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Blog: The Growing Threat of Fraud in Auto Lending and How to Combat It

The Growing Threat of Fraud in Auto Lending and
How to Combat It

How intelligent decisioning can keep you ahead of fraudsters

As fraud continues to increase in the automotive industry, the impact it has on financial services providers and vehicle buyers is significant. Thanks to the high-value transaction of car buying, and a growing shift towards digital loan applications, fraudsters are finding increasingly sophisticated ways to exploit vulnerabilities in the system. And it’s working for them – automotive fraud is up by more than 50% this year versus last year. Auto lenders are caught in a high-stakes environment, forced to balance the need for instant loan approvals and seamless customer experiences with robust risk management and fraud prevention measures.

This need-for-speed in application processing, driven by consumer expectations and mounting competitive pressure, can create gaps that fraudsters are ready to exploit – putting your financial stability, profitability, and industry reputation at risk. So we’re looking at common fraud schemes, the impact fraud has on the auto industry, and actionable insights for technology-driven solutions that can help you combat fraud in an increasingly digital, high-risk world.

Why is fraud so prevalent in auto lending? There are several factors that make auto financing an appealing target for fraudsters:

  • High-Value:

    Auto loans tend to be high-volume and high-value, meaning successful scams can yield substantial financial rewards.

  • Consumer Demands:

    Today’s digitally-savvy consumers have high expectations of fast loan approvals and frictionless experiences. When same-day decisions are expected, lenders face pressure to prioritize speed over robust risk mitigation measures, creating gaps for fraudsters to slip through.
  • Digital Transformation:

    Further to consumer demands, the ongoing shift to online/digital applications exposes lenders to more sophisticated (and very rapidly evolving) digital fraud schemes, including identity theft and synthetic IDs.
  • Economic Uncertainty:

    Fluctuations in vehicle prices, interest rates, inflation, and economic instability often results in desperation and opportunism, prompting both professional fraudsters (including organized crime rings) and financially strained individuals to engage in fraudulent activities.
It’s a perfect storm, making the automotive industry as a whole, and in particular lenders/financial services providers, increasingly vulnerable to fraud.
The Many Faces of Auto Lending Fraud – And Their Impacts
Fraud in the industry takes on many forms, each posing unique challenges to lenders – and requiring unique tactics to fight it. But what these schemes show is that the complexity and evolving nature of fraud requires advanced detection and prevention measures.
  • Application/First-Party Fraud: Where individuals use false identities or fabricate employment/income info to qualify for loans they wouldn’t otherwise be approved for. Fraudsters might fabricate pay stubs or employers, making it challenging for lenders to verify legitimacy of loan applications. Nearly 80% of all auto fraud cases involve first-party fraud.
  • Synthetic Identity Fraud: Even more insidious (and on the rise – there was a 400% increase in synthetic ID fraud in the automotive industry this past year), synthetic ID fraud involves creating entirely new identities, combining real and fictional info (i.e. mixing a real Social Insurance/Social Security number with fake personal details). Synthetic IDs often have clean credit histories, making them difficult to flag and enabling fraudsters to secure significant loans before disappearing.
  • Dealer Fraud: Dishonest car dealers can collaborate with fraudsters, inflating the price of vehicles or falsifying loan documents to secure higher financing amounts, leaving lenders at risk when the loan defaults
  • Title Washing: This involves the alteration of a vehicle’s title to hide its history of accidents or salvage status – misleading both lenders and potential buyers and making a car appear more valuable than it actually is.
  • Re-Vinning: Involves removing the original Vehicle Identification Number (VIN) from a stolen vehicle and replacing it with a counterfeit VIN from a legally registered vehicle; disguising the stolen vehicle’s true identity and allowing fraudsters to sell/register it without suspicion.
  • Loan Stacking: When individuals apply for multiple auto loans simultaneously, often across different lenders. Securing multiple loans before credit bureaus or financial services providers have time to update records means that fraudsters can walk away with several financed vehicles, leaving lenders on the hook to recover losses.
The impacts of fraud affect financial institutions and the broader automotive industry with significant consequences for both lenders and consumers, including:
  • Financial Losses: Auto lenders and financial services providers collectively lose billions of dollars annually (estimated at nearly $8 billion in 2024) thanks to fraudulent activities. This affects profitability of course, but also creates a ripple effect with higher interest rates and less favorable loan terms for consumers as lenders try to offset their risk.
  • Operational Strain: Detecting, investigating, and managing fraud cases can require substantial resources (human and financial) and a large time investment. This can lead to inefficiencies in day-to-day operations of your business, diverting attention from core business functions.
  • Reputational Damage: Fraud incidents can erode consumer trust and loyalty, and expose lenders to regulatory scrutiny, tarnishing brand image and leading to further financial and operational repercussions.
  • Market Impact: Widespread fraud can contribute to inflated vehicle prices and exacerbate loan risk concerns, deterring both lenders and buyers, leading to declining car sales and impeding market growth.
Combating these challenges requires a concerted effort from the industry as a whole to implement proactive, efficient fraud prevention measures – and ensure the integrity and profitability of your business.
Staying Ahead of Auto Fraud: Best Practices and Solutions
A multi-pronged approach that combines advanced technology, collaboration, and strategic best practices is key to effectively combat the threat of fraud while still balancing operational efficiency and customer satisfaction.
  • Advanced Data Analytics:

