Odaily: Bitget Wallet has announced that it is strengthening AI risk monitoring, using AI to analyze webpage code, domain characteristics, and similarity to legitimate websites in order to identify suspicious websites beyond known threat databases. According to its internal data, among newly banned risk domains in October 2026, the share identified with the involvement of its self-developed AI reached 90%, up from 36% in the second quarter. Of these, nearly 70% of the domains were flagged by AI when external security intelligence databases had not issued corresponding alerts, showing that AI provides additional identification capability beyond existing risk lists.
Bitget Wallet's internal monitoring in the third quarter shows that phishing-related signature risks accounted for 57% of records across four categories of risk detection, followed by malicious addresses (17%), high-risk contracts (14%), and malicious approvals (12%). Bitget Wallet's AI risk monitoring capability will work in coordination with the GetShield security engine, combining malicious address and contract screening, signature permission checks, and transaction result simulation to alert users to potential risks before they authorize.
As wallet use cases extend into payments and everyday finance, Bitget Wallet plans to further expand AI-driven risk monitoring capabilities and explore the use of AI to assist security incident response under human supervision, in order to identify emerging risks and accelerate response times.
