Conventional malware defenses are reaching their limit in the Web3 landscape. Security teams are still catching known threats, but the critical danger lies in what they are missing. More attacks today are entirely fileless. They do not drop binaries, nor do they trigger classic alerts based on indicators or signatures.
Instead, these sophisticated threats run quietly by leveraging tools that already exist inside the environment—scripts, remote access platforms, browsers, and crucially, the developer workflows that underpin critical dApp deployment and infrastructure management.
This fundamental shift in attack vectors creates a profound blind spot. For Web3 projects, where compromised credentials or misused internal scripts can lead directly to smart contract exploits or infrastructure takeover, traditional EDR is fundamentally inadequate for detecting malicious internal behavior.
To fill this systemic blind spot and protect high-value blockchain assets, adopting an AI-powered Zero Trust architecture is paramount. This approach enables deep behavioral analysis necessary to detect silent incursions without relying on files or predefined indicators.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
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