    Leveraging data-driven insights is essential in early detection of fraud. Advanced data analytics tools can flag unusual application behaviors (discrepancies in reported income, recurring patterns linked to synthetic IDs, etc.). Analyzing vast datasets allows lenders to identify even the must subtle indicators of fraud that would be difficult to catch through manual reviews, enabling you to more effectively minimize potential losses.
  • Identity Verification Tools:

    Modern IDV tech plays a crucial role in authenticating applicant info. Tools that use biometrics, document verification, and cross-reference with government databases help ensure applicants really are who they say they are. These tools help auto lenders avoid false positives, improving the accuracy of fraud detection and maintaining a frictionless approval process for genuine customers. This allows you to significantly reduce fraud risks, while still supporting a satisfying customer experience.
  • Fraud Detection Software:

    Integrated fraud risk decisioning software helps you streamline and strengthen fraud prevention measures through automation. Incorporating real-time decisioning and machine learning models that can adapt to evolving fraud tactics allows you to detect anomalies instantly and automate repetitive tasks, helping lenders save time and resources. This boosts overall operational efficiency, allowing your teams to focus on higher-value, more strategic tasks while maintaining compliance with relevant regulations.
  • Cross-Industry Collaboration:

    Sharing fraud intelligence and best practices with other lenders and financial organizations in a variety of verticals can help everyone stay informed of new fraud schemes and threats. Cooperation greatly strengthens defenses and ensures a proactive approach to emerging fraud tactics, allowing you to stay one step ahead.
  • Continuous Monitoring:

    Effective fraud prevention doesn’t stop at the application stage. Continuous monitoring of loan portfolios and borrower behavior can help you detect fraudulent activity across the customer journey before it escalates. Monitoring tools that use AI to analyze account patterns and identify signs of fraud helps you protect your business, maintain customer trust, and ensure longer-term financial health.
Key Capabilities to Consider in Fraud Solutions
When selecting fraud detection tools, look at prioritizing the following capabilities:
  • Real-Time Decisioning:
    Instant assessments to flag potential fraud before loan approvals and minimize false positives
  • Machine Learning:
    Adaptive models that learn from fraud attempts to refine detection methods
  • Automation:
    Tools that streamline application processing and fraud checks to improve efficiency and reduce manual workload, while ensuring compliance with relevant regulations

  • Seamless Integration:
    Software solutions that work seamlessly with existing systems to enhance your current fraud prevention methods – and ensure a frictionless customer experience
Future-Proofing Your Fraud Strategy With Provenir

Investment in the right technology is key to a successful, proactive approach to fraud and risk management. The foundation of future-proofing lies in adopting scalable, cloud-based solutions that are capable of adapting to changing fraud threats. Cloud-based platforms offer you flexibility and real-time updates, while AI-driven tech enhances fraud detection by rapidly and accurately analyzing large datasets to identify subtle, complex patterns that can otherwise slip through the cracks. And advanced AI tools will continuously learn from your fraud decisions, allowing you to refine fraud detection processes and stay ahead of fraudsters.

