Device insurance fraud has become a growing challenge for insurers worldwide. What was once limited to opportunistic false claims has evolved into a sophisticated ecosystem of organised fraud, synthetic identities, and repeat offenders exploiting gaps in verification processes.
For insurers, the impact is significant, ranging from increased claims costs and operational inefficiencies to reputational damage and higher premiums for genuine customers. Traditional fraud detection methods (such as manual reviews, document checks, and post-claim investigations) are struggling to keep pace. Fraudsters are faster, more coordinated, and increasingly able to bypass outdated systems.
To stay ahead, insurers need a smarter approach. One that focuses on detecting fraud early and preventing it before a claim is paid.
Device insurance fraud occurs when an individual deliberately makes a false or exaggerated claim relating to a mobile device, such as a smartphone or tablet, in order to receive a payout or replacement.
This can happen at different stages of the insurance lifecycle (from policy sign-up to claims submission) and often involves misrepresentation of ownership, device status, or circumstances of loss.
While tactics continue to evolve, several common fraud patterns persist:
Claiming a device has been lost or stolen when it is still in the policyholder’s possession.
Deliberately damaging a device to trigger a replacement under insurance coverage.
Making repeated claims across different policies or providers using the same device or identity.
Using fake, stolen, or synthetic identities to take out insurance policies with the intention of claiming later.
Fraudsters take control of a mobile number to manipulate account access or support fraudulent claims.
Many insurers still rely on legacy fraud detection techniques, including:
While these methods have value, they are often:
Fraudsters exploit these weaknesses by using real-time tactics, such as recently activated numbers, SIM swaps, or short-lived identities that are difficult to detect using traditional tools.
To effectively catch fraud, insurers need to adopt a multi-layered approach that combines behavioural insights, data validation, and real-time intelligence.
Ensuring that the policyholder is genuine from the outset reduces the risk of fraudulent policies entering the system.
Mobile numbers can reveal important signals, such as whether a number is active, recently changed, or potentially high risk.
A sudden change in SIM ownership may indicate account takeover or fraudulent intent.
Patterns such as frequent claims, mismatched data, or inconsistencies in reporting can signal fraud.
The most effective fraud detection strategies rely on live data, not static snapshots.
Mobile numbers are one of the most reliable digital identifiers available today. Unlike email addresses or documents, they are directly linked to real-world usage and network activity.
By leveraging mobile network intelligence, insurers gain access to real-time insights such as:
This allows insurers to move from reactive fraud detection to proactive fraud prevention, stopping fraudulent activity before it leads to financial loss.
Modern fraud challenges require modern solutions. Verify, developed by TMT ID, enables insurers to validate mobile identity and detect risk using real-time network data. Instead of relying on static checks, Verify provides live intelligence about mobile numbers, helping insurers make faster and more accurate decisions.
By integrating these capabilities, insurers can significantly reduce fraud exposure while maintaining a seamless customer experience.
| Capability | Benefit for Insurers | Business Impact |
| Real-time mobile number validation | Confirms genuine customers instantly | Reduces fraudulent policy sign-ups |
| SIM swap detection | Identifies suspicious account activity | Prevents account takeover fraud |
| Number status and activity checks | Verifies active and legitimate numbers | Improves claims accuracy |
| Risk scoring | Flags high-risk users early | Enables smarter underwriting |
| Device intelligence signals | Supports validation of device-related claims | Reduces false loss/theft claims |
| Frictionless verification | No OTPs or manual checks required | Improves customer experience |
Catching device insurance fraud is no longer just about identifying suspicious claims after they happen, it’s about preventing fraud before it enters your system. As fraud tactics continue to evolve, insurers must adopt solutions that provide real-time, data-driven insights and enable faster, more confident decision-making.
By leveraging mobile intelligence through solutions like Verify, insurers can:
The most effective insurers are no longer reacting to fraud, they are stopping it before it starts. If you would like to use MNO data to detect fraud in your business, please get in touch. You can also read more about the future of device insurance in our related article.
Last updated on May 1, 2026
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