financial services in the years to come. To learn more, check out our fraud management and fintech solutions. Fraud management solutions Fintech solutions This article includes content created by an AI language model and is intended to provide general information. In this article…