--- title: "Binance Uses AI to Prevent $10.5B Crypto Fraud" date: 2026-05-12 author: "Kelvin Scott" featured_image: "https://coinlaw.io/wp-content/uploads/2026/05/binance-uses-ai-to-prevent-10-5b-crypto-fraud.jpg" categories: - name: "Cryptocurrency" url: "/crypto.md" tags: - name: "News" url: "/tag/news.md" --- # Binance Uses AI to Prevent $10.5B Crypto Fraud 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 Binance’s 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](https://coinlaw.io/most-expensive-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 > > How [\#Binance](https://twitter.com/hashtag/Binance?src=hash&ref_src=twsrc%5Etfw) Is Defending Users in the Age of Intelligent Fraud > > Read here 👇 > > — Binance (@binance) [May 12, 2026](https://twitter.com/binance/status/2054033882073223178?ref_src=twsrc%5Etfw) ## Binance Expands AI Powered Security Systems According to [Binance](https://coinlaw.io/binance-user-statistics/), 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](https://coinlaw.io/smart-contract-security-risks-and-audits-statistics/) 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](https://coinlaw.io/chainalysis-statistics/)** 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**.](https://coinlaw.io/pig-butchering-scam-statistics/) - **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: “ AI is reshaping both sides of the security equation. It’s making attacks more scalable, more convincing, and harder to detect, while also enabling a new generation of defenses that are faster, smarter, and more adaptive. BinanceOfficial Statement ## CoinLaw’s 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 Binance’s 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. Definition of Blockchain. Link to full glossary entry follows the description.**Blockchain**A distributed digital ledger that records transactions across a network, with each block cryptographically linked to the previous one for security. [Read more](https://coinlaw.io/glossary/blockchain/)