
For years, the insurance industry has operated under a widely held belief:
“Non-life insurance poses little to no money laundering risk.”
And for a long time, that belief helped shape global regulatory priorities. While life insurance has remained under strict anti-money laundering (AML) scrutiny, general insurance—motor, property, liability—has flown under the radar.
But that’s starting to change.
Welcome to our Compliance myth-buster series: Insurance edition, where we break down why non-life insurance is no longer a safe zone when it comes to financial crime and why AML teams must rethink their controls.
It’s easy to see why this view persists. Non-life insurance doesn’t handle deposits or cash. It rarely requires face-to-face onboarding. Claims are structured and often linked to physical assets. Regulators have traditionally focused on life insurance due to its investment-like features. But that’s precisely the problem.
What was once true no longer reflects today’s threats.
Modern laundering schemes don’t need traditional cash-intensive models. Fraudulent claims, fake documentation, and policy manipulation have become effective entry points to clean illicit funds. Consider these trends:
Even without deposits or investment features, non-life lines offer flexibility and payout opportunities ripe for abuse.
Most AML controls in insurance were designed for life products. While red flags like early surrender or beneficiary changes don’t apply to non-life products, other laundering indicators do—and they’re often missed without AML systems tuned to the insurance context. These include:
These behaviors may seem administrative on the surface—but they can signal layering, concealment of proceeds, or fraud-enabled laundering. AML platforms tailored to insurance can identify these patterns early, especially when supported by AI and cross-policy entity profiling.
Insurers that overlook this risk fall into a false sense of security, while their fraud teams fight isolated claims with no AML intelligence support.
The result?
Organisations leading the way are already adjusting their AML frameworks. That means:
The world has moved on. Criminals have too.
While general insurance may be less directly exploited for placement and layering, the exposure to proceeds of crime, indirect laundering, and fraud typologies still demands careful, contextual monitoring—especially in high-value commercial lines and global programs.
Non-life insurance is no longer “low risk”— it’s underestimated risk. And in financial crime, that’s exactly what bad actors are counting on.
Read our next entry in the “Compliance myth-buster series: Insurance edition”:
Myth #2: “False positives are inevitable” – why legacy detection is costing you more than you think.
Compliance myth-busters: Insurance edition. Myth #3: Rules are enough for AML
Compliance myth-busters: Insurance edition. Myth #4: If it's not regulated, it's not a risk
Compliance myth-busters: Insurance edition: Myth #5: AML and fraud teams can operate in silos
Redefining Risk: The Insurance Industry's New Reality
Webinar: Regulators, risk & reinsurers: AML's New Frontier
Whitepaper: Elevating compliance in insurance
Data Sheet: Compliance for Insurance
Download our white paper “Elevating compliance in insurance: A risk-driven, AI-powered approach to AML and sanctions screening”.
Not anymore. While traditionally seen as low risk due to the lack of deposits or investment features, non-life insurance is increasingly being exploited through fraudulent claims, short-term policies, and policy manipulation. Today’s financial crime landscape has evolved, and so have the methods criminals use to exploit insurance products.
Most AML controls were designed with life insurance in mind—focused on behaviors like early surrenders or beneficiary changes. But non-life products show different red flags, such as overpayments, rapid cancellations, or third-party premium payments, which often go undetected unless systems are tailored to the insurance context.
Criminals exploit policies through:
These tactics enable illicit funds to be cleaned under the guise of legitimate insurance activity.
Leading insurers are:
Underestimating AML risk leads to: