The cyber threat landscape has undergone a dramatic transformation. While traditional security measures focused on detecting “traces” of files and binaries, sophisticated modern attacks deliberately bypass these classic alerts. Attackers are shifting towards “fileless attacks,” silently executing operations using legitimate tools already present within the environment—scripts, remote access tools, browsers, and critical developer workflows.
This shift creates a significant blind spot, particularly within the Web3 ecosystem. The supply chains of smart contracts, node operations, and development environments (DevOps/DevSecOps pipelines) face increasing risks from privilege escalation and data exfiltration carried out through fileless methods.
To counter this new class of threat, abandoning signature-based detection in favor of an AI-driven “Zero Trust” model is essential. AI-powered Zero Trust provides the capability to detect behavioral anomalies in real-time, even when no files or indicators are present, stopping attacks in their nascent stages. Web3 security teams must recognize this paradigm shift and prioritize AI-based behavioral analysis as their next-generation defense strategy. This approach is the key to protecting valuable assets and infrastructure from stealth attacks that conventional security postures simply cannot catch.
Source: Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators
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