According to the company’s announcement, its proprietary AI helped identify 90.2% of newly blocked risky domains during the first four weeks of Q4, up from 70.2% in Q3 and 36.3% in Q2. Nearly 70% of those domains had no corresponding alerts in external threat intelligence databases.
Kan explained that the detection system combines AI analysis, rule based screening and human review. He added that the absence of alerts in external databases does not necessarily mean those providers missed the threats, as detection criteria and listing times can vary.
Phishing related signing risks accounted for 57.4% of detections across four monitored categories in Q3, followed by malicious addresses at 16.5%, risky contracts at 14.2% and malicious approvals at 11.8%.
The company has expanded AI assisted analysis integrated with GetShield, its proprietary security engine, which examines website code, domain characteristics and similarities to legitimate websites to identify suspicious activity. The system also simulates transactions and examines signing permissions to detect hidden approvals, unexpected asset transfers and other risks before users authorize transactions.
Kan confirmed that GetShield and AI threat detection are available to all Bitget Wallet users at no additional cost. The protections are integrated into website visits, DApp connections and transaction signing.
The wallet did not disclose its false positive rate but said its security system can issue warnings, request additional confirmation or block interactions depending on their risk level. Users who believe a website or DApp was incorrectly flagged can contact the company’s support team for a security review.
Kan said the detection process does not upload private keys, recovery phrases or sensitive personal data. However, the company did not specify whether its AI analysis runs on users’ devices or its servers, or whether third party language models are involved.
The expansion comes as attackers increasingly use AI to generate convincing phishing websites and deceptive content. Kan said these tools allow attackers to develop and test scams at scale, prompting Bitget Wallet to continuously refine its detection capabilities and incorporate external threat intelligence.
The company also cited Chainalysis research showing that scams linked to AI vendors generated 4.5 times more revenue per operation than those without such links.
“No detection system can catch every emerging threat,” Kan said, adding that the wallet combines AI analysis with external threat intelligence and multiple layers of transaction security checks.
Bitget Wallet plans to further expand AI driven threat detection and explore AI assisted incident response under human oversight.