EVA AI Launches AI Powered Web3 Security Extension

EVA AI, a leading provider of decentralized security solutions, has unveiled EVA Sentinel Extension, the first AI-powered antivirus tailored specifically for Web3 users.
This revolutionary, browser-based tool offers real-time protection by auditing tokens, scanning smart contracts, and blocking malicious scripts, all without requiring a wallet connection or compromising user privacy.
As decentralized applications (dApps) gain popularity, the frequency of on-chain threats has skyrocketed. In 2024 alone, Web3 users lost over $1.7 billion to scams and exploits, with many of these incidents originating from malicious code hidden in smart contracts or websites. EVA Sentinel Extension is designed to prevent such threats before users interact with them.
EVA AI's Commitment to Web3 Security
Extiint, Co-founder of EVA AI, said, “EVA Sentinel Extension is our answer to an increasingly hostile Web3 landscape.”
He added, “Users deserve better protection, and that starts with full transparency and real-time threat detection, before a wallet is ever connected. Our mission is to deliver first-rate security for Web3 and beyond. DeFi is the future, and we’re committed to building protection that evolves alongside the groundbreaking advancements happening across the space.”
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Key Features of EVA Sentinel Extension
The EVA Sentinel Extension enhances Web3 security with real-time token and contract audits, automatic blocking of malicious scripts, and an Ultra Protection Mode that disables Web3 scripts on untrusted sites.
A color-coded logo shows threat levels instantly, while the EVA Widget lets users audit contracts, monitor transactions, and scan tokens. It also blocks harmful popups and ads, and uses a community trust system to strengthen threat detection across the ecosystem.
Unlike most security tools that require wallet connections, EVA Sentinel is wallet-free. It doesn’t manage private keys, request permissions, or store personal data, ensuring robust protection while safeguarding user privacy.