What catalyzed the shift in compliance attitudes within the crypto industry over the last twelve years? How do regulatory environments influence the evolution of compliance tools for blockchain? What challenges do banks face when transitioning from private to public blockchain systems? How is AI and automation reshaping the compliance landscape in crypto transactions? What were the key lessons learned from the Bybit hack regarding crypto crime patterns? What future developments can we expect from Elliptic in terms of blockchain support and AI capabilities?
Twelve years ago, when Elliptic launched with a mission to bring compliance and anti-money laundering tools to the world of crypto, most companies simply didn’t care.
“In the early days, people didn’t think compliance was necessary,” James Smith, co-founder of Elliptic, told Cryptonews in an exclusive interview at Token2049 Dubai. “There were a few early believers — Coinbase has been a customer for nearly a decade — but most didn’t see the need.”
Fast forward to 2025, and the landscape has radically shifted. With banks and traditional financial institutions entering the space, regulatory compliance has gone from optional to essential. “Now, nobody builds anything without thinking about compliance from day one,” Smith noted.
From Reluctance to Regulation
Smith credits this shift not just to industry maturity, but to evolving regulatory environments. While early frameworks like New York’s BitLicense quickly became outdated, newer efforts — particularly in Europe — show promise.
“In the US, stablecoin regulation has lagged behind, with enforcement taking precedence over clarity,” he noted.
“But we’re seeing movement with bills like the Stable Act. Europe’s ahead in this regard — MiCA has given clearer rules, and we’re seeing banks become more comfortable experimenting with tokenized deposits and even launching their own stablecoins.”
Elliptic recently partnered with Morabanc in Europe to further navigate this regulatory terrain, especially around stablecoins.
The Age of Public Chains and Bank Adoption
Historically, banks experimenting with blockchain leaned toward private ecosystems. That’s changing. “More banks now understand the real value lies in open, connected systems,” Smith noted. “You get efficiency when you remove the air gaps between chains.”
Elliptic sees growing interest from European banks in exploring how public blockchains and stablecoins can reduce friction in cross-border payments and asset transfers.
AI, Automation, and the Arms Race Against Crypto Crimes
With rising transaction volumes and sophisticated criminal tactics, Elliptic has embraced AI and automation to stay ahead. “We’re helping our customers simplify how they respond to alerts and reduce human error,” said Elliptic co-founder. “Automation is key to scaling compliance as the market grows.”
Criminals are early adopters of new tech. From mixers to multi-chain hops, illicit actors continue to innovate.
“A third of the complex cases our customers investigate now involve at least three blockchains. We’ve had to build systems that follow the money across bridges, DEXs, and protocols — and identify the real beneficiaries behind the wallets.”
Inside the Bybit Hack and DPRK’s Crypto Playbook
Smith recalls the recent $1.5 billion Bybit hack vividly — it broke just as Hong Kong Consensus wrapped. “We spotted the red flags quickly — the movement patterns matched DPRK-linked activity from past hacks.”
Within hours, Elliptic’s intel team was working around the clock, collaborating with Bybit and sharing a public blacklist of flagged addresses.
“It was a coordinated laundering effort. They moved funds into native ETH, then swapped it for BTC through DEXs and no-KYC platforms. Thorchain alone processed over $1.2 billion, generating fees for LPs — a troubling incentive.”
What’s Next for Elliptic
Looking ahead, Elliptic plans to expand support for more blockchains (currently over 50) and enhance its AI-driven tools. “We want our clients to grow without needing to hire a new analyst every time trading volumes spike,” Smith noted.
As regulation and risk converge, Smith believes businesses must act not just for compliance — but for the industry’s future. “The best ones always played by the rules they knew were coming,” he says. “That’s how you build something lasting.”
The post “Helping Companies Reduce Human Error”: Elliptic’s James Smith on Using AI to Track Crypto Crimes appeared first on Cryptonews.
Helping Companies Reduce Human Error: Elliptic’s James Smith on Using AI to Track Crypto Crimes
In today’s fast-paced digital economy, the cryptocurrency landscape has emerged as both a beacon of innovation and a breeding ground for crime. As the market grows, so too does the potential for human error — a stumbling block that can lead to significant financial loss and regulatory challenges. This is where cutting-edge technology, particularly Artificial Intelligence (AI), plays a pivotal role. At the forefront of this transformative wave is Elliptic, a company that employs AI to track crypto crimes. James Smith, a key figure in this initiative, shares insights into how AI is being harnessed to reduce human error and enhance security for businesses operating in the cryptocurrency space.
