While security teams in the Web3 space are still focused on traditional malware detection, the critical problem lies in what they are failing to catch. Modern attacks rarely involve dropping binaries or triggering classic file-based alerts. Instead, they operate quietly by ‘Living Off The Land’ (LoTL), executing through tools already inherent in the environment—be it malicious scripts in developer workflows, compromised remote access, browser exploits targeting wallets, or abused CI/CD pipelines.
This behavioral shift creates a significant blind spot for security models reliant on static smart contract analysis or known signature indicators. AI-Powered Zero Trust directly addresses this gap. By focusing not on files, but on detecting anomalous behavior within development environments, runtime execution of dApps, and privileged access flows, AI can identify and neutralize sophisticated, fileless attacks that utilize legitimate infrastructure—a crucial capability for hardening the Web3 perimeter.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
コメント