Trugard and Webacy have launched a machine learning–powered AI tool to detect crypto wallet address poisoning, claiming a 97% success rate.
Crypto cybersecurity firm Trugard and onchain trust protocol Webacy have developed an artificial intelligence-based system for detecting crypto wallet address poisoning.
According to a May 21 announcement shared with Cointelegraph, the new tool is part of Webacy’s crypto decisioning tools and “leverages a supervised machine learning model trained on live transaction data in conjunction with onchain analytics, feature engineering and behavioral context.”
The new tool purportedly has a success score of 97%, tested across known attack cases. “Address poisoning is one of the most underreported yet costly scams in crypto, and it preys on the simplest assumption: That what you see is what you get,” said Webacy co-founder Maika Isogawa.
