Chainalysis Launches No-Code Workflows to Automate On-Chain Investigations

Chainalysis introduced a new automation feature designed to make blockchain investigation tasks easier for non-technical users. The update targets compliance teams and analysts who rely on structured workflows but often lack coding skills. The company said the tool improves speed, consistency, and accessibility across routine investigative processes.

The feature is called Workflows. It allows users to run predefined blockchain analyses without writing SQL queries or Python scripts. Chainalysis said the tool standardizes repeated tasks and removes the need for manual technical steps.

According to company representatives, Workflows modifies pre-existing investigative templates to make them more widely applicable to teams. They said the goal is to help organizations apply the same analysis methods across multiple cases with fewer delays.

Chainalysis Responds to Evolving Scam Tactics

Ekim Buyuk, senior product manager at Chainalysis, said previous approaches often required significant technical work. She noted that the new system focuses on simple investigative inputs. Buyuk said Workflows asks users about wallets, actors, and times rather than data structures.

Buyuk also pointed to research showing rapid changes in scam behavior. Chainalysis found that AI-enabled scams extracted 4.5 times more money from victims than earlier models. She said the trend reflects how fraud operations continue to expand.

One ongoing challenge for investigators is identifying scam networks that operate at scale. A single victim may lose a small amount. However, blockchain-level data can reveal thousands of affected wallets and losses that reach into the billions.

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2025 Incidents Reveal Broad Exploit Activity

A recent Chainalysis report estimated that crypto scams and fraud removed about $17 billion from users in 2025. The company linked the rise to impersonation scams and large networks that use AI tools, deepfake content, and organized laundering services.

Several incidents underscored these risks early in the year. On January 2, an attacker drained funds from hundreds of wallets across EVM-compatible networks. Many addresses lost less than $2,000 each. Onchain investigator ZachXBT described the activity as a broad, low-value exploit. The investigator suggested a potential connection to the previous Ledger incident.

Source: Chainalysis

Social-engineering cases also continued. ZachXBT identified a suspected scammer who impersonated Coinbase support and stole nearly $2 million over 2025. The case showed how criminals still rely on deception even as technical methods evolve.

PeckShield reported that overall hacking losses declined in December. Losses fell to about $76 million, down sharply from $194.2 million in November. The firm said the drop reflected fewer large-scale exploits during the month.

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