AML for Insurance and Insurtech: Complete 2026 Guide

Insurance AML is no longer limited to onboarding checks. It now covers the full policy lifecycle, from premium payments to claims and beneficiary changes. Firms must know who buys and funds the policy, who benefits, and whether sanctions, PEP status, or unusual activity indicate risk. It is now a continuous process, not a one-time step. 

The rise of insurtech has increased AML complexity through remote onboarding, embedded insurance, and API-driven distribution. PwC reports that over 60% of insurance executives see digital transformation as a major compliance challenge, making real-time risk assessment and ongoing monitoring essential. As a result, insurance aml compliance is increasingly dependent on automated systems that can support scalable aml insurance controls without slowing down customer experience.

In this guide, we break down how AML works across insurance and insurtech, including key regulatory expectations, how KYC, KYB, CDD and EDD fit into the customer journey, what products and behaviours create higher risk, and how ongoing monitoring and automation help insurers manage financial crime risk more effectively under modern aml insurance requirements and broader insurance aml compliance obligations.

What Is AML in Insurance?

AML in insurance refers to the set of anti-money laundering controls, including KYC for insurance, KYB, customer due diligence (CDD), enhanced due diligence (EDD), sanctions screening, PEP screening, and ongoing AML monitoring, designed to prevent insurance products and services from being used for financial crime. These controls form the foundation of aml insurance frameworks and are central to effective insurance aml compliance.

Why Can Insurance Products Be Used for Money Laundering?

Insurance products are not typically designed to function like traditional bank accounts, where funds are freely deposited and withdrawn. However, certain types of insurance, particularly those with investment or cash-value features, can still be misused to move, store, or disguise illicit funds within the financial system. This is why insurance AML compliance and aml insurance controls are essential across both insurers and insurtech platforms.

The Financial Action Task Force (FATF) notes that life insurance is generally less attractive to money launderers than more liquid or flexible financial products such as bank accounts or payment services. 

However, it also recognises that criminal proceeds can still be introduced into insurance products, and that funds withdrawn through surrender, maturity, or policy-related transactions may present money laundering risks if not properly monitored. This reinforces the importance of strong AML for insurance frameworks across the sector.

Several structural features of insurance can create potential vulnerabilities when not supported by strong insurance AML compliance controls:

• Large or unusually high premium payments that do not align with a customer’s profile
• Single-premium policies that allow significant funds to be placed at once
• Cash-value life insurance products that accumulate redeemable value over time
• Investment-linked insurance products that combine protection with financial investment exposure
• Early policy surrender, which can convert insurance value back into liquid funds
• Policy loans that allow access to accumulated value before maturity
• Third-party premium payments where the payer is not the policyholder
• Cross-border customers, payments, or policy structures that increase jurisdictional complexity
• Complex corporate policyholders with layered ownership structures or unclear beneficial ownership

In addition, insurance AML risk assessment becomes more challenging when policies involve intermediaries, embedded insurance models, or digital onboarding flows common in insurtech environments.

Importantly, the presence of any single factor does not automatically indicate money laundering or financial crime. These indicators should always be assessed in context, alongside the customer’s expected behaviour, source of funds, risk profile, and overall relationship history. Effective AML in insurance relies on combining these signals through a risk-based approach rather than treating them in isolation.

Which Insurance Products Carry Higher AML Risk?

Insurance AML risk is not uniform across all products. Instead, it is driven by the financial characteristics of each product, particularly whether it allows value accumulation, liquidity, third-party funding, or early access to funds. A risk-based approach to AML for insurance and broader insurance AML compliance requires understanding how these features can be misused for layering or integrating illicit funds.

The table below provides a practical comparison of common insurance products and their indicative AML risk considerations:

A useful regulatory reference point is the United States. FinCEN’s insurance AML framework applies primarily to permanent life insurance, annuity contracts, and other products with cash-value or investment features, reflecting their higher inherent financial crime exposure. It explicitly excludes term life insurance, property and casualty insurance, health insurance, and reinsurance from its covered product scope.

This illustrates a key principle in insurance AML compliance: regulatory obligations are often product-specific rather than industry-wide, and controls should be aligned with actual financial crime risk exposure.

Insurance AML Regulations and Standards in 2026

Rather than attempting to catalogue every country's legislation, it is more useful to understand the global AML/CFT framework that shapes how insurance AML compliance and aml insurance controls are designed, implemented and supervised across jurisdictions. 

Most national regimes are built on shared international standards, then adapted to local regulatory environments, product definitions and supervisory expectations.

FATF Standards

The Financial Action Task Force (FATF) Recommendations set the global baseline for AML/CFT regulation, implemented by countries through local laws and supervisory rules, including those for insurers and insurtechs.

The Recommendations are regularly updated, with the latest in June 2026, reinforcing a risk-based approach (RBA) rather than a one-size-fits-all model.

For insurance, FATF provides specific guidance for life insurance, recognising varying levels of money laundering risk depending on product structure. Its 2018 guidance should be read alongside the 2025 update to Recommendation 1, which further strengthens risk-based implementation and financial inclusion considerations.