Provenir’s AI-powered fraud solutions offer you:

data

Data Orchestration

Bring your own data or connect to one of our market leading partners using Marketplace integrations

icon-decisioning

Decisioning

Real-time assessments, advanced analytics tools, and machine learning models to deliver intelligent fraud decisioning flows

icon-documents

Case Management

Streamlined referral handling and frictionless investigations

decision intelligence

Decision Intelligence

AI-powered insights to understand and optimize strategy performance

Striking a balance between fast loan approvals and thorough fraud checks is essential. Integrating automated systems for real-time decisioning while maintaining robust case management for complex cases is key, alongside orchestrating data effectively and leveraging intelligent insights for faster, more accurate fraud decisions. By embracing advanced, scalable decisioning technology, you can fortify yourself against both current and future fraud threats – boosting operational efficiency, ensuring security and compliance, and delivering your customers a seamless, secure experience in their automotive journey.

Discover how Provenir’s robust fraud solutions can optimize your auto lending strategy.

Learn More

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News: How Banks Can Avoid Tech Bloat to Boost Efficiency, Security, and Innovation

How Banks Can Avoid Tech Bloat to Boost Efficiency, Security, and Innovation

Technology is an enabler of growth, but it can also be a hindrance to efficiency. When you’ve accumulated outdated, redundant, or overly complex tech systems, you may feel the pressures of ‘tech bloat.’ Check out the recent article with FinTec Buzz, where Brendan Deakin, Provenir’s General Manager of the U.S. shares his thoughts on how to reduce tech bloat in order to improve efficiency, security, and innovation.

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AFN webinar

Webinar: Mitigating Application Fraud in Africa

Mitigating Application Fraud in Africa: A Holistic Approach with a Decision Platform

Book a Meeting

The African market, characterized by rapid digital growth and increasing financial inclusion, is facing a surge in application fraud. Traditional fraud prevention methods are struggling to keep pace with the evolving tactics of fraudsters. This webinar will explore how a holistic onboarding decision platform can revolutionize fraud prevention in Africa.

We will discuss the key challenges of application fraud in the African context, including identity theft, synthetic fraud, and social engineering attacks. We will then delve into how a decision platform can address these challenges by:

  • Orchestrating rich data: Leveraging diverse data sources to gain a comprehensive view of applicants and identify suspicious patterns.
  • Creating complex rules: Developing sophisticated rules to detect anomalies and flag potential fraudulent activities.
  • Incorporating machine learning: Utilizing machine learning algorithms to continuously learn from new data and adapt to emerging fraud trends.
  • Enabling effective decisioning: Providing a case management system that facilitates efficient investigation and resolution of fraud cases.

By adopting a holistic approach with a decision platform, organizations can enhance their fraud prevention capabilities, protect their businesses, and ensure a positive customer experience in the dynamic African market.

Moderator

Adrian Pillay

Provenir

Director of Sales, MEA&T
Panelists
  • Mariama Jalloh-Heyward

    Mariama Jalloh-Heyward

    Alliance for Innovative Regulation (AIR)

    Program Director
  • Jason Abbott

    Jason Abbott

    Provenir

    Director of Fraud Solutions

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AI, Financial Crime, and the Battle for Control: Who’s Winning the Arms Race?

As always, the battle between financial services providers and fraudsters wages on. But increasingly, the weapon of choice on both sides is Artificial Intelligence (AI). As both financial leaders and fraudsters face rapid technological advancement, the arms race is heating up – and the stakes have never been higher. Check out the article from Sophia Qureshi, Provenir’s VP of Product Management, Fraud Solutions in CIO Influence, where she shares key insights on the AI revolution in finance – and how financial institutions can win the war against fraud.

