Chainalysis unveils AI agents to track illicit crypto activity

Chainalysis on March 31 introduced AI-powered blockchain intelligence agents for law enforcement, compliance teams, financial institutions, and crypto businesses, with an initial rollout planned for this summer.

The autonomous agents are trained on the company’s proprietary dataset built over more than a decade of blockchain analysis. They are designed to work alongside human investigators to speed on-chain inquiries and compliance checks. Users can configure AI agents to run in a deterministic mode, where the same inputs and rules produce the same outcome, or in an exploratory mode that flags potential leads.

Both settings generate audit trails that record the data consulted, the reasoning steps followed, and the actions taken. Human supervisors set the level of independence and choose which tasks to automate. Chainalysis positions these records to align with compliance and legal requirements, and asserts it is the only on-chain analysis firm whose data has been ruled reliable and admissible in court.

In testing, the company has used agents to gather open-source intelligence, track investigation workflows across multiple blockchains, and issue raw alerts. The tools can also generate summary reports and write code for web applications when needed.

“This isn’t a new product or a bolted-on chatbot feature. Agents are the evolution of the platform we’ve built and everything we’ve learned — billions of screened transactions, over ten million investigations, more than a decade of blockchain intelligence — that will work alongside your team,” CEO Jonathan Levin wrote in a statement. He added, “We have the context of every type of investigation you run and the compliance obligations you navigate daily. We know how transactions on the blockchain actually function, and the workflows, audit trails, and standards of evidence you rely on.”

Rollout begins this summer, with customers able to assign tasks, set permissions, and integrate the agents into existing operations. The company expects the tools to help teams handle higher case volumes and more complex cross-chain activity.

“As bad actors increasingly leverage AI to scale their operations, it’s critical that those working to stop them do the same,” Levin noted.