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What Is Blockchain Analytics In AML Compliance?

What Is Blockchain Analytics In AML Compliance?

What Is Blockchain Analytics In AML Compliance?

Blockchain analytics refers to the process of analysing transaction data recorded on public blockchains to detect suspicious activity, trace flows of value, and identify potential money laundering or sanctions evasion. It is widely used by regulators, law enforcement, and specialized vendors to follow the movement of cryptocurrencies such as Bitcoin and Ethereum.

In AML compliance, blockchain analytics provides visibility into pseudonymous wallets and helps identify risks associated with illicit finance, ransomware, and sanctioned digital asset addresses. However, not all compliance providers offer blockchain analytics, many, like Facctum, focus on the fiat side of compliance, ensuring that when customers on-ramp funds into the regulated financial system, proper screening controls are applied.

Blockchain Analytics

Blockchain analytics is the application of advanced tools and algorithms to decode blockchain transaction patterns, cluster related wallets, and flag suspicious flows of value. It helps investigators determine whether assets passing through an exchange or payment gateway are linked to known illicit activity.

According to the Financial Action Task Force, blockchain analytics is important for identifying risks in the virtual asset sector, particularly in relation to virtual asset service providers (VASPs).

Why Blockchain Analytics Matters In AML

Blockchain analytics matters because digital assets can be exploited for money laundering, sanctions evasion, or terrorist financing. Without visibility into blockchain transaction flows, regulators and financial institutions would struggle to address these risks.

However, blockchain analytics is only one part of the compliance puzzle. For financial institutions operating in fiat currency, compliance obligations are primarily met through:

This ensures that risks are mitigated at the point where crypto assets intersect with the regulated fiat economy.

How Blockchain Analytics Works

Blockchain analytics uses a combination of:

  1. Transaction Graphs: Mapping wallet-to-wallet flows to uncover hidden relationships

  2. Wallet Clustering: Grouping pseudonymous wallets under common ownership

  3. Attribution Databases: Linking wallets to known exchanges, darknet markets, or illicit services

  4. Machine Learning Models: Detecting suspicious patterns and anomalies in crypto flows

While these methods are powerful for analysing crypto activity, they do not replace traditional fiat compliance controls. Institutions still need to enforce sanctions and AML obligations through fiat-side screening.

Blockchain Analytics And Fiat-Side Compliance

Financial institutions handling fiat transactions intersect with blockchain only during on-ramping or off-ramping, when customers convert between fiat and crypto.

At these points, compliance responsibilities include:

  • Screening customer names against sanctions and PEP lists

  • Screening fiat payments for prohibited entities

  • Applying enhanced due diligence for higher-risk crypto-related activity

This approach ensures compliance obligations are met without requiring full blockchain analytics capabilities.

The Future Of Blockchain Analytics In Compliance

The future of blockchain analytics will likely involve deeper integration with traditional compliance frameworks.

Key trends include:

  • Stronger regulatory expectations for VASPs to use blockchain analytics

  • Collaboration between regulators and analytics providers to improve transparency

  • Hybrid systems where blockchain risk signals inform fiat-side Transaction Monitoring

  • Greater alignment between blockchain analytics and traditional AML frameworks, ensuring consistency across both crypto and fiat ecosystems

Strengthen Your Fiat AML Compliance With Effective Screening

While blockchain analytics helps address risks in the digital asset sector, financial institutions remain responsible for robust fiat-side compliance. By combining name screening, payment screening, and transaction monitoring, firms can ensure they meet AML and sanctions obligations when customers on-ramp into fiat systems.

Contact Us Today To Strengthen Your AML Compliance Framework

Frequently Asked Questions About Blockchain Analytics

What Is Blockchain Analytics In AML?

It is the process of analysing blockchain transaction flows to identify risks related to money laundering, sanctions evasion, or terrorist financing.

Do All Compliance Providers Use Blockchain Analytics?

No. Some, like Facctum, focus on fiat-side controls such as Customer Screening and Payment Screening, particularly during fiat on-ramping.

Why Is Blockchain Analytics Important?

It provides visibility into pseudonymous crypto transactions, helping regulators and institutions identify illicit financial activity.

How Does Blockchain Analytics Work?

It uses transaction graphs, wallet clustering, attribution databases, and machine learning models to trace flows of value.

Is Blockchain Analytics Required For Fiat Compliance?

Not directly. Fiat compliance relies on sanctions screening and payment monitoring; blockchain analytics is primarily applied by VASPs and regulators in the digital asset space.

What Is Blockchain Analytics In AML?

It is the process of analysing blockchain transaction flows to identify risks related to money laundering, sanctions evasion, or terrorist financing.

Do All Compliance Providers Use Blockchain Analytics?

No. Some, like Facctum, focus on fiat-side controls such as Customer Screening and Payment Screening, particularly during fiat on-ramping.

Why Is Blockchain Analytics Important?

It provides visibility into pseudonymous crypto transactions, helping regulators and institutions identify illicit financial activity.

How Does Blockchain Analytics Work?

It uses transaction graphs, wallet clustering, attribution databases, and machine learning models to trace flows of value.

Is Blockchain Analytics Required For Fiat Compliance?

Not directly. Fiat compliance relies on sanctions screening and payment monitoring; blockchain analytics is primarily applied by VASPs and regulators in the digital asset space.

What Is Blockchain Analytics In AML?

It is the process of analysing blockchain transaction flows to identify risks related to money laundering, sanctions evasion, or terrorist financing.

Do All Compliance Providers Use Blockchain Analytics?

No. Some, like Facctum, focus on fiat-side controls such as Customer Screening and Payment Screening, particularly during fiat on-ramping.

Why Is Blockchain Analytics Important?

It provides visibility into pseudonymous crypto transactions, helping regulators and institutions identify illicit financial activity.

How Does Blockchain Analytics Work?

It uses transaction graphs, wallet clustering, attribution databases, and machine learning models to trace flows of value.

Is Blockchain Analytics Required For Fiat Compliance?

Not directly. Fiat compliance relies on sanctions screening and payment monitoring; blockchain analytics is primarily applied by VASPs and regulators in the digital asset space.

What Is Blockchain Analytics In AML?

It is the process of analysing blockchain transaction flows to identify risks related to money laundering, sanctions evasion, or terrorist financing.

Do All Compliance Providers Use Blockchain Analytics?

No. Some, like Facctum, focus on fiat-side controls such as Customer Screening and Payment Screening, particularly during fiat on-ramping.

Why Is Blockchain Analytics Important?

It provides visibility into pseudonymous crypto transactions, helping regulators and institutions identify illicit financial activity.

How Does Blockchain Analytics Work?

It uses transaction graphs, wallet clustering, attribution databases, and machine learning models to trace flows of value.

Is Blockchain Analytics Required For Fiat Compliance?

Not directly. Fiat compliance relies on sanctions screening and payment monitoring; blockchain analytics is primarily applied by VASPs and regulators in the digital asset space.