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The Role of Advanced Identity Verification in Effective Fraud Prevention

The Role of Advanced Identity Verification in Effective Fraud Prevention

Unlock growth while fighting fraud with a complete identity verification solution.
  • Tom Hidock
    Director, Global Partnerships,
    GBG IDology

Preventing fraud and building trust with customers has evolved over the years. The global market recognizes this and views customer trust and security strategically, with 65% of businesses indicating that identity verification and fraud protection activities are differentiators that can drive revenue.

GBG IDology has an extensive history of tracking fraud data, which gives us a unique perspective on trends not seen elsewhere in the market. Our latest Global Fraud Report: 9th Edition explores customer experience and fraud prevention in the age of artificial intelligence The report’s insights are significant for businesses trying to stop new types of fraud while making things easier for their customers.

These insights show that companies must instill trust along the customer journey. Achieving this means using an identity verification platform powered by onboarding intelligence, cross-industry expertise and enhanced data sources to quickly and responsibly verify identities.

Rethinking Digital Identity Verification

So, how can businesses do more with less data and deliver seamless digital experiences that exceed customer expectations without increasing the risks of fraud?

The solution lies in rethinking digital identity verification (IDV). Meeting modern demands requires digital identity verification that can:

  • Look across multiple data sources. Over 50% of companies reported an overall increase in fraud across mobile, online, contact centers, and in-person channels. As fraudsters continue to exploit an interconnected system of online and offline channels, a holistic, layered approach to IDV is essential.

    A solution utilizing diverse sets of enhanced data sources can quickly verify consumer identities without excessive data collection. By analyzing less invasive information like IP addresses, phone numbers, and email addresses, companies can conduct ‘soft’ KYC checks to evaluate risk.

    When these solutions are a part of a greater verification strategy, businesses also gain detailed feedback on identity checks. Incorporating additional solutions such as biometrics-based verification and documentation authentication ensures businesses have more inclusive ways to deliver the right verification experience at the right time. This layered approach provides transparency into onboarding decisions needed to meet compliance checks and regulatory needs, without adding unnecessary friction.

    A recent success story illustrates the power these solutions can have. A business came to GBG IDology looking to overcome increasing customer acquisition costs. After effectively implementing the right solutions for their needs, the client was able to conduct thorough risk assessments and customize journeys for new clients. This resulted in a 5:1 return on investment and allowed the client to convert more leads, accelerating loan approvals without increasing friction or fraud, which also resulted in increased cost savings.

  • Offer visibility into cross-industry intelligence. Fraud moves between industries and across borders indiscriminately, specifically synthetic identity fraud (SIF). Moreover, our recent fraud report found that 74% are concerned about the potential for SIF to increase.

    An extensive cross-industry network enables different institutions to benefit from fraud data and learnings elsewhere in the ecosystem, securing the whole network more effectively.

    Utilizing cross-industry intelligence amplifies real-time fraud intelligence between companies in the network anonymously, giving companies insight into fraud threats trending in other industries.

    Firms can then build a complete fraud intelligence ecosystem, empowering them to make smarter decisions faster about identities. With deeper, cross-industry onboarding intelligence, companies can identify trusted borrowers while adding step-up authentication to those needing an extra touch.

  • Combine AI with human fraud expertise. With its ability to scrutinize vast volumes of digital data quickly, AI can automate the discovery of threats for faster, enhanced decision-making, but it’s not foolproof. Business leaders reported generative AI to be the biggest trend in identity verification over the next 3-5 years. When asked why, leaders cited the tech’s potential to create more accurate synthetic identities, increase the volume of phishing/smishing and generate more convincing fake IDs.

    Additionally, AI alone can’t provide the transparency companies need to explain to regulators why a decision was made, produce an auditable trail showing policies were followed during onboarding and better train the machine learning models that power it.

    The combination of AI and human fraud expertise eliminates these issues. Fraud analysts provide oversight and closed-loop transparency for continuous improvement and optimization. Fraud analysts are also invaluable in providing first-hand, expert insight into the fraud they’re seeing in the marketplace and best practices for preventing it in the future.

