Captive Insurance in AML/CFT

Captive Insurance in AML/CFT - Key Takeaways

Captive insurance is a form of insurance that companies create for themselves to cover their own risk instead of buying insurance from an external insurer.
Key ML/TF risks include premium overpayment or underpayment, circular transactions, self-dealing, or fraudulent claims payouts.
Best practices for managing AML/CFT risks are implementing strong KYC, due diligence, and monitoring transactions to spot unusual activity.
RapidAML helps detect captive insurance abuse with automation and ensures regulatory compliance.

What Is Captive Insurance? (Definition & Relevance to AML/CFT)

Captive insurance refers to a self-insurance that companies usually form to cover specific risks and avoid relying on an external insurer. Companies often form captives to avoid the expenses, as traditional companies generally charge higher costs or may not cover the specific risks required.

One form of captive insurance includes micro-captive insurance, which provides risk coverage for its parent company and is designed for small and medium-sized businesses that need to follow strict regulatory limits and oversight.

The insurance sector is often vulnerable to ML/TF abuse because criminals often use insurance policies to present the illicit funds as legitimate and use techniques like large top-up payments, quick claims right after buying the insurance without a clear reason, and policies funded by third parties.

The primary difference between legitimate risk financing and abusive or sham captive structures lies in their operations, as legitimate risk financing is real and genuinely insures business risk, whereas sham captive structures are insuring unlikely or fake risks, primarily used for tax avoidance and not to provide insurance.

Key ML/TF Risks, Indicators & Abuse Typologies in Captive Insurance

Key ML/TF risks, indicators, and abuse typologies in captive insurance include:

Frequent large overpayments to move the illicit funds quickly and later withdrawn as legitimate ones, and underpayments to avoid large single transactions and avoid reporting thresholds.
Using circular transactions (moving money in a loop between related entities without a clear economic purpose), self-dealing (controlling both sides of the transaction by the owner), or fraudulent claims payouts (paying claims without real losses) is often considered a risk in captive insurance.
Criminals often use offshore domiciles (low-transparency jurisdictions), complex and hidden ownership, or intermediaries with a lack of transparency, which reduces visibility and makes detection difficult.
Reinsurance layering, passing the risks through multiple layers, often obscures the source of funds.
High-risk sectors with high cash flow or corruption exposure and jurisdictions with weak AML laws are most likely to be exploited and considered risky for ML/TF abuse.

Best Practices for Managing AML/CFT Risk in Captive Insurance Operations

Best practices for managing AML/CFT risk in captive insurance operations are as follows:

Companies should implement KYC software and due diligence on captive owners, managers, and intermediaries, to ensure they are low risk.
Companies should monitor transactions designed for premium flows and claims activity to spot anything unusual or suspicious.
Governance expectations for captive insurance companies to have clear rules and oversight by applying measures such as actuarial justification (using actuaries to calculate premiums) and pricing transparency.
Companies should document the risk assessment and keep a written record showing that risks are identified and analysed, and help in validating that the captive is being used for an actual business purpose.
A collaboration between AML, actuarial, and insurance compliance teams ensures effective coordination.

How RapidAML Software Helps Detect Captive Insurance Abuse

RapidAML aml software helps in detecting captive insurance abuse with its automated Screening of owners, directors, reinsurers, and counterparties against Sanctions, PEPs, and Adverse media. Its dynamic risk scoring based on transaction patterns helps in detecting unusual premium flows, claim patterns, and cross-border transfers.

RapidAML automatically identifies the opaque and complex corporate structures and reveals the beneficial owners.

It also integrates regulatory, corporate registry, and insurance data sources, helping in detecting hidden risks and unusual transaction patterns.

RapidAML workflow automation helps in reducing manual intervention, and its audit trails support insurance-sector compliance and regulatory investigations.