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  • Research and White Papers
  • October 2024
  • 7 minutes

How Insurers Combat the Complexities and Challenges of Fraud

Results from the ˿ƵAPP/MIB 2024 US Life Insurance Fraud Survey

By
  • Colin M. DeForge
  • Leigh Allen
  • Trey Reynolds
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In Brief

Fraud is a lingering concern for US life insurance carriers, presenting a myriad of challenges. Through the 2024 US Life Insurance Fraud Survey, conducted by ˿ƵAPP and MIB, 25 carriers shared their pain points, and detection and prevention practices. The resulting insights can help sketch a blueprint for combating this pervasive risk.

Key takeaways

  • The insurance industry loses an estimated $75 billion annually to fraud, affecting both policyholders and carriers.
  • Upskilling underwriters to spot anti-selective behavior and fraud early in the process is crucial for detection and prevention.
  • Future innovations to combat fraud include the increased use of contributory data sources, AI tools, and the ongoing evolution of application questions to improve the likelihood of full disclosure.

 

The trifecta of fraud, misrepresentation, and anti-selection has a profound financial impact on the insurance industry, but the costs spread even further. The ripple effects span from increased premiums for policyholders to decreased profits for carriers. It is estimated to cost each US household around $600 annually in increased premiums to offset these losses. Therefore, it is vital to identify and implement effective approaches to mitigate the risks.

To that end, ˿ƵAPP teamed with MIB, an industry leader in data insights and digital solutions, to survey US life insurance carriers. The findings provide observations into the impact of fraud on their businesses and their perspectives on detecting and combating it.

˿ƵAPP conducted a similar survey in 2016, allowing for a measure of comparison and a view into the evolution of insurance fraud over that time.

Challenges with fraud

Survey respondents were asked to rate their level of concern with different types of fraud, as well as the difficulty of detecting them and the cost to combat each type.

Level of concern

The largest area of concern rests with medical misrepresentation – an applicant providing untrue or incomplete medical information. It had an average ranking of 4.0 on a scale of five, where one is not at all concerned and five reflects the highest level of concern.

Stacking – when an insured pursues multiple policies to increase their coverage – was positioned next by carriers (3.0). The 2016 survey found agent fraud as the second-highest concern

Listed third, with a 2.9 average ranking, was criminal fraud (e.g., forgery, falsifying underwriting evidence, fake death).

Level of detection difficulty

Several types of fraud are considered particularly difficult for insurers to flag.

Respondents chose rebating (3.6) as the most difficult to detect. This is defined as returning a portion of the premium or agent/broker’s commission to the insured to entice business with a specific insurer.

Criminal fraud and community fraud (when travelers or nomadic people conspire to conceal an insured’s illness or medical condition) tied as the second most difficult to detect (3.3).

Cost to detect and combat

The insurance industry deploys significant money and resources to detect and combat fraud. Insurers listed medical misrepresentation (3.2) as the costliest. This was followed by criminal fraud (2.6) and non-medical misrepresentation (2.5), such as career omissions, adverse driving histories, and/or aviation-related non-disclosures.

The impact of fraud

Ninety-six percent of insurers that offer accelerated underwriting (AUW) products are concerned about fraud. For the purposes of the survey, AUW is defined as a fully underwritten process by which certain requirements are waived for a portion of applicants who demonstrate favorable risk characteristics. To offset the associated cost, 65% of these respondents limit the policy face amounts and implemented specific age parameters. Some carriers also increase eligibility requirements, including health and medical history.

The most common ranked medical misrepresentation associated with AUW policies related specifically to tobacco use, followed by other types of misrepresentations. Survey findings showed an estimated average of 22% of cases are eliminated from the AUW process due to discrepancies between disclosures and the evidence collected. Respondents also indicated they are limiting the amount of written AUW business to minimize the volume and/or the cost of misclassification. There is a greater use of protective value requirements in the AUW triage process or criteria.

Fraud concerns are hindering online insurance distribution, with 10% of insurers indicating they lack the risk appetite. Of those offering this type of distribution, 60% limit policy face amounts and have age restrictions to guard against anti-selection risk.

Man and women looking over insurance information
While the survey produced a wealth of information, this article focuses on only a few of the intriguing highlights. Explore the full report for a more comprehensive look at the results and to see what tools the industry is using.

The power of people

Life insurers are striving to form a strong defense to prevent fraud. The ˿ƵAPP/MIB survey found that a vast majority of respondents – 84% overall – have designated investigative individuals or teams to detect and respond to fraud. Of those, more than half use a Special Investigation Unit (SIU).

These teams are comprised of an average of five full-time employees. This is a significant increase from the 2016 survey findings, where carriers averaged only one full-time employee dedicated to fighting fraud.

Looking inside the toolbox

Insurers have made a concerted effort to incorporate more tools as part of their fraud prevention measures. Since the 2016 survey, the available options have grown exponentially in capability and count.

Nearly all respondents reported they use prescription histories and the MIB Checking Services and/or Insurance Activity Index (IAI) to detect and mitigate fraud in life insurance applications. More than 80% of carriers also use electronic health records, MIB Plan-F, and criminal history checks. Another seven methods, ranging from credit-based risks to online services (e.g., Zillow, Google Street View, etc.), are employed by more than 60% of carriers, showing the range of tools deployed to combat fraud.

Insurers are exploring additional options to include in this fight. MIB In Force Data Solutions (Jumbo and/or Total Line) and identity verification ranked highest as new tools.

Underwriting remains the front line in the battle against fraud, especially agent fraud. The survey found more than 80% of carriers have intensified underwriting training to help identify red flags and have increased their use of the MIB databases.

Algorithms and analytics

Nearly one-third of respondents use algorithms or analytics tools to flag questionable underwriting applications. This is three times the number noted in the 2016 survey, which is not unexpected given technology advancements over the past eight years.

Reported examples include:

  • Unusual activity reports
  • Reviews of pending and in-force policies
  • Risk classifier tools
  • Credit scoring tools

More than 70% of insurers are interested in using data analytics or technology-based tools to detect fraudulent applications. While only 5% of carriers use AI to combat fraud at this point, another 24% are actively exploring AI solutions.

Insurers would consider additional underwriting tools but lack the necessary data for them to be effective. These tools include:

  • Foreign national IDs and citizen checks
  • Credible criminal background checks
  • Verification of income and net worth
  • Visa information
  • AML risks
  • Better employment checks
Woman sitting at a desk working on a laptop
˿ƵAPP experts are eager to engage with clients to better understand and tackle the industry’s most pressing challenges together. Contact us to discuss and to learn more about ˿ƵAPP's capabilities, resources, and solutions.

Glimpsing into the future

Insurers are expecting further innovations to emerge over the coming years to mitigate fraud, according to the survey.

Data and data sources

  • Biometrics to validate an applicant’s identity
  • Trustworthy databases for financial and medical histories
  • Less traditional data sources to predict risk factors

Artificial intelligence

  • AI-detection of unusual patterns of behavior
  • Solutions for identifying a questionable business
  • Using AI for a scored case evaluation as part of a simplified issue/AUW offering

Fraud risk assessments

  • Incorporating more data sources for application questions to ensure the disclosure of known conditions or activities
  • Utilizing income and net worth verification tools to detect financial fraud, as well as tools for identifying tobacco fraud and height/weight discrepancies
  • Developing the capability to flag fraudsters on underwriting platforms before application submission

What to do next

Taking a holistic view of the survey results, ˿ƵAPP recommends four key best practices.

  1. Engage with customers to achieve accuracy: Carriers should refine the customer journey by implementing behavioral science techniques to encourage customers to submit accurate applications and discourage misrepresentation. Assistance from an examiner could also aid in this process.
  2. Enhance detection capabilities: Another weapon in the battle against fraud is ongoing underwriting training to recognize red flags, as well as the use of MIB databases. Underwriting rules engines must be modernized to align with fraud detection tools.
  3. Stay on top of fraud-detection innovations: It is imperative that insurers expand the utilization of data-driven tools, algorithms, and industry databases. This can help mitigate the financial burden of anti-selection.
  4. Monitor in-force policies: The practice of post-issue monitoring for anti-selective patterns should continue. This includes using resources such as MIB’s In Force Data Solutions (Total Line and Jumbo), MIB Codes, IAI, medical claims data, prescription history data, and Plan-F.

Conclusion

Fraud presents a credible and persistent threat to the life insurance industry. The absence of a single all-encompassing solution may make thwarting fraud seem daunting. Yet a concerted effort by carriers can enable better detection and prevention. This involves using enhanced resources, training, tools, and data sources.

This includes contributory databases such as MIB’s Data Vault. As more insurers participate in this industry-wide resource and scale increases, the database will enable a more robust exploration of anti-selective behavior and fraud. Without such tools, an individual insurer has very limited ability to detect policies held with other carriers. Collectively identifying “red flags” can enable insurers to ask more questions of applicants and reduce fraud risk. Learn how to get started.


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Meet the Authors & Experts

Colin-Deforge
Author
Colin M. DeForge
Vice President, Underwriting, US Underwriting, US Individual Life
Leign Allen
Author
Leigh Allen
Associate Vice President, Strategic Research
Trey Reynolds
Author
Trey Reynolds

Executive Vice President, Strategy & New Business Development, MIB, Inc.