Chainalysis, which operates in the field of cryptocurrency analytics and monitoring, is preparing to include new artificial intelligence-based agents on its platform. With this innovation, the need for technical knowledge to monitor and analyze digital asset transactions will decrease. Jonathan Levin, the company’s CEO and co-founder, noted the need for many, especially those in law enforcement and the traditional financial world, to understand asset movements on blockchain.
More accessible blockchain analysis tools
The new tools developed by Chainalysis will allow users to search in a natural and simple language, thanks to artificial intelligence support. These agents integrated into the platform enable comprehensive investigations to be carried out easily without the need for many years of cryptocurrency experience. While users can create reports and monitoring specifically for their needs, audit trails and evidence standards will also be taken into account in the analysis.
Jonathan Levin underlines that in the studies carried out, beyond artificial intelligence, the functionality provided by the agent is far above that of an ordinary chatbot. The company plans to use the knowledge gained from over 10 million studies conducted through the Chainalysis Reactor software in the past as the basis of this new system.
Competition and industry dynamics are changing
The announcement of AI-based agents marks a new era across the industry. Rival platforms such as TRM Labs also made similar announcements and began offering artificial intelligence-supported analysis support to their users. Especially in cases where digital assets are used for laundering or illegal transfer of crime proceeds, the tool needs of security units come to the fore.
Chainalysis stands out in the industry for working in close cooperation with official institutions, especially security units and financial auditing organizations. The complex structure of blockchain technology makes transparent monitoring of digital asset movements even more important.
Artificial intelligence-supported agents can detect which type of analysis method users may need and which transactions may be relevant. With this development, the way has been opened for both institutions and traditional actors in the financial sector to easily shape their own analysis processes.
Jonathan Levin stated that institutions can create their own unique workflows by building their own agency on the platform. According to Levin, since each institution’s business processes are unique, the developed system was created to adapt to these differences.
This move by Chainalysis increases competition in blockchain analysis and may pave the way for the creation of new standards for transparent investigation of crypto transactions.
