Chainalysis launches Workflows to automate onchain investigations
Blockchain analytics firm Chainalysis has introduced an automation feature designed to expand onchain investigative and compliance capabilities to non-technical users.
The tool, called Workflows, enables investigators and compliance teams to execute predefined blockchain analyses without writing code, reducing dependence on custom SQL or Python. According to Chainalysis, the feature standardizes frequently used investigative steps through reusable templates, supporting consistent application across multiple cases as the company adapts its data products for a broader user base.
Chainalysis’ Workflows library. Source: Chainalysis
Ekim Buyuk, senior product manager at Chainalysis, said tasks that previously required technical expertise and significant time can now be completed within minutes by any user. Instead of requiring knowledge of data schemas, the feature guides users with investigation-focused prompts such as relevant actors, wallets, or time frames.
Buyuk noted that fraud and scam networks rapidly adopt new tools to scale their operations, citing Chainalysis research suggesting AI-enabled scams extract 4.5 times more from victims. He said these trends reflect the types of activity investigators and compliance teams are increasingly expected to track.
Investigations can be complicated by the relatively small amounts taken from individual victims. However, blockchain analysis can reveal coordinated schemes involving hundreds or thousands of victims, collectively reaching billions of dollars.
Crypto scams and fraud in late 2025
A recent Chainalysis report estimates that crypto scams and fraud siphoned about $17 billion in 2025, driven by a rise in impersonation schemes and the increasing industrialization of fraud operations using AI, deepfakes, and professional money-laundering networks.
Several incidents late in the year highlighted these risks. On Jan. 2, an attacker drained hundreds of wallets across Ethereum Virtual Machine–compatible networks, stealing sub-$2,000 per address in what onchain investigator ZachXBT described as a large-scale but low-value exploit that may be linked to the Ledger hack.
Social-engineering activity also persisted. ZachXBT recently identified a suspected scammer who posed as Coinbase customer support and stole about $2 million over 2025.
Crypto Scams and Fraud in 2025 report. Source: Chainalysis
Even so, blockchain security firm PeckShield reported that overall crypto hacking losses declined sharply in December, with total losses from hacks and exploits falling to about $76 million, down 60% from November’s $194.2 million.
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