Chainalysis has rolled out a no-code automation tool called Workflows to let investigators and compliance teams run predefined blockchain analyses without writing code, aiming to broaden access and standardize common processes. The feature reduces reliance on custom SQL or Python queries and speeds repeatable investigations across cases.
Workflows uses prebuilt templates that frame investigations as questions about actors, wallets, and time frames rather than data schemas, as described. The tool targets nontechnical users and teams seeking faster, consistent onchain analysis.
“What previously required technical expertise and lots of time, can now be done by any user in minutes.” Ekim Buyuk is the senior product manager who highlighted the shift toward investigation-focused prompts.
A separate Chainalysis report reported that crypto scams and fraud drained about $17 billion in 2025, driven by impersonation schemes and industrialized fraud using AI and deepfakes. The research also notes AI-enabled scams extract about 4.5 times more from victims than earlier methods.
Incidents late in the year included an attacker who drained hundreds of wallets across EVM-compatible networks, stealing under $2,000 per address during a broad low-value exploit. Onchain investigator ZachXBT also identified a suspected impersonation of Coinbase support that stole about $2.0 million over 2025.
PeckShield reported that losses from hacks and exploits fell to about $76 million in December, down roughly 60% from November’s $194.2 million. (Ed. note: Small per-victim losses can mask fraud networks with far larger aggregate theft.)
