Bitget has unveiled the third iteration of its Anti-Scam Month, complemented by a comprehensive report on fraud in the multi-asset trading environment. Collaborating with the cybersecurity firm SlowMist, the study reveals that modern scammers are increasingly using advanced tactics, combining artificial intelligence, social engineering, and fake investment communities into cohesive schemes.
As users transition from traditional crypto trading to a wider array of asset classes, Bitget is actively addressing the heightened risk of fraud linked to this evolution. The platform now encompasses digital assets, tokenized stocks, contracts for difference (CFDs), wallets, and AI-powered tools, broadening both legitimate investment avenues and the methods available to fraudsters. This shift is central to Bitget’s security focus for 2026.
Research from Bitget indicates a notable increase in user participation across various asset categories. While less than 1% of active users engaged in multiple asset classes by mid-2025, that figure surged to over 10% by May 2026, prompting a transformation in the tactics employed by fraudsters.
In a common scenario, potential victims might come across a fraudulent expert on social media, join a fictitious investment group, and receive AI-generated insights. Ultimately, these schemes might lure individuals to phishing sites, leading to unauthorized wallet connections or fake smart contracts. Such scams are evolving from isolated incidents to elaborate multi-step schemes that gradually build trust, complicating detection efforts.
Between July 2025 and June 2026, Bitget reported that its security measures thwarted over 150 million malicious attempts, identified more than 13,000 high-risk IP addresses, and handled upwards of 18,135 user protection cases. Additionally, the company has facilitated the recovery of $32.3 million tied to scams and security breaches.
The scale of fraud in the realm of digital finance is alarming. Attackers can automate phishing operations, churn out thousands of fake accounts, and experiment with various narratives, often succeeding with just a small fraction of engaged victims.
The Bitget report underscores the rising threat posed by deepfakes, voice cloning, and AI-generated personas. These technologies enable fraudsters to convincingly impersonate public figures or financial professionals, utilizing realistic audio or video messages that direct victims toward fraudulent investment opportunities.
The study also spotlights synthetic online communities, wherein a series of fabricated profiles create the illusion of active and lucrative trading groups. This tactic relies heavily on social proof, making individuals more inclined to invest when they see apparent consensus around a profitable opportunity. Previous research has indicated that AI-enhanced scams are making fraudulent operations increasingly scalable.
In addition to technological vulnerabilities, human psychological factors, such as urgency and the fear of missing out, play significant roles in the success of these scams. AI merely refines these existing strategies, making them more persuasive.
Bitget launched its Anti-Scam Month in 2024 to raise awareness about phishing attacks, counterfeit platforms, and wallet theft. The 2026 initiative aims to educate users further as they navigate a diversified financial ecosystem. Throughout June, Bitget is set to release educational materials and collaborate with security professionals and industry partners, aiming to equip users with the skills needed to identify red flags before any incidents arise.
The report also discusses the intricate processes required post-theft, including tracing stolen funds across various networks and platforms. Prompt action is crucial; delays can severely hinder the chances of asset recovery.
Despite the robust security measures, users must remain vigilant, verifying official channels and being wary of guaranteed returns or links to unverified wallets. A convincing profile should never substitute for independent validation.
Bitget emphasizes that as financial products evolve, security measures must advance in tandem. By aligning its Universal Exchange model to bridge the gap between crypto and traditional markets, the company is expanding its approach to user protection. The third Anti-Scam Month continues to build on earlier initiatives, emphasizing education, detection, and recovery as integral components of a comprehensive defense strategy.
