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Crypto's Bad Child Narrative: The True Crime Story You’re Not Being Told

Crypto and crime—the two are often linked in the same breath, as if digital assets are the preferred playground for bad actors. “It’s anonymous,” critics say. “Perfect for laundering money,” other critics flag. But is that really true, or is it just an easy scapegoat?

Here’s the thing: money laundering isn’t a crypto problem—it’s a financial system problem. And while the headlines scream about blockchain’s potential for misuse, they often miss the bigger story: how its transparency is revolutionising accountability in ways legacy systems simply can’t.

To understand how crypto stacks up against traditional finance in tackling money laundering, we need to cut through the noise and dive into the data. Because when you truly examine the evidence, the chain doesn’t just hold up—it shines. Let’s explore why.

How Big Is the Problem? A Look at the Numbers

First, let’s get a sense of scale. According to a 2020 report by the United Nations Office on Drugs and Crime (UNODC), between $800 billion and $2 trillion USD is laundered annually through traditional financial systems. That’s up to 5% of global GDP. These numbers dwarf the volume of money laundering linked to cryptocurrencies.

In comparison, Chainalysis, a blockchain analytics firm, estimated that $23.8 billion in crypto was used for illicit activities in 2022, representing just 0.24% of total crypto transaction value. While no amount of money laundering is acceptable, the disparity here is striking.

Here’s another stark comparison: global institutions spend over $300 billion annually on anti-money laundering (AML) compliance, according to LexisNexis Risk Solutions. Yet, despite this enormous expenditure, estimates suggest that less than 1% of global money laundering is successfully intercepted

The Nature of the Systems: Side profile

One of the core arguments against crypto is the idea that it’s anonymous, making it a haven for criminals. But the reality is far more complex.

  • Crypto’s Transparency:
    Blockchain technology inherently prioritises transparency. Every transaction is recorded on an immutable ledger, accessible to anyone with an internet connection. While wallet addresses don’t reveal user identities directly, tools like blockchain forensics allow investigators to trace transactions back to their source—even across multiple chains.

For example, consider a criminal who transfers stolen funds from Ethereum to Binance Smart Chain via a bridge. The transaction doesn’t erase the trail—it simply extends it. Investigators can map out the path, backdating activity across chains and tying wallets together.

  • Legacy Systems:
    Traditional banking systems, on the other hand, are often siloed. Each bank maintains its own records and transfer of funds between banks. A launderer moving money from a bank in Country A to a bank in Country B relies on the fact that these systems don’t communicate seamlessly.

Furthermore, cash remains king for illicit activity. Physical currency, which leaves no digital trail, is still a preferred medium for laundering money globally.

Crypto’s Analytical Arsenal: Redefining Accountability

One of the most overlooked aspects of crypto is the sophisticated arsenal of analytical tools available to combat illicit activity. Companies like Chainalysis, Elliptic, and CipherTrace provide investigators with the ability to trace even the most complex transactions. These tools have been instrumental in high-profile cases, including Tornado Cash and FTX (which we will look at later in the article.)

  • Chainalysis:
    Chainalysis provides blockchain intelligence to governments, financial institutions, and exchanges. Its tools help identify wallet addresses linked to illicit activities, track funds across multiple chains, and offer real-time monitoring of suspicious activity.
  • Elliptic:
    Elliptic offers compliance and fraud detection solutions. By analysing blockchain transactions and maintaining a rich database of flagged wallet addresses, it helps institutions meet AML requirements.
  • CipherTrace:
    CipherTrace works to de-anonymise illicit activity on blockchains by mapping wallet clusters and identifying mixers and other methods used by bad actors.

While these are separate companies, they largely do the same thing: help you identify transactions on-chain more seamlessly. 

The transparency of blockchain can be further enhanced by coupling it with AI – I wrote a piece on Finextra that goes a little deeper on the potential synergies between AI and blockchain. Machine learning algorithms excel at detecting anomalies in vast datasets—something even the most robust blockchain analytics tools can’t always do alone.

