The demand for compliance solutions in the cryptocurrency sector is rapidly increasing as artificial intelligence-driven fraud becomes more sophisticated and frequent. According to Sumsub co-founder and CEO Andrew Sever, fraudulent activities are evolving at a pace that outstrips the industry’s ability to respond effectively.
During a speech at Consensus Miami, Sever highlighted a 180% year-over-year increase in high-quality AI fraud attacks targeting crypto firms. These attacks now incorporate deepfakes, synthetic identities, and automated phishing networks that easily bypass traditional verification systems. He noted that while companies once prioritized verification speed and conversion rates, the focus has now shifted to accuracy.
Sever warned that malicious actors are leveraging large language models to generate thousands of personalized phishing attempts per minute, mimicking legitimate exchanges without obvious errors. If a deepfake attempt fails, attackers simply try again within minutes, making it extremely challenging for compliance teams to keep up.
A report from Sumsub, titled State of the Crypto Industry 2026, reveals that only 23% of crypto companies are prepared for new identity and fraud regulations. However, 72% of firms intend to overhaul their internal compliance processes in response to the growing threat. Meanwhile, Chainalysis data shows that illicit crypto flows reached $154 billion in 2025, a 162% increase from the previous year, driven by scams and sanctioned entities.
To address the surge in alert volumes, Chainalysis introduced blockchain intelligence agents in March. These agents automate triage, gather context, and deliver conclusions faster than human analysts. Emmanuel Marot, vice president of products at Chainalysis, emphasized the goal of automating customer tasks as much as possible.
The compliance challenge has been compounded by a rollback of federal crypto enforcement in early 2026, which has shifted more responsibility to private-sector teams. This development, flagged by senators using Chainalysis data, underscores the need for robust automated systems to fill the regulatory gap.