Leading blockchain analytics company Chainalysis is adding artificial intelligence agents to its platform, reducing the technical know-how needed to launch plain-language investigations into crypto financial relationships.
“This is a really important moment to lower the barriers to entry for blockchain intelligence,” Jonathan Levin, co-founder and CEO of Chainalysis, told CoinDesk in an interview. Not only law enforcement officers, but also more people working in the traditional financial sector increasingly need to understand the movement of digital assets during blockchain transactions.
“We’re at a point where you need to be able to access this information without having to work in crypto for a long time,” Levin said. The new tool for assembling custom AI agents will be integrated into its company’s platform and will enable non-technical requests to create bespoke investigations supported by the depth and breadth of approach needed for a serious investigation, including audit trails and standards of proof.
The agents, expected to be deployed over the summer, can help users identify what analysis they will need and what transactions may be relevant, Levin said, and the work will be informed by some 10 million investigations conducted in the Chainalysis Reactor software. It’s not just a chatbot, he stressed.
Chainalysis’ announcement follows quickly on the heels of competitor TRM Labs’ similar announcement that its users now have agent support, suggesting that a new era of AI is beginning for blockchain analysis. The criminal operations they analyze have already started using AI themselves.
Chainalysis is the leading analytics partner for law enforcement who increasingly need to understand how criminals move assets across blockchains and across borders.
“People can create their own agents so they can create a tailored workflow for whatever they’re doing,” Levin said. “Every company is different. Every law enforcement agency may have different tasks to accomplish, and so we’re building a platform for them to create these agents.”
