Binance Says AI Systems Blocked $10.5B in Crypto Fraud Over 15 Months

TLDR

• Binance said AI defenses prevented over $10.5B in potential user losses over 15 months.
• The exchange said it protected more than 5.4M users from crypto fraud and scams.
• Binance blocked 22.9M scam and phishing attempts in the first quarter of 2026.
• Binance said it uses over 100 AI models across fraud detection and compliance systems.
• The exchange helped recover $12.8M and supported $131M in illicit fund seizures in 2025.

Binance said its artificial intelligence security systems prevented more than $10.5 billion in potential crypto fraud losses between the start of 2025 and the first quarter of 2026, as scammers increasingly use AI tools to target digital asset users.

The exchange said its systems protected more than 5.4 million users during the period. The disclosure comes as crypto-related fraud becomes more automated, cheaper to launch and harder for users to identify.

According to Binance, fraud losses across the crypto sector reached about $17 billion in 2025, up 30% from the previous year. The exchange said criminals are using deepfake videos, voice cloning, phishing bots and impersonation schemes to deceive users across social media, messaging apps and fake investment platforms.

Binance said AI-powered scams now make up a large share of severe fraud cases. The company said 76% of AI-driven scams fall into the highest category for scale and severity.

Binance Blocks 22.9 Million Scam Attempts

Binance said its systems intercepted 22.9 million scam and phishing attempts in the first quarter of 2026 alone. The company said those actions protected about $1.98 billion in user funds during the quarter.

For 2025, Binance reported preventing $6.69 billion in potential scam losses. Of that amount, about $3.9 billion was linked to confirmed scam attempts, including account takeovers, fake investment schemes and phishing activity.

The company said fraud attempts have become faster because AI tools reduce the cost and effort required to create convincing attacks. According to Binance research, some smart contract exploit attempts can now cost bad actors as little as $1.22 per contract.

The exchange also said advanced AI models have reached a 72.2% success rate in certain attack scenarios. That figure points to the growing challenge facing crypto platforms as attackers use automation to test vulnerabilities and scale campaigns.

More Than 100 AI Models Used for Security

Binance said it had deployed more than 24 AI security initiatives and over 100 AI models by late 2025. These systems are used across fraud detection, phishing prevention, account protection and compliance monitoring.

The company said AI now powers 57% of its fraud controls. It also said the technology helped reduce card fraud rates by 60% to 70% compared with industry benchmarks.

Binance reported that its AI compliance tools reduced phishing success rates eightfold and cut illicit fund exposure by 96%. The exchange said the systems are designed to detect suspicious behavior across login activity, transaction patterns and external threat signals.

The company also introduced Binance AI Pro, a product designed to limit risks linked to AI-managed trading tools. Under the structure, funds managed by AI agents are separated from main user accounts, and permissions are restricted to trading only, with no withdrawal access.

Binance said about 12% of third-party tools submitted to its marketplace were flagged as potentially risky. The company said this screening process is meant to reduce exposure to tools that may misuse user permissions or create security gaps.

Recovery and Law Enforcement Work Expands

Beyond blocking fraud attempts, Binance said it helped recover $12.8 million across 48,000 cases in 2025. That represented a 41% increase from the previous year.

The exchange also said it assisted authorities in confiscating $131 million in illicit funds during 2025. It processed more than 71,000 law enforcement requests over the same period.

Binance said the rise of AI-driven fraud requires security systems to evolve across platform design, user behavior and operational controls. The company said defenses need to be embedded across products rather than treated as a separate layer.

The data reflects a wider trend in crypto security. Exchanges and wallet providers are investing more in automated fraud prevention as criminals use the same technology to create fake identities, spoof trusted contacts and launch high-volume phishing attacks.

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