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Compliance myth-busters: Insurance edition. AML insurance – still low risk?

10.02.2025 | Thierry Fortin

Is AML in insurance still low risk?

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.

The myth #1: Non-life insurance is low risk for money laundering

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.

The reality: Non-life products are increasingly exploited

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:

  • Motor and property insurance fraud is now being used not just to scam payouts but to layer criminal proceeds.
  • “Crash-for-cash” scams in the UK surged 6,000% in a single year — many tied to organized networks.
  • Short-term policies and refunds during cooling-off periods are used to circulate funds with minimal trace.
  • Over-insurance of valuable items, followed by staged loss or theft, allows criminals to receive large, “legitimate” settlements.

Even without deposits or investment features, non-life lines offer flexibility and payout opportunities ripe for abuse.

Why it matters for AML teams

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:

  • Unusual premium activity, such as overpayments, multiple payment methods, or rapid refunds
  • Frequent policy cancellations or requests for return of premium shortly after purchase
  • Claims that appear excessive relative to the risk or timing of the policy
  • Third parties paying premiums or receiving claim payouts, especially in commercial policies

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?

  • Missed linkages across products – failure to connect related risk signals or suspicious behavior
  • Delayed detection of criminal patterns
  • Ineffective use of compliance resources
  • Growing regulatory scrutiny

What you can do

Organisations leading the way are already adjusting their AML frameworks. That means:

  • Conducting risk assessments across all product lines—not just life.
  • Aligning fraud detection and AML case management.
  • Using AI-powered models that can blend structured rules with anomaly detection—even for non-life claims.
  • Keeping an open channel between compliance, underwriting, and customer teams to flag unusual behavior in real time.

Bottom line: It’s time to retire the low-risk myth

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”:

The myth #2: “False positives are inevitable” – why legacy detection is costing you more than you think.

Related resources:

Compliance myth-busters: Insurance edition. The myth #3: Rules are enough for AML

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

Dive deeper into AML innovation in insurance

Download our white paper “Elevating compliance in insurance: A risk-driven, AI-powered approach to AML and sanctions screening”.

FAQs

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:

  • Over-insurance followed by staged loss or theft
  • “Crash-for-cash” scams in motor insurance
  • Layering funds via premium refunds during cooling-off periods
  • Fraudulent third-party involvement in commercial policies

These tactics enable illicit funds to be cleaned under the guise of legitimate insurance activity.

Leading insurers are:

  • Conducting risk assessments across all product lines
  • Aligning fraud and AML teams
  • Using AI-powered platforms that detect both rule-based and anomalous activity
  • Encouraging collaboration between compliance, underwriting, and customer teams

Underestimating AML risk leads to:

  • Missed connections between fraud and laundering
  • Slower detection of criminal patterns
  • Ineffective compliance spending
  • Increased regulatory scrutiny
  • Criminals rely on outdated assumptions—insurers can’t afford to
about the author
photo

Thierry Fortin

Senior Solution Consultant - Financial Services

Thierry Fortin is a seasoned financial technology professional with over 25 years of experience in banking, consulting, and enterprise software implementation. Currently based in Paris, he serves as a key member of the SymphonyAI Financial Services sales team, where he supports the delivery and adoption of advanced AI-driven financial crime solutions. Prior to joining SymphonyAI, Thierry spent over a decade at BAE Systems Digital Intelligence, where he held roles including Senior Business Consultant and Solutions Consultant, working closely with leading financial institutions to implement risk and compliance technologies across Europe. His earlier roles include project positions at Société Générale and Crédit Foncier de France, where he specialized in risk management systems, securitization projects, and client risk detection solutions. He also brings international experience from his time in the U.S. with Nordstrom, where he managed logistics systems and led audit-related tech initiatives. With a deep technical background in systems development, business analysis, and project management, Thierry brings a unique combination of hands-on experience and strategic insight to every engagement. He is passionate about driving innovation in financial services, particularly in the fight against financial crime.

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