The life insurance industry has always grappled with some degree of fraud. It might be as lurid as a murder-for-insurance scheme, or as mundane as concealing an illness, but it usually took place on a relatively small scale that lent itself to case-by-case investigation.
That, however, is decidedly not the current status quo. Accelerated underwriting (AUW) and other digital-first initiatives have collided with the rise of criminal rings taking advantage of black-market “fraud as a service” (FaaS) vendors, stolen personal identification, and powerful new generative AI tools to conduct life insurance fraud cost-effectively, at scale. This has placed a significant strain on existing life insurance fraud detection systems and highlighted a need to arm SIU teams with updated, more flexible tools in response.
Here, we explore the state of life insurance fraud in 2026 as well as ways to empower investigative teams to resolve cases efficiently and at scale.
The Scale of Leakage From Life Insurance Fraud
The scale of insurance fraud is staggering across the industry as a whole. A study from the National Association of Insurance Commissioners (NAIC) reported that an estimated $308 billion a year is lost to fraud across the industry as a whole — with the life insurance sector accounting for the largest portion of that loss at just under $75 billion per year. That figure is dwarfed by annual life insurance revenues, which reached $1.4 trillion in 2024 (the most recent data available at the time of publication).
But a more telling comparison is its relationship to industry profits. The National Association of Insurance Commissioners reported the life insurance industry profited just $23.5 billion in that same year (a 25.3% decline from 2023’s profits). With fraud leakage accounting for more than triple the industry’s retained profits, the scale of the problem is undeniable. Aside from those direct losses, investigation costs and claim delays (with the corresponding possibility of reputational damage) also impair operating revenues.
The upside to these statistics, such as it is, is that companies investing in improved investigative tools and techniques are likely to experience excellent return on their investment, in the form of improved margins.
Common Forms of Life Insurance Fraud
Life insurance fraud may be committed by a number of parties, including (but not limited to) criminal rings, unethical agents or brokers, and even genuine policyholders. Those fraudulent activities are similarly diverse, but some forms of fraud are more prevalent than others.
Identity Theft
In traditional impersonation schemes, fraud actors may use stolen personal information to apply for policies or file claims under another person’s name. A related tactic involves combining legitimate data elements with fabricated details to create account profiles that appear plausible during digital enrollment or claims submission. AUW, simplified enrollment, and direct-to-consumer (DTC) issuers are especially susceptible to this form of fraud.
In mid-2025, the National Insurance Crime Bureau released a report stating that the use of identity theft in insurance-related crime was expected to rise by nearly 50% by the end of the year. While it is still too early to tell if this prediction played out, it does demonstrate the scale of the threat to life insurance firms.
Policy Stacking
In this form of fraud, real or synthetic applicants apply for coverage across multiple insurers within a short timeframe. This allows them to use multiple small policies to generate a level of death benefits that would ordinarily trigger more underwriting scrutiny.
Synthetic Personas Mass-Applying for Coverage
This is a variation on the policy stacking scheme. Here, criminals use a cluster of synthetic personas generated from the same dataset with just enough differences between them that they appear to be separate individuals when applying via AUW. The criminal ring controlling those identities can then capture the value in those policies at its leisure, without them appearing to be connected.
Beneficiary Manipulation
Beneficiary manipulation can take a number of forms. In some cases, a policyholder who’s no longer mentally competent may be swayed to sign off on a change that benefits one beneficiary over others, or names a beneficiary (often a family member or caregiver) who is in a position to exert coercion or undue influence over the insured. Account takeovers orchestrated by criminals can also result in beneficiary manipulation, as they replace the policyholder’s beneficiaries with themselves (or a mule).
Outright Criminal Fraud
This is a catchall term for efforts that are inherently criminal in their own right. They might include the forging of signatures on applications or beneficiary changes, providing forged or falsified medical information (as opposed to simple non-disclosure), or faking the death of the insured. This can be especially problematic when the alleged death occurs in a foreign country, which sharply increases the difficulties of verification.
The Gap in Insurance Fraud Investigation Tools
To be clear, the insurance industry’s existing fraud-detection tools remain highly functional. They’re the result of many decades of experience and provide an excellent framework to build on.
That said, once an insurer’s existing software stack identifies and flags an account as suspicious or potentially fraudulent, there remains a gap in the tools available to the SIU team. In a joint survey conducted in 2024 by MIB and RGA, insurers responding to the questionnaire frequently cited the need for new and enhanced data sources to complement the currently available tools.
A data enrichment source, such as Spokeo for Business, can provide additional contextual data signals that SIU teams may review when investigating potentially fraudulent activity.
Practical Applications of Contextual Data in Fraud Investigations
Enriched people data tools aggregate signals from a wide range of sources that go beyond what most internal databases and legacy tools typically collect. (In Spokeo’s case, those sources include public records, commercially licensed datasets, and other publicly available information sources.) By pairing this enhanced data with what is already in your systems, SIUs have a better chance at quickly resolving investigations.
- Breaking down synthetic fraud. Synthetic fraud typically combines valid information stolen from multiple people, along with fabricated details. Contextual data may highlight inconsistencies across data points associated with an application or claim, helping investigators review whether multiple records appear to align. Accounts showing that level of inconsistency are very likely to be synthetic and will fall apart under scrutiny.
- Detecting policy stacking and bulk applications. Enriched data providers like Spokeo excel at finding shared connections between apparently disparate accounts. Data enrichment tools may highlight patterns across applications that share overlapping data points, which investigators can review for potential connections.
- Establishing or casting doubt on connections between the policyholder and the beneficiary. Additional contextual data may provide information that investigators can review when assessing relationships or connections referenced in an application or claim. It can also return the search subject’s social media accounts, which can provide secondary evidence of connections. An absence of connections is not proof of wrongdoing, but does justify closer scrutiny.
Long story short? Using a tool like Spokeo for Business to surface additional contextual data signals can help investigators review inconsistencies more efficiently and provide additional context for SIU teams.
Technology Creates Problems, Technology Fixes Them
As we stated earlier in this article, the availability of off-the-shelf software for criminals and the rise of generative AI, among other factors, have made it possible to orchestrate life insurance fraud at scale.
To protect profits, reputation, and legitimate policyholders, life insurance SIUs need better data to empower their claim investigations. With its breadth of contextual data and robust API capabilities, Spokeo for Business can support SIU teams as they review suspicious activity and investigate potential fraud.
Reach out today to learn how Spokeo for Business can support your fraud investigation workflows with expanded contextual data and seamless integration into your existing systems.
Sources
National Association of Insurance Commissioners: Insurance Fraud
National Association of Insurance Commissioners: U.S. Life and A&H Insurance Industry Analysis Report
National Insurance Crime Bureau: NICB Projects 49% Rise in Insurance Fraud Linked to Identity Theft in 2025
International Claim Association: Fraud Claims Besetting the Life and Health Insurance Industry
RGA/MIB: US Life Insurance Fraud Survey Report