News linked to both this project and an event.
According to the “2026 Anti-Fraud Report” jointly released by Bitget and SlowMist, as digital finance continues expanding into equities, tokenized assets, and AI tools, cross-asset trading is gradually emerging as a key trend for user participation in markets. The proportion of users engaging in cross-asset portfolio allocation has risen from less than 1% in mid-2025 to over 10% by May 2026. The report notes that fraud techniques are evolving from single-point attacks toward sophisticated attack chains—integrating AI-generated content, deepfakes, voice cloning, and multi-channel social engineering. Between July 2025 and June 2026, Bitget’s security system intercepted over 150 million malicious requests, identified more than 13,000 high-risk malicious IPs, and assisted users in recovering approximately $32.3 million in funds linked to security incidents and fraudulent activities. Gracy Chen, CEO of Bitget, stated: “This year marks the third annual Anti-Fraud Month initiative. Bitget will continue rolling out security education content, risk identification guides, and industry collaboration programs to help users enhance their ability to detect and defend against AI-powered fraud, phishing attacks, and scams occurring across multi-asset scenarios.”
Bitget Chief Legal Officer Hon Ng issued an open letter today, announcing the official launch of Bitget’s 2026 Global Anti-Fraud Month campaign under the theme “More Assets, Stronger Protection.” In the letter, Hon Ng noted that as the platform expands from crypto assets to a multi-asset ecosystem, users are facing increasingly complex cybersecurity threats while enjoying broader market access. He emphasized: The multi-asset era means greater responsibility. User protection is not a one-time project but the collective result of continuous risk monitoring, rapid response, security education, and industry collaboration.The open letter also disclosed Bitget’s security and anti-fraud achievements for 2025. Data shows that Bitget intercepted over 150 million malicious attack requests throughout the year, identified more than 13,000 high-risk malicious IP addresses, handled 18,135 user protection cases, and assisted users in recovering approximately $32.3 million in funds related to security incidents and fraudulent activities. Additionally, Bitget’s security system achieved over 2.8 billion risk interceptions through custom protection rules, repelled more than 1.5 billion DDoS attack attempts, and introduced machine learning-based behavioral analysis capabilities to further identify suspicious activities and potential risks.