Trusted intelligence to unlock growth

This balance of security and convenience remains the ultimate challenge, beginning during onboarding. Layered identity verification solutions are a critical technology that can empower firms to evaluate consumer risk while staying competitive. With the right solution in place, companies can deliver a seamless and secure borrowing experience that builds trust and leads to loyalty for long-term growth.

Check out IDology’s Global Fraud Report: 9th Edition to gain more insights into building trustworthy customer journeys that keep fraud out.

Discover how Provenir’s AI-Powered Decisioning Platform can enable more accurate fraud detection.

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Provenir Launches Onboarding Fraud Solution to Fight Back Against Fraudsters, Minimizing Losses While Safeguarding Customer Experience

NEWS

Provenir Launches Onboarding Fraud Solution to Fight Back Against Fraudsters, Minimizing Losses While Safeguarding Customer Experience

AI-powered risk decisioning platform connects fraud scores, identity checks and device validation, integrating multiple layers of fraud detection into decisioning workflows to mitigate threats at application screening, including synthetic fraud, impersonation and mule indicators

PARSIPPANY, N.J. — (BUSINESS WIRE) — As the financial services world becomes increasingly digitized and consumer demands evolve, fraudsters and their methods are becoming more sophisticated. Provenir, a global leader in AI-powered risk decisioning software, is helping organizations fight back by detecting these emerging threats via sophisticated decisioning tools and advanced analytics to increase fraud detection while minimizing friction in the customer journey.

Identity theft and synthetic identities continue to be major concerns and will account for roughly half of all financial services fraud cases by 2025. Also, in a global survey of financial services executives, 43 percent said identifying fraud is a top challenge, yet only 7 percent report their anti-fraud measures are completely effective. This emphasizes the need for powerful fraud solutions that offer flexibility, putting control in the business user’s hands.

Provenir is on a mission to help businesses navigate this increasingly complex landscape and has collaborated with best-of-breed third-party providers to bring a fraud onboarding solution to market. Provenir’s AI-Powered Decisioning Platform enables organizations to stay ahead of fraud threats, with readily available data sources that can be easily integrated into decisioning workflows, AI model creation and monitoring, to continuously optimize fraud risk models, with configurable rules to respond quickly when new threats arise.

Selecting, integrating and managing different third-party data sources for effective fraud screening is difficult. The Provenir platform integrates and manages multiple data sources or end point solutions within one platform for fraud decisioning. This extensibility and flexibility enables organizations to create custom strategies integrating the best performing third-party data as fraud risks and behaviors change and new vendors and offerings come to market.

The AI-powered risk decisioning platform connects fraud scores, identity checks and device validation, integrating multiple layers of fraud detection into decisioning workflows to mitigate threats at application screening, including synthetic fraud, impersonation and mule indicators. This also eliminates siloed environments between credit and fraud risk teams, to ensure holistic, end-to-end decisioning with a complete view of customers across the entire lifecycle.

“Fraud prevention is a crucial area of focus for today’s progressive financial institutions,” said Sophia Qureshi, Vice President of Product Management, Fraud Solutions, Provenir. “This requires an intelligent approach that reduces unnecessary (and unwelcome) friction to the customer journey. This underscores the value of having a single integrated, intelligent decisioning platform that can analyze and manage all fraud and credit risk across the customer lifecycle. This helps balance better, more accurate application fraud detection and prevention with reduced friction across the lifecycle while powering sustainable business growth.”

Provenir will host a webinar on June 27 on steps financial institutions can take to achieve accurate application fraud detection and prevention with reduced friction across the lifecycle. The webinar will outline how an integrated, intelligent decisioning platform can manage all risk and include a demonstration of Provenir’s fraud solution. To register for the webinar, please visit: https://provenir.zoom.us/webinar/register/1717187233802/WN_SZVzXT3mTnuxp-V9bsQtzw

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Optimized Application Fraud Prevention: Reduce Friction and Prevent Loss

ON-DEMAND WEBINAR

Optimized Application Fraud Prevention:
Reduce Friction and Prevent Loss

How an integrated, intelligent decisioning platform can manage all risk

Fraud threats continue to rise. Which is why financial services organizations need to continually evolve to say ahead of fraudsters. But stricter controls aren’t the only answer, because you run the risk of shutting out creditworthy customers or adding unnecessary (and unwelcome) friction to the customer journey. So how can you balance better, more accurate application fraud detection and prevention with reduced friction across the lifecycle and sustainable business growth?

