Traditional vs AI-Powered Cyber Defense: A Technical Comparison Security teams face a critical decision: continue refining traditional rule-based security tools or invest in AI-powered alternatives. With limited budgets and persistent talent shortages, choosing the wrong approach carries real consequences—prolonged breach dwell times, missed threats, and analyst burnout from alert fatigue. The debate around AI in Cyber Defense often generates more heat than light. Vendors promise AI will solve all security problems, while skeptics dismiss it as overhyped snake oil. The reality, as usual, lies somewhere in between. This comparison examines the technical strengths and limitations of each approach to help security professionals make informed architecture decisions. Detection Methodology: Rules vs Learning Traditional Signature-Based Detection Traditional intrusion detection systems (IDS), antivirus software, and SIEM correlation rules work by matching observed activity against known bad patterns.…