Bitget Wallet Strengthens AI Risk Monitoring, with 90% of October's Blocked Domains Identified by AI

on November 11, Bitget Wallet announced enhanced AI risk monitoring. Through AI analysis of webpage code, domain name features, and similarities with legitimate websites, it identifies suspicious sites beyond known threat databases. According to internal data, in October 2026, its proprietary AI was involved in identifying 90% of newly banned risky domains, an increase from 36% in the second quarter. Of these, nearly 70% were flagged by AI when external security intelligence databases had not issued corresponding alerts, demonstrating that AI supplements existing risk lists with additional identification capabilities.

Internal monitoring at Bitget Wallet during the third quarter revealed that phishing-related signature risks accounted for 57% of the four types of risk detection records, followed by malicious addresses (17%), high-risk contracts (14%), and malicious authorizations (12%). Bitget Wallet’s AI risk monitoring will collaborate with the GetShield security engine, integrating malicious address and contract screening, signature permission checks, and transaction result simulation to warn users of potential risks before authorization.

As wallet use cases extend into payments and everyday finance, Bitget Wallet plans to further expand its AI-driven risk monitoring capabilities and explore using AI-assisted security incident response under human oversight to identify emerging threats and accelerate response speeds.