A single integrated, intelligent decisioning platform that can analyze and manage all fraud and credit risk across the customer lifecycle. Join us live on June 25th as our Provenir experts share insights and guidance on how to reduce friction, prevent losses, and ensure your fraud prevention strategy can keep up with evolving threats.

Key takeaways:

  • Current fraud trends, including challenges and opportunities
  • Ways to mitigate fraud with better data orchestration
  • Why eliminating siloed environments between your fraud and credit risk teams enables a more holistic view of your customers across the lifecycle
  • How to balance customer experience and application fraud prevention with dynamic, responsive application and onboarding methods
  • Why a cloud-native, flexible, scalable solution enables continuous evolution alongside changing fraud threats
  • How embedded intelligence can optimize your data orchestration and fraud decisions
  • Demo of the Provenir Fraud solution

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Speakers:

  • Sophia Qureshi

    VP of Product Management, Fraud Solutions, Provenir

  • Sam Rohde

    Director of Presales, North America, Provenir


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On-Demand: How Consumer Lenders Can Reduce Friction Without Compromising on Risk and Fraud Prevention

ON-DEMAND WEBINAR

How Consumer Lenders Can Reduce Friction
Without Compromising on Risk and Fraud Prevention

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Customer experience is incredibly important to today’s discerning consumers, whether they are looking for financial services or any other product. Reducing friction at onboarding and across the entire customer journey is critical for consumer lenders – but how can you do that without compromising your risk strategy or increasing your risk of fraud? Watch on-demand now, and hear from our panel of experts who share insights and best practices for reducing friction, so you can effectively balance risk with opportunity – and grow your business.

Key highlights include:

  • How advanced risk decisioning solutions can more effectively enable end-to-end account management
  • Why orchestrating and integrating the right data, including alternative data, is key to making more accurate decisions across the lifecycle
  • How a decision intelligence platfrom, including AI/ML, can help mitigate losses, improve fraud decisioning, and maximize portfolio performance
  • Ways to ensure frictionless, end-to-end onboarding experiences with expedited case handling for manual exceptions
  • Why dynamic, proactive customer management is key to maximizing customer value and optimizing engagement

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  • Rob Seidman

    US Bank Chief Product Officer
  • Adam Goller

    Cross River Bank
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    Avant
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Maximizing AI/ML for Fraud and Risk Mitigation

Blog

Maximizing AI/ML
for Fraud and Risk Mitigation

  • Jason Abbott, Senior Product Manager, Fraud Solutions
  • May 6, 2024

How to Harness Artificial Intelligence and Machine Learning for Comprehensive Fraud Protection

The battle against fraud and risk in financial institutions is complex, and it’s always changing. And fraud doesn’t start and end with the onboarding of applicants – it’s a continuous challenge that demands evolving strategies. This is why it’s critical to look at risk decisioning solutions, including artificial intelligence and machine learning, that can access real-time data across the journey – tackling fraud screening not just at the application stage, but throughout the entire customer lifecycle.

Real-time data for real-time decision making

Artificial intelligence and machine learning (AI/ML) play a pivotal role in detecting and preventing fraudulent activities. With financial fraud methods becoming more and more sophisticated, one key way to stay ahead of fraudsters is accessing real-time data, integrating it into your risk decisioning solutions, and automating the use of that data with AI/ML. In this way, you can react swiftly (and accurately) to ever-evolving fraud threats. 

But it’s critical to balance fraud mitigation with the customer experience. While admittedly powerful technology, AI/ML requires more than just advanced algorithms and risk models – it needs a comprehensive understanding of the overall decisioning operations, customer experience, and the regulatory and compliance landscape of financial services organizations in the regions you operate. An effective fraud decisioning model needs to not only intercept fraudsters, but it needs to be sure that it doesn’t introduce more friction for legitimate customers. Tightening the net on fraudsters isn’t the most optimal answer – we need to ensure that embedded intelligence is working efficiently to keep out the bad actors while still extending the right products and offers to a growing number of creditworthy customers.