The Reality of Crypto Crimes
The cryptocurrency market is notorious for its lack of regulation, making it a target for criminal activity. From money laundering to fraud, the methods employed by cybercriminals have become increasingly sophisticated. According to reports, billions of dollars are lost to crypto crimes every year, underscoring the urgent need for robust solutions to mitigate risks. Such high stakes raise questions about accountability and oversight, inviting scrutiny of how businesses can effectively manage these risks without exposing themselves to greater vulnerabilities.
Human error is often a critical factor in these breaches. Employees may inadvertently click on malicious links, fail to follow security protocols, or misinterpret data analytics. In the crypto world, where transactions are irreversible, even minute mistakes can result in catastrophic losses. James Smith emphasizes that the intersection of human behavior and technology must be addressed to create a more secure ecosystem.
AI’s Role in Mitigating Human Error
Elliptic leverages AI to bring a level of accuracy and efficiency that surpasses traditional methods used in tracking and analyzing cryptocurrency transactions. The primary goal is to automate and enhance processes that are often hampered by human limitations.
Predictive Analytics
One of the most valuable features of AI is its ability to provide predictive analytics. By analyzing historical data, AI can identify patterns indicative of fraudulent activity. Elliptic’s advanced algorithms scrutinize millions of transactions, flagging anomalies that could suggest malicious intent. This automation drastically reduces the likelihood of human error, allowing companies to respond to threats more quickly and effectively.
James Smith notes that automated alerts serve as a second set of eyes for compliance teams, helping them prioritize their efforts and focus on high-risk areas. This enables employees to work more efficiently, minimizing the risk of oversight that could cost companies dearly.
Enhanced Data Interpretation
Human beings are prone to cognitive biases that can cloud decision-making. AI, on the other hand, analyzes data impartially, drawing insights that may elude human analysts. By utilizing machine learning, Elliptic can continually improve its models based on new data, thereby sharpening the accuracy of its predictions and assessments over time.
Smith stresses that the combination of AI and human oversight leads to a more comprehensive approach to security. Rather than replacing human judgment, AI enhances it by providing data-driven insights that empower employees to make informed decisions.
Reducing Compliance Risks
Regulatory compliance is another critical area where human error often manifests, especially in industries as dynamic as cryptocurrency. The complexity of compliance frameworks can overwhelm teams, leading to non-compliance that carries heavy penalties.
Elliptic’s AI-driven solutions simplify compliance processes. By automating the monitoring of transactions against regulatory requirements, companies can ensure they remain compliant without overburdening their staff. This not only reduces the risk of human error but also streamlines workflows, allowing employees to focus on strategic initiatives rather than being bogged down by time-consuming compliance checks.
The Future of AI in Crypto Crime Prevention
As the cryptocurrency market continues to evolve, the importance of reducing human error will only grow. James Smith envisions a future where AI forms the backbone of crypto crime prevention. Automation will become increasingly sophisticated, with AI systems evolving to counter new strategies employed by cybercriminals.
Moreover, the integration of AI could extend beyond compliance and crime tracking to encompass broader business functions. For example, AI could assist in customer service, market analysis, and risk management, providing companies with a well-rounded toolkit to navigate the complexities of the crypto landscape.
Collaboration and Education
While technology plays a vital role, James Smith advocates for a collaborative approach involving education and training. Employees must be well-informed about the risks and the tools available to mitigate them. This dual approach — utilizing AI and fostering a culture of awareness — can significantly minimize the chances of human error.
Conclusion
In a world where human error can have devastating consequences, leveraging AI to track and prevent crypto crimes presents a game-changing opportunity for businesses. Elliptic, under the guidance of forward-thinking leaders like James Smith, is pioneering efforts to combine technology with human intelligence to create a safer cryptocurrency environment. By reducing the reliance on human judgment alone and employing advanced analytics, companies can not only protect themselves from financial loss but also foster trust and security in the burgeoning world of digital assets. The future is promising, but a continuous commitment to innovation and education will be imperative in the fight against crypto crimes.
James Smith from Elliptic discusses how AI technologies are effectively reducing human error in tracking cryptocurrency crimes. By leveraging machine learning algorithms, companies can analyze vast amounts of transaction data, identify patterns, and detect anomalies that might go unnoticed by human analysts. This approach enhances the accuracy and efficiency of investigations in the often-complex world of cryptocurrency, allowing for quicker responses and improved compliance with regulations.
Smith emphasizes the importance of collaboration between AI tools and human expertise. While AI can handle large-scale data processing, human judgment remains critical in interpreting results and making nuanced decisions. Elliptic’s solutions focus on not just identifying criminal activity but also adapting to an evolving landscape, ensuring that companies stay ahead of potential threats. This dual approach promotes a more robust framework for combating crypto-related crimes while minimizing human error.