Blockchain analytics company Chainalysis has launched a new automation feature designed to make its on-chain investigative and compliance tools accessible to a broader audience, including those without extensive technical expertise.
The feature, named Workflows, enables investigators and compliance teams to execute predefined blockchain analyses without the need for coding. This significantly reduces the reliance on custom SQL or Python queries for common investigative tasks.
Chainalysis explained that the tool aims to standardize recurring investigative processes through prebuilt templates. This approach makes these processes easier to repeat and apply across multiple cases, reflecting the company's strategy to adapt its data products for a wider user base.
Ekim Buyuk, senior product manager at Chainalysis, stated, "What previously required technical expertise and lots of time, can now be done by any user in minutes. Instead of asking users to understand data schemas, it asks investigation-level questions such as which actors, wallets, or time frames matter."
Buyuk highlighted the rapid adoption of new technologies by fraud and scam networks to scale their operations. He referenced Chainalysis research indicating that AI-enabled scams extract 4.5 times more money from victims. This pattern, he added, illustrates the growing need for investigators and compliance teams to monitor such activities.
One challenge in investigating scams is that the amount stolen from one victim may not seem like much on a relative scale, but blockchain analysis can uncover fraud networks with hundreds or thousands of victims at scales in the billions of dollars.
Crypto Scams and Fraud Trends at the Close of 2025
A recent report from Chainalysis estimates that crypto scams and fraud resulted in approximately $17 billion in losses during 2025. This figure was primarily driven by an increase in impersonation schemes and the growing industrialization of fraud operations, which increasingly leverage AI, deepfakes, and sophisticated money-laundering networks.
Several incidents late in the year underscored these risks. On January 2, an attacker drained hundreds of wallets across Ethereum Virtual Machine–compatible networks, stealing amounts under $2,000 per address. On-chain investigator ZachXBT described this as a broad but low-value exploit, potentially linked to the Ledger hack.
Social-engineering attacks also remained a persistent threat. ZachXBT recently identified a suspected scammer who impersonated Coinbase customer support and managed to steal approximately $2 million throughout 2025.
Despite these trends, blockchain security company PeckShield reported a significant decline in overall crypto hacking losses in December. Total losses from hacks and exploits fell to approximately $76 million, a 60% decrease from November's $194.2 million.