TLDR
- Binance says its AI security systems stopped $10.53 billion in potential user losses between Q1 2025 and Q1 2026.
- In Q1 2026 alone, 22.9 million scam and phishing attempts were blocked, protecting $1.98 billion in funds.
- AI now powers 57% of Binance’s fraud controls, cutting card fraud rates 60–70% below industry benchmarks.
- Binance helped recover $12.8 million across 48,000 fraud cases, a 41% year-over-year increase.
- Crypto-related fraud hit $17 billion in 2025, up 30% from the year before, as AI lowers the cost of attacks.
Binance, the world’s largest cryptocurrency exchange by trading volume, says its artificial intelligence security systems blocked more than $10.5 billion in potential user losses over 15 months, from the start of 2025 through the first quarter of 2026.
LATEST: ⚡ Binance says its AI security systems blocked $10.53 billion in potential user losses and safeguarded 5.4 million users between January 2025 and Q1 2026. pic.twitter.com/XguI0jix0m
— CoinMarketCap (@CoinMarketCap) May 11, 2026
The exchange published the figures in a blog post on Monday. It said the systems intercepted 22.9 million scam and phishing attempts in Q1 2026 alone, protecting around $1.98 billion in user funds during that period.
The company said it has deployed more than 24 AI-driven security initiatives and over 100 models. AI now powers 57% of its fraud controls, which it says has contributed to a 60–70% reduction in card fraud rates compared to industry benchmarks.
On the identity side, Binance said its know-your-customer systems have evolved to detect deepfakes and synthetic identities. The company claims these upgrades deliver up to 100 times the operational efficiency of traditional manual checks.
Computer vision is used to flag fake payment proofs. Real-time language analysis scans peer-to-peer transactions for scam patterns. The exchange said these tools work together to catch fraud before users are harmed.
What the Numbers Show About Crypto Fraud
Crypto-related fraud reached $17 billion in 2025, a 30% increase from the prior year, according to Binance’s own research. The company says AI is making attacks cheaper and faster for bad actors.
Smart contract exploits now cost attackers as little as $1.22 per contract, down 22% month-over-month. Advanced AI models are achieving a 72.2% success rate in attack scenarios. Binance says 76% of AI-driven scams now rank in the highest tier for scale and severity.
Fraudsters are using deepfakes, voice cloning, phishing bots, and impersonation schemes to target users across messaging platforms.
Recovery efforts have grown alongside the threat. Binance said it helped recover $12.8 million across 48,000 cases in 2025, a 41% year-over-year rise. It also assisted authorities in confiscating $131 million in illicit funds and processed more than 71,000 law enforcement requests.
New Tools and Industry Comparisons
Binance introduced a new product called Binance AI Pro, which is designed to contain risk at the architecture level. Under this system, funds managed by AI agents are separated from main user accounts. Permissions are limited to trading only, with no withdrawal access. The company said around 12% of third-party tools submitted to its marketplace have been flagged as potentially risky.
The exchange also rolled out a withdrawal lockdown feature to reduce the risk of physical attacks on users, which security firm CertiK says are on pace to exceed last year’s record.
For comparison, JPMorgan estimated last year that its AI security systems helped prevent around $1.5 billion in fraud losses.
Binance said it works with Tether and Tron as part of the T3 security unit, which recently froze a record $344 million in USDT linked to Iranian entities. The exchange has also processed more than 71,000 formal law enforcement requests to date.
