Binance says its AI risk systems blocked US$10.53B in potential user losses from 2025 through Q1 2026 and protected 5.4M+ users, but the figure is a company reported prevention estimate—not a recovered loss total.[10]... The reported stack includes 24+ AI initiatives, 100+ anti fraud models, a Strategy Factory risk...

Create a landscape editorial hero image for this Studio Global article: Binance Says AI Blocked $10.53B in Crypto Fraud: How Its Defense Stack Works. Article summary: Binance says its AI stack blocked $10.53B in potential losses from 2025 through Q1 2026 and protected 5.4M+ users.. Topic tags: crypto, binance, ai, crypto security, fraud. Reference image context from search candidates: Reference image 1: visual subject "Title: Crypto Fraud: How AI Is Changing the Game | Ukrainian News | LIGA.net # Crypto Fraud Is on the Rise. AI Makes Attacks Mass-Scale and Cheap. Artificial intelligence is rapidl" source context "Crypto Fraud: How AI Is Changing the Game | Ukrainian News | LIGA.net" Reference image 2: visual subject "Title: Binance: AI Blocks $10B Losses | Flash News Detail | Blockchain.News Binance: AI Blocks $10B Losses | Flash News Detail | Blockchain.News. 5/2/2026 3:00:00 PM. # Bina
Binance’s latest AI-security numbers are less a single product launch than a snapshot of where crypto security is heading: automated, model-driven defense against increasingly automated scams. Binance Research says enhanced AI-powered detection blocked US$10.53 billion in potential losses from 2025 through Q1 2026, while reports summarizing Binance’s security disclosure say the systems protected more than 5.4 million users.[10][
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The important word is potential. The US$10.53 billion figure is a blocked-loss estimate, not a total of stolen funds recovered after the fact. Public reports available for this claim present the number as Binance-reported, so it is best read as a scale indicator for activity the exchange says it intercepted—not independent proof that every dollar would otherwise have been stolen.[3][
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Binance says its AI risk systems blocked US$10.53B in potential user losses from 2025 through Q1 2026 and protected 5.4M+ users, but the figure is a company reported prevention estimate—not a recovered loss total.[10]...
Binance says its AI risk systems blocked US$10.53B in potential user losses from 2025 through Q1 2026 and protected 5.4M+ users, but the figure is a company reported prevention estimate—not a recovered loss total.[10]... The reported stack includes 24+ AI initiatives, 100+ anti fraud models, a Strategy Factory risk tool, daily risk alerts and blacklists of 36,000+ malicious addresses.[5][17][22]
The timing matters: Chainalysis estimated US$17B was stolen in crypto scams and fraud in 2025, with impersonation scams up 1,400% and AI enabled scams 4.5x more profitable.[41]
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Binance says it blocked 22.9M AI attacks, preventing $10.5B in losses May 11, 2026, 1:27 PM Binance announced it has blocked over 22.9 million AI-based fraud and phishing attacks, preventing an estimated $10.53 billion in potential damages, according to its...
| Metric | What Binance reported | Why it matters |
|---|---|---|
| Potential user losses blocked | US$10.53B from 2025 through Q1 2026 | The core prevention claim behind Binance’s AI-security push.[ |
| Users protected | More than 5.4M | Shows the claimed user-level reach of the program.[ |
| Q1 2026 scam and phishing attempts blocked | About 22.9M attempts involving nearly US$1.98B in protected funds | Indicates the volume of interventions Binance says occurred in one quarter.[ |
| AI initiatives and models | 24+ AI initiatives and 100+ AI models | Binance frames AI as a broad compliance and anti-fraud layer, not a single tool.[ |
| Risk alerts and address blacklists | 9,600+ daily risk alerts on average; 36,000+ malicious addresses blacklisted | These are the user-warning and suppression mechanisms described in report summaries.[ |
| Separate 2025 anti-scam results | US$6.69B in potential fraud and scam losses prevented; US$12.8M+ in stolen assets recovered | Shows why prevention and recovery figures should not be treated as the same category.[ |
The distinction between blocked potential losses and recovered assets is crucial. A prevention metric estimates risky activity stopped before completion. A recovery metric refers to funds already stolen and later returned or secured. Binance reports both kinds of numbers, but they measure different outcomes.[11][
17]
Binance Research says the exchange has set up more than 24 AI initiatives across compliance, with more than 100 AI models powering anti-fraud controls. It also says this anti-fraud stack reduced illicit fund exposure by 96%.[17]
At the center of the description is a custom risk and fraud detection tool called Strategy Factory. Binance Research says it combines business-aware optimization, modular rule construction and continuous refinement, suggesting a system that can adjust detection rules and model-driven risk controls as scam behavior changes.[17]
In practical terms, the stack can be understood in three layers:
Binance says its AI-based risk controls are used to identify threats including deepfakes, phishing scams and AI-powered social engineering attacks.[10] The company’s broader claim is that models and rules work together to spot suspicious behavior earlier, before a risky action turns into a completed loss.[
17]
Report summaries say Binance sends real-time risk alerts at an average pace of more than 9,600 per day.[5][
22] These alerts are the human-facing part of the system: even when models detect risk, users may still need to pause, verify a counterparty or abandon a suspicious transaction.
