How to Prevent Ransomware

This report outlines how ransomware has grown in scale and sophistication and argues for a shift from reactive defenses to proactive, AI/ML-driven threat intelligence. It describes using contextual, entity-centric intelligence to detect early signals (e.g., exposed credentials, exploited-in-the-wild CVEs), automate remediation workflows, and prioritize defenses across people, processes, and technology. The paper recommends practical steps—such as watchboards, risk sprints, playbooks, and automated patching—and highlights AI’s role in correlating weak signals, reducing alert fatigue, and enabling faster, intelligence-led ransomware prevention.