As the Web3 ecosystem rapidly expands, its security requirements must evolve. Unfortunately, traditional security models still heavily rely on detecting attacks based on “files” or “known indicators,” creating a critical blind spot in the face of modern threats.
The current attack trend is evident: adversaries are increasingly avoiding dropping binaries or triggering classic malware alerts. Instead, they operate silently by abusing legitimate tools already present within the environment—scripts, remote access features, browsers, and developer workflows. Supply chain attacks on DeFi protocols and script injections during wallet interactions are prime examples of this “fileless attack” methodology.
In Web3 environments, particularly at the infrastructure and development layers, this shift poses a severe risk. Security teams face a surge in anomalous operations utilizing standard tools that traditional signature-based detection cannot catch.
The key to overcoming this challenge is AI-Powered Zero Trust. Regardless of files or indicators, AI learns the baseline normal behavior of every entity within the environment and detects deviations in real-time. This capability allows security practitioners to catch stealthy attacks utilizing internal tools and threats unrecognizable by existing security stacks. To safeguard the integrity of Web3 assets, migrating to this new defense paradigm is imperative.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
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