Binance also says it has blacklisted more than 36,000 malicious addresses.[5][
22] Address blacklists help exchanges flag or block known scam infrastructure, especially when the same wallets or networks appear across multiple fraud attempts.
The exchange’s security narrative is built around a simple problem: attackers are using AI too. Reports on Binance’s latest security push describe crypto security as an “AI vs. AI” arms race because artificial intelligence lowers the barrier for criminals to create deepfakes, voice clones and more convincing phishing campaigns.[2]
Binance Research has warned that AI is currently twice as effective at exploitation as detection in crypto, highlighting an asymmetry between attackers and defenders.[1] Chainalysis’ broader crypto-crime data points in the same direction: it estimated that US$17 billion was stolen in crypto scams and fraud in 2025, while impersonation scams rose 1,400% year over year and AI-enabled scams were 4.5 times more profitable than traditional scams.[
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That helps explain why AI spending is becoming a financial-crime priority beyond crypto. Binance Research says 75% of financial institutions plan to increase AI spending on financial-crime detection, and it compares Binance’s claimed US$10.53 billion in blocked potential losses with JPMorgan AI systems preventing an estimated US$1.5 billion in fraud losses.[17]
Binance’s largest number is about activity it says was stopped before losses occurred. Its recovery figures are much smaller, and they come from separate anti-scam reporting.
In a 2025 anti-scam update, Binance said it prevented US$6.69 billion in potential fraud and scam losses, including US$3.9 billion related to scam attempts, and recovered more than US$12.8 million in stolen assets.[11] Fortune India separately reported that Binance processed more than 71,000 law-enforcement requests, supported the confiscation of about US$131 million linked to illicit activity and delivered more than 160 law-enforcement training sessions in 2025.[
48]
Those categories should not be added together as if they measure the same thing. Potential losses blocked, funds protected, stolen assets recovered and assets confiscated with law enforcement all depend on different definitions and workflows.[11][
17][
48]
The figures support one clear conclusion: Binance is positioning AI as core security infrastructure across fraud detection, compliance controls and user protection.[10][
17] If the company’s figures are directionally accurate, its automated defenses are operating at very large scale across millions of users and billions of dollars in risky or attempted activity.[
3][
10][
17]
But the numbers still require caution. Most public accounts of the US$10.53 billion figure trace back to Binance’s own disclosure or Binance Research, so the total remains a company-reported prevention estimate.[3][
10][
17] In a separate 2025 context, ICIJ reported that Chainalysis said a Binance report on improving financial crime did not include key crime data, underscoring why exchange crime statistics depend heavily on scope, definitions and methodology.[
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For users, the practical takeaway is not that AI makes crypto safe by default. It is that exchanges are trying to catch suspicious behavior earlier while scammers use AI to make impersonation, phishing and social engineering more convincing.[2][
10][
41] Risk alerts and address blacklists can help, but the human step still matters: urgent support messages, deepfake videos, pressure to move funds and unfamiliar wallet instructions should be treated as high-risk signals.
Binance Says AI Security Systems Blocked $10.53B in Risky Funds Since 2025 Binance released an AI security report stating that its AI-based risk control systems prevented approximately $10.53 billion in potential user losses between early 2025 and Q1 2026,...
- In 2025, out of the overall $6.69 billion in potential fraud and scam losses that Binance prevented – including account takeover and bank transfer fraud losses – 3.9 billion were related to scam attempts. - In addition to recovering more than $12.8 millio...
Binance recasts AI as core security infrastructure, saying 24+ initiatives and 100+ models have blocked $10.53B in risky funds from 2025 through Q1 2026. Summary - Binance says it now runs more than 24 AI security programs powered by over 100 AI models that...
- 75% of financial institutions plan to further increase AI spending on financial crime detection. JPMorgan's AI systems prevented an estimated US$1.5B in fraud losses, and Binance's enhanced detection blocked US$10.53B from 2025 to Q1 2026. ... Crypto exch...
Crypto World News: Binance has released its latest security report, addressing the rapid rise of AI scams. They've deployed over 24 AI security initiatives and integrated more than 100 AI models to build a smart defense system. From early 2025 to Q1 2026, B...
TL;DR - We estimate $17 billion was stolen in crypto scams and fraud in 2025 — as impersonation scams show massive 1400% year-over-year (YoY) growth. AI-enabled scams were 4.5 times more profitable than traditional scams. - Major scam operations became incr...
Binance blocks $6.69 billion in potential fraud, protects 5.4 million users, says report ... The exchange processed over 71,000 law enforcement requests, supported the confiscation of about $131 million linked to illicit activity, and delivered over 160 law...
After the International Consortium of Investigative Journalists revealed hundreds of millions of dollars worth of suspect cryptocurrency landed in Binance accounts, the exchange claimed illicit activity on its platform had dropped sharply since 2023. But le...