Blockchain analytics company Chainalytic has rolled out a modern automation feature that aims to expand access to onchain investigative and compliance tools beyond technical users.
A feature called Workflows allows investigators and compliance teams to perform predefined blockchain analyzes without writing code, reducing the reliance on custom SQL or Python queries.
Chain analysis he said Cointelegraph says the tool aims to standardize common investigative processes with pre-built templates, making them easier to repeat and apply across multiple cases as the company adapts its data products for a wider range of users.
“What previously required technical knowledge and a lot of time can now be done by any user in a matter of minutes,” said Ekim Buyuk, senior product manager at Chainalytic. “Rather than asking users to understand data patterns, it asks inquiry-level questions such as which actors, portfolios, or time frames matter.”
Buyuk said fraud and fraud networks are often quick to adopt modern technologies to scale their operations, pointing to Chainalytic tests indicating that AI scams extract 4.5 times more money from victims. He added that the diagram illustrates the types of activities that inspectors and compliance teams are increasingly being asked to monitor.
One of the challenges in investigating fraud is that the amount stolen from one victim may not seem huge on a relative scale, but blockchain analysis can uncover fraud networks involving hundreds or thousands of victims on a scale reaching into the billions of dollars.
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Cryptocurrency Scams and Scams in Late 2025
A recent report by Chainalytic estimates that cryptocurrency scams and fraud approximately $17 billion was leaked in 2025 amid a surge in impersonation schemes and the increasing industrialization of AI-based fraud operations, deepfakes and professional money laundering networks.
Several incidents towards the end of the year highlighted this risk. On January 2, an attacker emptied hundreds of wallets on networks compatible with the Ethereum Virtual Machine, stealing amounts of less than $2,000 per address, in what onchain researcher ZachXBT described as a broad but low-value exploit that may be related to the Ledger hack.
Social engineering attacks have also continued, with ZachXBT recently identifying a suspected fraudster who impersonated Coinbase customer service and stole approximately $2 million in 2025.
Still, blockchain security firm PeckShield said overall cryptocurrency hacking losses dropped sharply in December, with total losses from hacks and exploits dropping to about $76 million, a 60% decline from November’s $194.2 million.
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