Modern cyberattacks no longer rely on dropping classical malware files or known binaries. This trend is highly pronounced in the Web3 domain. Attackers are quietly exploiting tools already existing within the environment—scripts, remote access tools, browsers, and developer workflows—to bypass traditional defenses. Deployment environments for DeFi protocols, scripts used for wallet integration, and CI/CD pipelines are prime targets. Because these attacks are fileless and do not rely on dropping known indicators, traditional signature-based security systems struggle profoundly to detect them. This surge in “Living Off the Land” (LotL) tactics creates a significant blind spot for Web3 security teams. To overcome this challenge, the adoption of AI-powered Zero Trust models is critical. AI analyzes behavioral anomalies and patterns in real-time, regardless of the presence of malicious files, allowing for the detection of attacker activity disguised as legitimate use of existing tools. Ensuring the integrity of Web3 infrastructure and protecting user assets requires a crucial shift towards advanced, behavior-based defense strategies capable of identifying these silent threats.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
コメント