Intelligent use of data throughout the customer journey

A common challenge that financial institutions face is the underutilization of valuable customer data that gets collected during the application process. Rather than discarding this data, it should be integrated into ongoing monitoring programs and used to enhance risk mitigation strategies, especially during high-risk events. For example, take the case of mule account detection, where initial application data contains the right indicators that help approve an applicant. But with ongoing monitoring as new data becomes available, financial institutions could intervene later if new suspicious activity is tracked. With a set-it-and-forget-it mindset and the lack of ongoing monitoring, fraudsters can more easily slip through the cracks. As fraud methods become more evolved, the risk models needed to prevent fraud need to evolve as well. Many times, actors with ill-intent will use legitimate credentials to gain access to products and services and then pull a bait-and-switch when onboarded. Without the use of ongoing monitoring and the continuous intelligent, optimized use of risk data across the journey, these sorts of situations become difficult to catch until it’s too late. 

This is why adapting quickly to new threats is so critical. Flexibility and responsiveness are key things to look for in a fraud/risk decisioning solution, because with the adaptability to add new data sources, optimize risk models based on intelligence, and change decisioning processes easily, you are able to respond to threats more effectively. AI/ML models act like the central nervous system of a modern sports car, where every component must communicate and function in unison to effectively respond to changing conditions – in the case of a car it’s road conditions, weather conditions, engine temperature, etc. In the case of fraud mitigation, you need to ensure that you can adapt quickly without being bogged down by manual processes or IT backlogs to make changes.

Efficient data integration

Not all financial institutions have the ability to integrate extensive datasets into a smart, unified model or data lake. Whether it’s technical restrictions, resource issues, IT backlogs, or the challenges of merging disparate systems, there are many factors that can hinder efficient data integration. What’s needed is an effective fraud orchestration layer, combined with low-code or no-code capabilities, allowing you to adapt and innovate as quickly as threats do, giving you a significant competitive advantage (and again, helping to maintain a positive customer experience with limited friction). 

So what are the key things to consider when it comes to enhancing your fraud mitigation strategy by harnessing AI/ML? Think of the following:

    • Does your AI/ML model for application fraud provide reliable scoring and clear explainability?

    • Can you integrate fraud-rich data into your application fraud infrastructure?

    • How easily can you integrate new data sources in response to emerging fraud trends?

    • Are you able to leverage available data to address potential post-application fraud?

    With cutting-edge technology designed to empower financial institutions to not only respond to threats in real time, but also anticipate them before they can cause harm, decisioning technology that incorporates robust AI/ML solutions will ensure your organization (and your customers) remain secure and satisfied.

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    On-Demand: Decisioning Advanced: Integrating Intelligent Credit and Fraud Decisioning to Maximize Customer Lifetime Value

    ON-DEMAND WEBINAR

    Decisioning Advanced:
    Integrating Intelligent Credit and Fraud Decisioning to Maximize Customer Lifetime Value

    Book a Meeting

    Featuring Jim Marous of The Financial Brand

    Discover this dynamic on-demand webinar crafted for financial industry professionals seeking to enhance their approach to credit risk and fraud prevention while optimizing customer value.

    In this session, The Financial Brand’s Jim Marous and Provenir’s Chief Product Officer Carol Hamilton delve into how these smart technologies not only protect your organization from potential risks but also open doors to deeper customer engagement and retention strategies, ultimately boosting the lifetime value of your customers. 

    Key takeaways:

    • The strategic benefits of implementing intelligent decisioning systems that use advanced analytics like AI/ML to refine credit risk and fraud management
    • Insights and best practices needed to achieve a more agile, customer-centric business model
    • How to transform your financial institution into a forward-thinking powerhouse in today’s competitive landscape
    • How to integrate intelligent systems into existing operations and navigate the challenges of legacy systems

    Speakers:

    • Jim Marous

      The Financial Brand

    • Carol Hamilton

      Chief Product Officer, Provenir


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