Key 2026 takeaway

The dominant regulatory direction in 2026 is a clear shift toward proportionate, risk-based AML compliance, rather than blanket application of maximum due diligence across all customers and products.

The February 2025 FATF revisions reinforced several important principles:

• Stronger emphasis on proportionality of controls based on actual risk exposure
• Greater acceptance of simplified due diligence for lower-risk customers and products
• Recognition that remote or digital onboarding is not inherently high-risk when appropriate safeguards are in place
• Clear expectation that firms must differentiate AML controls dynamically, rather than applying static or uniform rules

For insurance and insurtech firms, this means AML frameworks must be flexible, data-driven and capable of adjusting controls based on customer, product and behavioural risk signals, forming the foundation of modern insurance AML compliance.

IAIS

The International Association of Insurance Supervisors (IAIS) provides globally recognised Insurance Core Principles (ICPs) that guide insurance regulation and supervision. These principles are widely used by national regulators when designing insurance oversight frameworks.

Of particular relevance is ICP 22, which addresses anti-money laundering and combating the financing of terrorism (AML/CFT) within the insurance sector. It sets expectations for insurers to implement effective controls and also recognises that many insurance business models rely on intermediaries, agents or third parties to perform onboarding, verification and customer due diligence activities on their behalf. This makes governance, oversight and accountability critical components of insurance AML compliance.

European Union

In the European Union, life insurance undertakings and life insurance intermediaries fall within the broader EU AML framework. A major development is the introduction of Regulation (EU) 2024/1624, part of the EU’s AML package, which is scheduled to apply generally from 10 July 2027.

This creates a significant transition and preparation period throughout 2026, during which insurance firms and insurtech providers must begin aligning systems, data models and compliance workflows with the new regulatory expectations, particularly around customer due diligence, beneficial ownership transparency and harmonised AML supervision.

United Kingdom

In the United Kingdom, insurance AML obligations are primarily governed by the Money Laundering, Terrorist Financing and Transfer of Funds Regulations 2017 (as amended), supported by detailed sector guidance issued by the Joint Money Laundering Steering Group (JMLSG).

The JMLSG has confirmed that its AML guidance is being updated following the Money Laundering and Terrorist Financing (Amendment) Regulations 2026, which came into force on 30 June 2026. This ensures that insurance firms, brokers and intermediaries continue to operate under guidance that reflects the latest regulatory and risk-based expectations for aml insurance controls.

United States

In the United States, the Financial Crimes Enforcement Network (FinCEN) requires insurers issuing certain covered insurance products to maintain risk-based AML programs and comply with suspicious activity reporting (SAR) obligations.

These requirements apply particularly to insurance products with cash-value or investment-like characteristics, and insurers are expected to implement controls that identify and report potentially suspicious activity in line with federal regulations and supervisory guidance, forming a core part of insurance AML compliance.

How Does AML Work Across the Insurance Customer Lifecycle?

AML in insurance (aml insurance) is not a single check at onboarding but a continuous, risk-based process that follows the customer from application through to payout. It is a core part of insurance AML compliance and combines KYC, KYB, CDD, EDD, sanctions screening, and ongoing monitoring to detect and prevent financial crime across the entire policy lifecycle.

Step 1: Customer Identification

Customer identification is the first step in AML for insurance and forms the foundation of effective insurance KYC requirements. It involves collecting core personal or business data to establish who the customer is before any policy is issued or activated.

For individuals, this typically includes full name, date of birth, residential address, nationality (where relevant), and identification document details such as passport or national ID. For business policyholders, insurers must capture legal entity information including registration number, registered address, directors, shareholders, and insurance beneficial ownership details to understand who ultimately controls the company.

Step 2: Identity or Business Verification

Identity or business verification ensures that the information provided during customer identification is accurate and authentic. This step is central to insurance AML compliance and is typically performed using KYC for insurance customers or KYB checks for corporate policyholders.

Verification may include document authentication, database checks, and digital verification tools to confirm that individuals and companies are legitimate and not using false or stolen identities.

Step 3: AML Screening

AML screening in insurance involves checking relevant parties against financial crime databases to identify potential risks. This includes sanctions screening, PEP screening for insurance, watchlist checks, and adverse media screening.

Depending on the insurance AML regulations and risk level, screening may extend beyond the policyholder to include beneficial owners, payers, beneficiaries, and other connected parties involved in the insurance relationship.

Step 4: Customer Risk Assessment

Customer risk assessment is a core part of insurance AML risk assessment and determines the overall financial crime exposure of the relationship. It evaluates factors such as customer profile, geography, product type, premium size, and funding method.

It also considers distribution channels, beneficial ownership complexity, PEP exposure, and expected policy behaviour. Based on these inputs, insurers assign a risk level that drives whether standard CDD or enhanced due diligence insurance measures are required.

Step 5: CDD or EDD

Standard-risk customers proceed through normal customer due diligence (CDD), where insurers and insurtech platforms verify identity, assess basic risk factors, and confirm the legitimacy of the relationship. This is a core part of AML for insurance and ensures that onboarding aligns with the customer’s expected profile and regulatory requirements.

