5 Critical Mistakes to Avoid When Deploying AI in Cyber Defense Artificial intelligence promises to revolutionize cybersecurity—detecting threats at machine speed, automating tedious analyst tasks, and catching attacks that signature-based tools miss entirely. Yet many organizations implementing AI-powered security tools experience disappointing results: persistent false positives, missed threats, analyst frustration, and wasted budget. The problem isn't the technology itself. When deployed thoughtfully, AI in Cyber Defense delivers measurable improvements in detection accuracy, response speed, and analyst productivity. The issue is implementation—organizations make predictable mistakes that undermine even the most sophisticated AI platforms. Drawing from real-world SOC deployments and incident response engagements, here are five critical pitfalls to avoid.…