On-chain data analysis platform launches automated investigation tool to combat AI-driven cryptocurrency fraud

Source: TokenPost Original Title: Chainalysis Launches ‘Workflows’ to Automate On-Chain Fraud Investigations for Faster Response Original Link: https://www.tokenpost.kr/news/blockchain/325028

On-Chain Investigation Automation Tool Launches

Blockchain data analysis company Chainalysis has introduced an automation feature called “Workflows” that requires no coding, aiming to lower the barriers for on-chain crime investigations and compliance oversight.

The company officially rolled out this feature so that investigators and compliance teams without technical expertise can directly analyze blockchain data. Workflows are tools that allow predefined analysis templates to be executed without writing complex code like SQL or Python. The company states, “This enables standardized execution of repetitive investigations, thereby improving productivity and consistency.”

A product manager at Chainalysis said, “In the past, this was a time-consuming task requiring technical skills, but now anyone can complete it in minutes. This tool doesn’t require users to understand complex data structures but helps investigators focus on their core questions.”

Fraud Escalation in the AI Era, Losses Could Reach $17 Billion by 2025

Recently, criminals have rapidly adopted new technologies like artificial intelligence, continuously upgrading their scam techniques. Internal investigations at Chainalysis show that AI-driven scams are, on average, 4.5 times more profitable for victims than traditional methods.

According to the “2025 Cryptocurrency Fraud and Malfeasance Report” published by Chainalysis, the total losses last year amounted to approximately $17 billion. The significant increase in losses is driven by the “industrialization” of fraud using AI, deepfake technology, and organized money laundering networks.

On January 2, 2026, an attacker hacked into hundreds of wallets on an Ethereum Virtual Machine (EVM)-compatible network, stealing less than $2,000 from each. Although the scale was limited, the event attracted attention due to its systematic design. On-chain analysts suggest this incident may be related to the Ledger hack that occurred last year.

Additionally, social engineering scams continue to persist. On-chain analysts tracked a suspect believed to have stolen about $2 million during 2025, who impersonated customer service of a compliance platform.

Positive Signal: Security Capabilities Gradually Strengthening

Blockchain security firm reported that in December last year, the total losses from cryptocurrency hacking attacks were $7.6 million, a decrease of about 60% from $194.2 million in November, indicating that security defenses are continuously improving.

On-Chain Investigation Goes Mainstream: AI-Driven Security Measures Officially Launched

The launch of the Workflows tool by Chainalysis demonstrates the evolution of data analysis systems in responding to increasingly complex cryptocurrency crimes. Especially amid the expanding AI-driven fraud landscape, the infrastructure enabling more users to analyze on-chain information and develop countermeasures is growing, which is of great significance.

As scam networks grow in scale and diversify their tactics, whether these automation tools can contribute to the overall security of the cryptocurrency ecosystem remains to be seen.