Life insurance fraud can resemble an old detective movie: A super sleuth outsmarts a high-profile villain plotting to cash in on his billionaire partner's life insurance.  

This is the binge-worthy stuff of crime-night TV. The reality behind life insurance fraud today is often more complex. Today, life insurance fraud is often systematic; the domain of tech-savvy scammers operating complex identity theft across international borders.   

As fraudsters grow more advanced, insurers are matching them with powerful countermeasures for both detection and prevention. Working both in-house and with specialist partners, insurers apply cutting-edge data analytics, behavioral science, and the irreplaceable instincts of experienced investigators.

One of the fastest-growing challenges is synthetic identities — digital personas built from fragments of real and stolen data. With so much personal information circulating online and through data breaches, criminals can create lifelike identities complete with addresses, employment histories, and social media profiles. These fabricated personas can be used to buy insurance policies and later trigger false death claims.

As a specialist in international cases, Erick explained that fraud is no longer a solo act. Increasingly, it is part of larger criminal ecosystems also involved in trafficking or narcotics. At the same time, collusion among legitimate professionals adds another layer of risk. Doctors may forge medical records, or officials may validate false death certificates — creating a chain of seemingly legitimate evidence that supports fraudulent claims.

As an industry, we've gotten very good at detecting life insurance fraud. A large part of Swiss Re's work in this area is deploying tools to help claims teams detect and combat fraud. Through solutions like PromiseXP, we take a strong human-in-the-loop approach, allowing clients to blend human experience with digital intelligence.

Investigators have developed a deep understanding of what authentic identities look like compared to fakes. AI and data analytics can assist a claims handler by flagging anomalies in documents and claims submissions. When combined with expert judgment, these tools make fraudulent activity far easier to expose.

Artificial intelligence is also transforming efficiency. Machine learning can translate foreign-language documents, scan vast datasets for red flags, and prioritize cases for review. By automating routine checks, AI frees up time for claims specialists and investigators to focus on higher-value work — such as interpreting complex evidence or engaging directly with clients.

When it comes to helping insurers prevent fraud, measures can be put in place to make sure deception and misinformation is stopped long before a claim is filed. Underwriting procedures and in-force policy reviews are increasingly designed to detect fake applications or suspicious patterns early. Not all fraud is elaborate — sometimes, it’s as simple as non-disclosure of key health or medical information. In many cases this is accidental, which is why behavioral techniques now play an important role in guiding applicants to disclose accurate information from the start. Where technology aids the detection of fraud on paper, the human element adds a diverse understanding of the person behind fraudulent behavior.