Asian Crime Gangs Are Rapidly Expanding, Fueled by AI • The Register

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The Rise of Organized Crime in Asia: How Technology Fuels Expansion

In a rapidly evolving digital landscape, organized crime syndicates across Asia are leveraging advanced technologies to expand their operations. A recent report from the UN Office on Drugs and Crime (UNODC) highlights the alarming trend of criminal groups utilizing artificial intelligence (AI), messaging platforms like Telegram, and cryptocurrency to enhance their illicit activities. This shift has not only transformed the nature of crime but has also created a "criminal service economy" that poses significant challenges for law enforcement agencies.

The Technological Shift in Organized Crime

Masood Karimipour, the UNODC regional representative for Southeast Asia and the Pacific, emphasized that criminal groups are increasingly exploiting technological advancements to engage in larger-scale and more sophisticated fraud, money laundering, underground banking, and online scams. The report indicates that these developments are outpacing governments’ ability to respond effectively, leading to a concerning rise in transnational criminal networks.

AI: Lowering Barriers to Entry

One of the most significant contributors to the expansion of organized crime is generative AI. This technology automates complex tasks such as money laundering, coding malware, and gathering breached data, making it easier and cheaper for criminals to execute cyber attacks. The availability of these services in underground markets has lowered the barriers to entry for aspiring criminals, allowing them to engage in illicit activities with minimal technical expertise.

Moreover, AI is enhancing social engineering attacks through the use of audio and video deepfakes, translation applications, and face-swapping software. The UNODC report revealed a staggering increase of over 1,500 percent in deepfake-related crimes in the Asia-Pacific region from 2022 to 2023, alongside a 600 percent rise in deepfake-related advertisements on platforms like Telegram between February and July 2024.

The Professionalization of Crime

The influx of capital and the expansion of markets have led to a notable professionalization of criminal operations. Organized crime groups are no longer small, scattered gangs; they have evolved into larger, well-structured entities. These groups have established robust physical and information and communication technology (ICT) infrastructures to support their online service-based business models.

As their operations grow, these criminal enterprises require a comprehensive support system, including mule bank accounts, cryptocurrency wallets, and teams to manage these accounts. They have created marketplaces that connect those needing funds moved with those who can facilitate it, further solidifying their operations.

Telegram: A Hub for Criminal Activity

The UNODC report identifies Telegram as a crucial platform for these criminal networks. With its sprawling channels and minimal moderation, Telegram provides an environment where cybercriminals can operate with relative impunity. The platform’s insistence that it is merely a tool and cannot be held responsible for the content shared on it creates a loophole for illegal activities.

Despite Telegram’s claims, the report indicates that many merchants actively market their services to fraud operators, tailoring their offerings to attract criminals. The platform has faced scrutiny for enabling such activities, leading to the arrest of its CEO in France and subsequent government orders to remove illegal content.

Cryptocurrency: The New Frontier for Money Laundering

Cryptocurrency has emerged as a significant enabler of organized crime, particularly due to the rise of underregulated online gambling platforms and unauthorized virtual asset service providers (VASPs). The UNODC report highlights that 43 percent of scam-related funds this year were funneled into digital wallets that were newly opened in 2024, a sharp increase from 29.9 percent in 2022.

The ease of cross-border transactions using cryptocurrency makes it challenging for law enforcement agencies to track and recover stolen funds. Governments in the region are struggling to regulate over-the-counter (OTC) brokers and peer-to-peer (P2P) platforms, which often operate legally but are frequently linked to illegal activities. The lower know-your-customer requirements for OTC brokers in Southeast Asia exacerbate the issue.

Stablecoins, in particular, pose a significant challenge. The report indicates that up to 70 percent of cryptocurrency-related scam transactions globally in 2023 involved stablecoins, with Tether (USDT) on the TRON blockchain being the preferred choice for money laundering. The TRON blockchain accounted for approximately 45 percent of all illicit cryptocurrency transactions, a rise from 41 percent in 2022.

The Evolution of Scams

The use of stablecoins has also led to a notable shift in the nature of scams. Criminals are pivoting away from elaborate Ponzi schemes towards shorter, targeted campaigns, such as pig butchering love scams or address poisoning. The average duration of scams has decreased dramatically, dropping from 271 days in 2020 to just 42 days in the first half of 2024. This rapid turnover reduces the likelihood that stablecoin issuers can blacklist scam addresses, allowing criminals to operate with greater efficiency.

Conclusion

The convergence of technology and organized crime in Asia presents a formidable challenge for governments and law enforcement agencies. As criminal syndicates continue to adapt and evolve, leveraging AI, messaging platforms, and cryptocurrency, the need for a coordinated and robust response becomes increasingly urgent. The emergence of a "criminal service economy" not only complicates efforts to combat crime but also underscores the necessity for international cooperation and innovative regulatory frameworks to address these evolving threats. The fight against organized crime in the digital age is far from over, and the stakes have never been higher.

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