Learning from Failed Implementations Security leaders invest millions in AI-driven defense platforms, expecting transformative results. Yet many implementations fail to deliver promised value. Analysts still drown in false positives, critical threats slip through undetected, and automation triggers operational disruptions. These failures rarely stem from technology limitations—they result from predictable mistakes during planning and deployment. Understanding these pitfalls helps security teams avoid expensive missteps. After observing dozens of AI-Driven Cyber Defense implementations across organizations ranging from startups to Fortune 500 enterprises, patterns emerge clearly. The teams that succeed treat AI as a capability requiring careful integration into existing operations. The teams that struggle view AI as a magic solution that works without operational changes. Let's examine the most common failures and how to avoid them.…