Higher-risk cases may trigger enhanced due diligence (EDD), which involves deeper investigation into source of funds, source of wealth, purpose of the policy, business activities, ownership structure, and payment relationships. This is especially important in insurance AML compliance where complex funding or corporate structures may increase financial crime risk.

Step 6: Policy Issuance

At the policy issuance stage, insurers use predefined compliance rules and approval workflows to determine whether a customer can be onboarded. This step ensures that insurance AML compliance decisions are consistently applied before any contract is activated.

Possible outcomes include approve, request additional information, escalate for review, or reject. These decisions are typically driven by the customer’s AML risk assessment, KYC/KYB results, and any EDD findings, ensuring alignment with broader insurance compliance software controls.

Step 7: Ongoing Monitoring

Risk in AML for insurance and insurtech does not remain static after onboarding, so ongoing monitoring is essential. Insurers must continuously track changes that could affect a customer’s risk profile and trigger further review.

Key monitoring areas include PEP status, sanctions exposure, adverse media, ownership changes, customer information updates, and policy activity. This supports effective ongoing AML monitoring in insurance, helping detect emerging risks throughout the policy lifecycle.

Step 8: Claims, Surrender and Payout

Compliance does not end once a policy is issued, making the claims and payout stage a critical part of insurance AML controls. At this point, insurers must ensure that payouts are made in line with verified customer and beneficiary information.

Claims or surrender events may introduce new recipients, so the beneficiary or payee’s risk profile should be assessed where required under applicable insurance AML regulations. This helps prevent misuse of insurance products for financial crime at the final stage of the lifecycle.

How Insurance AML Risk Assessment Works

An insurance AML risk assessment is the process of transforming raw compliance data, collected through KYC, KYB, AML screening, and ongoing monitoring, into a structured, defensible decision-making framework. Rather than treating each data point in isolation, insurers and insurtech platforms use risk assessment to understand the overall financial crime exposure of a customer relationship across its entire lifecycle.

At its core, insurance AML risk assessment evaluates multiple interconnected risk dimensions:

Each of these factors contributes to an inherent risk score, reflecting exposure before controls are applied. The effectiveness of an insurance AML risk assessment depends on how well mitigating measures such as enhanced due diligence, source-of-funds verification, and stricter monitoring are factored in to determine the residual risk, which is the risk remaining after controls.

Modern approaches also use dynamic risk scoring, where customer risk is continuously updated rather than set only at onboarding.

This is where Binderr Dynamic Risk Assessment is critical. Instead of relying on fragmented systems or manual updates, Binderr continuously combines KYC, KYB, AML screening, and behavioural signals into a real-time risk engine. This gives insurers and insurtechs an always up-to-date, auditable view of customer risk, enabling faster decisions, stronger compliance, and lower financial crime exposure.

AML Challenges for Insurtech Companies

High-volume digital onboarding - High-volume digital onboarding in insurtech strains traditional AML processes, as manual KYC and identity reviews cannot scale to thousands of users. This drives demand for automated KYC, AI identity verification, and real-time AML screening to maintain compliance without slowing growth in aml insurance environments and modern insurance AML compliance programs.

Multiple compliance vendors - Many insurtech AML stacks rely on separate vendors for KYC, KYB, screening, risk scoring, and case management, leading to fragmented data and inconsistent insurance AML risk assessment. Without a unified system, visibility across the customer lifecycle is reduced, making ongoing monitoring and CDD more complex and error-prone within broader insurance AML compliance frameworks.

Embedded insurance - Embedded insurance onboarding often happens within a third-party platform’s user journey, meaning customers may be onboarded without directly interacting with the insurer. This raises challenges around data ownership, consent, and AML responsibility. It requires clear AML frameworks, strong KYB processes, and integrated screening to ensure consistent due diligence and risk assessment across all channels in aml insurance models.

Intermediary dependence - In many insurance models, brokers and agents collect KYC and CDD data on behalf of insurers, creating reliance on intermediaries. IAIS ICP 22 requires insurers to ensure this onboarding meets AML standards through proper oversight and ongoing monitoring, reinforcing the importance of structured insurance AML compliance.

Cross-border expansion - Cross-border insurtech expansion enables fast customer growth across jurisdictions but creates varying AML, KYC, and sanctions requirements. This makes jurisdiction-aware insurance AML essential, supported by dynamic risk assessment, EDD, and AML software to maintain consistent global compliance within aml insurance operations.

Bottom Line

Insurance aml compliance is most effective when it is risk-based rather than a one-size-fits-all approach. Different products, customers, jurisdictions and distribution channels carry different levels of financial crime risk, so controls should be adjusted accordingly. Not every policy or customer presents the same exposure, and regulatory expectations increasingly reflect this proportional approach.

Aml insurance compliance in insurance also goes beyond onboarding. It covers the full customer lifecycle, including KYC, AML screening, CDD, EDD and ongoing monitoring. As insurtech and digital insurance scale, firms need connected and automated compliance systems. The goal is not more checks, but the right checks applied to the right level of risk.

Platforms like Binderr Services help insurance and insurtech companies streamline aml for insurance compliance by unifying verification, screening and monitoring into a single workflow.

FAQs - AML for Insurance and Insurtech