AI Platform
A Financial Supervisory AI Platform for Faster Detection of Virtual Asset Anomalies | Financial Supervisory Service
2026.03.09.
As the virtual asset market expands, the role of financial supervision is becoming more sophisticated. Detecting signs of market manipulation and unfair trading within trading data generated by the second requires more than storage—it requires a framework for fast cleansing, analysis, and visualization at scale.
The Financial Supervisory Service (FSS) set out to build a data-driven investigative environment to strengthen transparency and stability in the virtual asset market. Its existing setup made it hard to process massive real-time trading data quickly, and investigator collaboration faced its own limits—affecting both speed and productivity.
To address this, the FSS adopted Mondrian AI's AI platform Yennefer and built VISTA, an analytics platform for virtual asset unfair trading. VISTA is an AI-integrated analytics platform designed to process large-scale trading data quickly, detect anomalies early, and let investigators collaborate in a shared analytics environment.
■ A Foundation for Fast Analysis of Large-Scale Trading Data
Virtual asset trading data is large in volume and high in velocity. Unfair trading like market manipulation can appear as complex patterns within short windows—and slow processing or manual workflows make subtle anomalies easy to miss.
Yennefer connects data cleansing, analysis, and ML model development and deployment into a single pipeline. Built on this foundation, VISTA gave the FSS an environment to process and analyze massive trading data at speed.
Powered by high-performance GPU resources, VISTA enabled an algorithm for automatically detecting market manipulation at the second level—surfacing even subtle anomalies within trading data. Investigators and field managers gained an analytical foundation for faster, more precise judgment.
■ A Unified Analytics Environment That Strengthens Investigator Collaboration
Investigations into unfair virtual asset trading rarely conclude through a single investigator's analysis. Multiple investigators need to review the same data, share findings, and examine suspicious trading patterns together.
Yennefer provided an analytics environment that systematically integrates large, fragmented datasets. With a multi-user structure in place, data sharing and communication between investigators improved—and technical gaps between teams narrowed.
This helped the FSS reduce data processing bottlenecks and build a more organic collaboration framework across investigations. Investigators moved beyond basic data cleansing and could focus on advanced analysis and judgment.
■ A Scalable AI Platform for the Future of Financial Supervision
The virtual asset market evolves rapidly, and the data and analytical models required for surveillance will keep expanding. A financial supervisory AI platform must not only meet today's needs but also accommodate new AI models and growing data over time.
Yennefer offers flexible deployment options that integrate on-premises and private cloud environments, giving the FSS a foundation to handle future data and analytics demand. Its MLOps capabilities also support continuous expansion of the investigative environment and the introduction of new analytical models.
This scalability lays the groundwork for applying new financial supervision techniques—clustering algorithms for coordinated manipulation response, LLM-based text analysis, and blockchain network transaction tracing. Yennefer serves not as a single analytics tool, but as a sustainable AI data, development, and operations platform built for a changing financial market.
The FSS's adoption of Yennefer marks more than a system upgrade—it's a turning point in how virtual asset surveillance and investigation are conducted. VISTA established a framework for rapidly processing large-scale trading data and detecting anomalies early, while improving investigator collaboration and data sharing to boost overall productivity.
This case shows that Yennefer can be applied to advanced data analytics in the public sector as well. Through Yennefer, Mondrian AI helped the FSS strengthen its data-driven decision-making framework and work toward establishing a transparent, stable virtual asset market.
