Chainalysis unveiled Workflows, a no-code automation tool within its Data Solutions platform, designed to let investigators perform blockchain analyses without writing code.

The piece notes that many small per-victim thefts can aggregate into large fraud networks that affect billions across numerous victims.

The article situates Workflows within the broader crypto ecosystem, touching on Iran’s crypto activity and moves of crypto activity toward Dubai and Abu Dhabi.

Ekim Buyuk, Chainalysis’ senior product manager, says the feature addresses the need to monitor fraud networks that increasingly use AI-enabled approaches.

Late-2025 incidents underscored ongoing risks, including an onchain exploit on Jan 2 affecting Ethereum and other networks with minimal per-address losses and a $2 million impersonation scam tied to Coinbase support.

The article frames Workflows within evolving security and compliance needs as scams and hacking risks persist in crypto.

Coinbase’s investigation serves as a practical example of automated workflows revealing the digital infrastructure behind illicit activity on a global scale.

The launch seeks to broaden access to onchain investigative tools, enabling teams to conduct complex investigations—illustrated by Coinbase’s fentanyl-distribution sprint producing 41 intelligence packages across 12 countries.

Context on 2025 crypto hack losses estimates, totaling around $3.4 billion with over $2 billion from North Korean hackers, underscores the need for enhanced threat monitoring.

Chainalysis intends to broaden access to onchain tools beyond developers while maintaining investigative rigor.

Workflows enables teams to run predefined analyses without SQL or Python, reducing the need for manual scripting and accelerating repetitive data tasks.

The tool aims to democratize data analytics by letting broader teams replicate complex investigations through templates and plain-language inputs.