Traditional malware detection methods are proving insufficient in the high-stakes environment of Web3 security. While systems focus on catching binaries and known signatures, modern attackers have pivoted dramatically. Today’s most potent attacks do not arrive as files nor do they trigger classic alerts. Instead, they execute silently through legitimate tools already present within the environment—scripts, remote access channels, browsers, and critical developer workflows.
This shift creates a profound blind spot for security teams. For Web3 projects managing high-value assets in DeFi protocols or decentralized infrastructure, an attack leveraging existing CI/CD pipelines or admin access to compromise private keys or manipulate protocol governance is catastrophic. Standard smart contract audits offer no defense against this lateral movement. To detect activity where no files or indicators are present, a paradigm shift to AI-powered Zero Trust is essential. This approach focuses on behavioral analysis and detecting anomalous workflow patterns, ensuring deep-dive detection capabilities crucial for securing decentralized ecosystems.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
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