Binance says its artificial intelligence powered security systems blocked more than $10.5 billion in potential crypto fraud losses as scammers increasingly use AI tools to launch more advanced attacks.
Key Takeaways
- Binance said its AI systems prevented $10.53 billion in potential user losses between Q1 2025 and Q1 2026.
- The exchange blocked 22.9 million scam and phishing attempts during the first quarter of 2026.
- More than 100 AI models now power 57% of Binanceβs fraud detection systems.
- The company says AI driven scams are becoming cheaper, faster, and harder to detect across the crypto industry.
What Happened?
Crypto exchange Binance revealed that its AI-based fraud detection systems stopped billions of dollars in potential losses over the past 15 months. The company said the tools protected more than 5.4 million users while identifying millions of phishing attempts and suspicious transactions.
The announcement comes at a time when crypto scams are becoming more advanced due to the growing use of artificial intelligence. Fraudsters are now using deepfakes, cloned voices, fake customer support accounts, and automated phishing bots to target users across crypto platforms.
AI Versus AI
β Binance (@binance) May 12, 2026
How #Binance Is Defending Users in the Age of Intelligent Fraud
Read here πhttps://t.co/4Hek1G6iTa
Binance Expands AI Powered Security Systems
According to Binance, the company has deployed more than 24 AI security initiatives and over 100 machine learning models to improve fraud detection and account safety. The exchange said AI now handles around 57% of its fraud prevention controls.
The company explained that its systems monitor peer-to-peer transactions, detect fake payment screenshots using computer vision, and flag suspicious account activity in real time. Binance also said its identity verification systems are designed to identify deepfakes and synthetic identities during KYC checks.
Binance stated that these automated systems helped reduce card fraud rates by 60% to 70% compared with wider industry benchmarks.
The company reported that its security systems intercepted 22.9 million scam and phishing attempts during the first quarter of 2026 alone. Binance estimated those efforts prevented approximately $1.98 billion in potential user losses during the quarter.
Additional figures shared by Binance included:
- More than 36,000 malicious wallet addresses blacklisted.
- Over 9,600 daily risk alerts issued to users.
- More than 179,000 users reached through account takeover awareness campaigns.
AI Scams Continue to Grow Across Crypto
Binance said AI is reshaping the cybersecurity landscape on both sides. While exchanges are using machine learning tools to improve detection, scammers are also using AI to automate attacks and scale operations faster than before.
The company cited internal Binance Research findings showing that AI-assisted smart contract exploits can now cost attackers as little as $1.22 per contract. Binance also said some AI driven attack systems achieved a 72.2% success rate in testing scenarios.
According to figures referenced in the report, crypto related fraud reached approximately $17 billion in 2025, reflecting a sharp increase from previous years.
Blockchain analytics firm Chainalysis previously reported that impersonation scams surged more than 1,400% in 2025, while scams linked to AI tools generated significantly higher profits compared with traditional fraud operations.
The report also highlighted growing threats from:
- Deepfake videos.
- Voice cloning scams.
- Pig butchering investment schemes.
- Address poisoning wallet attacks.
Rival exchange KuCoin recently warned users about many of these same tactics, showing how AI powered scams are becoming a broader industry problem.
Binance AI Pro Adds Extra Security Controls
Binance also introduced details about its new Binance AI Pro framework, which is designed to reduce risks linked to AI powered trading agents.
Under the system, funds managed by AI agents are separated from main user accounts and restricted to trading functions only. Withdrawals are disabled to prevent unauthorized fund movements.
The company added that third-party AI tools must pass security checks before being approved on the platform. Binance said around 12% of submitted third party tools were flagged as potentially risky.
Beyond prevention, Binance reported helping users recover $12.8 million across 48,000 cases in 2025. The exchange also said it assisted law enforcement agencies in confiscating $131 million in illicit funds while processing more than 71,000 official requests.
In its official statement, Binance said:
CoinLawβs Takeaway
In my experience, the crypto industry is entering a completely new security era where traditional fraud prevention methods are no longer enough. What stood out to me most is how cheap AI powered attacks have become. If scammers can launch sophisticated exploits for just over a dollar, the scale of future threats could grow very quickly.
I also found Binanceβs approach interesting because it combines automated detection with user education and tighter account controls. The bigger challenge ahead may not only be technology itself, but whether exchanges can stay ahead of scammers who are evolving just as fast.