Bitget Releases Multi-Asset Fraud Report as Anti-Scam Month Returns

Bitget has launched the third edition of Anti-Scam Month alongside a new report on fraud in the multi-asset era. Developed with SlowMist, the study shows how scammers now combine artificial intelligence, social engineering, fake investment communities and several financial products within the same operation.

Bitget Tracks Fraud Across Multiple Markets

Bitget is expanding its security campaign as users move beyond traditional crypto trading. The exchange now connects digital assets with tokenized stocks, CFDs, wallets and AI-powered tools. This broader access creates new opportunities, but also gives scammers more ways to approach potential victims. Bitget had already placed this issue at the center of its 2026 security campaign.

According to Bitget Research, fewer than 1% of active users participated in at least two asset classes in mid-2025. By May 2026, that share had climbed above 10%. Fraud strategies have evolved with this change in behavior.

A victim may now encounter a fake expert on social media, join a fabricated investment group and receive AI-generated market advice. The final step can involve a phishing page, a malicious wallet connection or a fraudulent smart contract.

The scam is no longer a single suspicious link. It has become a sequence designed to build trust gradually. That makes detection harder, because each individual interaction can appear harmless when viewed alone.

Bitget Reports 150 Million Blocked Requests

Between July 2025 and June 2026, Bitget says its security infrastructure intercepted more than 150 million malicious requests. The company also identified over 13,000 high-risk IP addresses and managed 18,135 user protection cases.

Bitget further reports supporting the recovery of $32.3 million linked to scams and security incidents. Recovering stolen assets remains difficult because funds can move rapidly through wallets, bridges, exchanges and privacy-enhancing services.

The figures reveal the industrial scale of fraud targeting digital finance. Attackers can automate phishing campaigns, create thousands of fake accounts and test several narratives at once. They only need a small percentage of victims to respond.

Security systems must therefore analyze more than blockchain transactions. They also need to examine account behavior, login attempts, communication patterns and suspicious infrastructure before assets leave the platform.

AI Gives Old Scams a More Convincing Face

The Bitget report highlights deepfakes, voice cloning and AI-generated investment personalities among the fastest-growing threats. These tools make impersonation cheaper and more believable.

A scammer can imitate a public figure, executive or financial analyst without controlling the person’s real account. A convincing video or audio message may then direct users toward a fake investment opportunity.

Bitget and SlowMist also examined synthetic online communities. In these operations, dozens of fabricated profiles create the impression that a trading group is active and profitable. The victim sees fake testimonials, false screenshots and coordinated conversations.

This model exploits social proof. People become more willing to invest when an entire community appears to support the same opportunity. Earlier Bitget research had already warned that AI-powered scams were making deception more scalable.

Technology is not the only weakness. Urgency, fear of missing out and trust in familiar faces remain the main pressure points. AI simply packages those old tactics in a more polished form.

Bitget Turns Anti-Scam Month Into Education

Bitget launched Anti-Scam Month in 2024 to improve awareness around phishing, fake platforms and wallet theft. The 2026 edition extends that mission to a financial environment where users can move between several markets without leaving the same ecosystem.

Throughout June, Bitget plans to publish educational content and work with security researchers and industry partners. The goal is to help users recognize suspicious behavior before an incident occurs.

The report also studies what happens after a theft. Investigators must trace funds across networks, identify links to known infrastructure and contact platforms quickly. Delays reduce the chance of freezing or recovering assets.

Yet no security system can remove every risk. Users still need to verify official channels, question guaranteed returns and avoid connecting wallets through unverified links. A realistic-looking profile should never replace independent verification.

Bitget’s broader message is that security must evolve at the same speed as financial products. As its Universal Exchange model brings crypto and traditional markets closer together, the company is also widening its definition of user protection. The third Anti-Scam Month builds on Bitget’s earlier anti-fraud campaign by treating education, detection and recovery as parts of the same defense system.