A New Phase in Virtual Asset Security: The Speed War Between AI Agents and Regulatory Teams

On May 18, 2026, Simone Maini, CEO of blockchain analytics firm Elliptic, issued a stern warning regarding security threats in the crypto market. Her analysis suggests that the transaction speeds generated by AI agents and automated payment systems are exceeding the limits of existing monitoring systems designed for human decision-making speeds. This technological gap is triggering a sophisticated arms race where malicious AI entities move faster and more efficiently than regulatory teams.

Currently, the crypto market is experiencing significant technical friction between AI-driven transaction speeds and the manual or semi-automated review processes of traditional compliance teams. Existing surveillance systems built for human-centric markets are insufficient to handle the scale of AI agents processing tens of thousands of transactions per second. This speed mismatch creates security gaps, serving as a critical opportunity for criminal organizations to evade regulatory nets.

AI agents and automated payment systems can reach a scale that crypto monitoring systems tuned to human speed cannot handle. — Simone Maini, CEO of Elliptic.

Security experts point out that AI agents are going beyond simple transaction automation, modifying complex financial strategies in real-time and learning the detection algorithms of regulatory authorities. This means that existing static rule-based surveillance systems are no longer effective, frequently resulting in attacks being completed before security teams can even devise countermeasures.

The Economics of AI-Driven Exploitation and the Profitability Gap

The economic efficiency of AI-powered attacks is already being proven with concrete figures. According to Chainalysis's 2026 Crypto Crime Report, AI-based fraud operations earned an average of $3.2 million per campaign, recording 4.5 times higher profitability than non-AI methods. In contrast, traditional fraud profits averaged only $719,000, clearly demonstrating why attackers are rapidly pivoting to AI technology.

• AI-based Pump-and-dump: A method where AI purchases assets at low prices and then uses automated promotional tactics to artificially inflate the price.
• Adaptive Phishing: AI algorithms collect public data to generate sophisticated spear-phishing messages tailored to a target's portfolio or recent transaction history.
• KYC Bypass using Deepfakes: Neutralizing the identity verification procedures of virtual asset exchanges through fake IDs and videos created with generative AI.
• Automated Money Laundering: AI agents perform the process of dispersing and recombining funds across thousands of wallets in real-time, making tracking difficult.

The growth of AI agent traffic within the digital ecosystem is nothing short of disruptive. According to HUMAN Security's 2026 Benchmark Report, agentic AI traffic showed a record growth rate of 7,851% compared to the previous year. Even considering the low base effect of 2024, the current absolute transaction volume has become massive enough to fundamentally change the way major blockchain networks operate.

Regulatory authorities are also responding urgently to these changes. Paul Atkins, Chairman of the U.S. Securities and Exchange Commission (SEC), announced on May 8, 2026, that they are reviewing new securities regulation amendments to be applied to on-chain markets and AI-based financial applications. This is a measure to manage new risks arising as digital asset companies move their trading and settlement activities on-chain.

The Rise of Agentic Compliance and Defense Strategies

The security industry is adopting "Agentic Compliance" systems under the strategy of "fighting fire with fire." Companies like Comply launched a customized AI agent platform in March 2026 that utilizes MCP (Model Context Protocol) servers to monitor transactions in real-time without human intervention. These defensive AIs play the role of detecting and blocking threats in real-time, matching the speed of offensive AIs.

These automated defense systems do more than just increase speed; they also contribute to identifying potential crime rings by analyzing complex data patterns. AI systems combining computer vision and network analysis technologies are capturing abnormal fund flows between dispersed wallets much more sophisticatedly than humans, in addition to detecting forged checks or verifying signatures.

The spread of the FATF Travel Rule, an international regulatory standard, is also an important variable. By 2026, more than 60 jurisdictions are expected to have introduced or completed registration for Virtual Asset Service Provider (VASP) licensing systems. This is becoming a legal foundation for increasing the transparency of virtual asset transactions and strengthening international cooperation in anti-money laundering.

However, despite technological progress and the establishment of legal systems, the gap in actual enforcement remains a challenge. According to a June 2025 report by the FATF, approximately 59% of jurisdictions that introduced Travel Rule legislation have not yet taken practical supervisory or enforcement measures. This enforcement gap provides a window for AI-based illegal activities to operate in the shadows, and it is a critical time for substantial strengthening of law enforcement on a global scale.