5 Critical Mistakes to Avoid When Deploying AI Cyber Defense I've watched multiple organizations spend six figures on AI-powered security tools only to disable them within months because of overwhelming false positives, integration nightmares, or analyst distrust. The technology absolutely works—companies like CrowdStrike and Darktrace prove that daily—but successful deployment requires avoiding several common pitfalls that plague first-time implementations. These mistakes are predictable, avoidable, and unfortunately, extremely common. Before diving into implementation, it's worth understanding why so many AI Cyber Defense projects stumble. The root cause is usually misaligned expectations: organizations expect AI to work like traditional signature-based tools but with better accuracy. In reality, AI requires different operational approaches, cleaner data, and closer collaboration between data scientists and security analysts. Let's explore the specific mistakes that derail projects and how to avoid them.…