  • AI can flag suspicious transaction patterns that mimic known laundering tactics.
  • Machine learning models can evolve to identify new laundering techniques as criminals adapt.
  • Predictive analytics can help institutions anticipate potential risks before they materialise.

By integrating AI with blockchain analytics, institutions can bolster their AML efforts, improving efficiency and reducing the staggering costs associated with compliance.

Why is this important? Let’s look at FTX, Tornado Cash and Luna as examples. 

Critics often point to the collapses of FTXLuna, and the sanctioning of Tornado Cash as proof of crypto’s risks. But these cases illustrate the opposite: how blockchain transparency enables swift accountability, in stark contrast to traditional systems where financial crimes can remain hidden for decades. 

  • FTX and Sam Bankman-Fried:
    The collapse of FTX revealed staggering mismanagement and fraud involving billions of dollars in customer funds. Yet, thanks to blockchain’s transparency, investigators were able to track the movement of funds within days. Forensic tools from Chainalysis and Elliptic provided real-time insights into wallets and transactions, enabling regulators to begin freezing assets and holding individuals accountable almost immediately.
  • Luna and Do Kwon:
    The implosion of the Terra ecosystem similarly demonstrated blockchain’s ability to expose malfeasance. Investigators traced wallet addresses linked to Do Kwon and tracked the movement of funds following Luna’s collapse. This transparency stood in stark contrast to traditional financial crimes, where tracing funds across multiple institutions often proves prohibitively difficult.
  • Tornado Cash:
    Tornado Cash, an Ethereum-based mixer, aimed to obscure the origins of transactions. Despite this, blockchain analytics firms like Chainalysis quickly uncovered links between the platform and activities by the North Korean Lazarus Group. Transactions that passed through Tornado Cash were mapped, wallets were clustered, and funds were traced back to illicit activities—exposing bad actors in ways legacy systems could never replicate.

While crypto cases are rapidly exposed due to blockchain’s transparency, traditional systems provide a starkly different story. High-profile figures have been able to launder money or hide illicit undertakings for years because of the opacity of financial institutions.

  • Howard Wilkinson:For nearly a decade, Wilkinson, working with an Estonian branch of a European bank, facilitated $230 billion in suspicious transactions linked to Russian oligarchs and other illicit activities. The lack of communication between banks and jurisdictions allowed this activity to persist unchecked.
  • Drug Cartels: Cartels laundered hundreds of millions of dollars through a global financial institution. Their methods, which included depositing large sums of cash and routing it through multiple branches, were undetected for years until a U.S. investigation uncovered the scheme. 

Had these transactions occurred on a blockchain, the immutable and public nature of the ledger would have exposed irregularities far sooner, sparing years of damage. The odds of finding these folks leveraging blockchain technologies would be exponentially higher, at a fraction of the cost we are currently paying to try and identify them through legacy means. 

Final Thoughts

When it comes to money laundering, crypto isn’t the problem—it’s the spotlight. FTX, Luna, and Tornado Cash are not examples of blockchain’s failure but of its success in exposing financial wrongdoing. 

Tools like Chainalysis, Elliptic, and CipherTrace, amplified by AI, ensure the blockchain ecosystem is more accountable than ever. But here’s the challenge: we need to look past the smoke and mirrors of sensational headlines that portray crypto as the villain. It’s time to examine the evidence critically, to dispel the myths, and to understand the transformative power of blockchain technology.

This isn’t just about defending crypto; it’s about rethinking how we tackle financial crime. The chain doesn’t lie—but it’s up to us to look past the noise and see the truth. It is too simplistic to band every illicit activity with a specific asset class or technology, we certainly don’t ban the internet more broadly because bad actors exist, I am curious why this the case with blockchain technology more specifically. Will you take up the challenge to learn, explore, and engage with the tools that can genuinely reshape financial accountability?

 

 

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This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.

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