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Artificial intelligence is redefining how organizations defend critical infrastructure. In this presentation, I explore how AI transforms cybersecurity from reactive detection to predictive, adaptive defense. We examine real-world architectures, threat detection pipelines, measurable impact metrics, and the emerging AI-versus-AI security landscape. Key topics covered: • Machine learning for vulnerability detection • Behavioral anomaly detection pipelines • Autonomous threat containment • Measuring MTTD and MTTR reduction • AI-driven red teaming and self-healing systems • AI security as infrastructure, not just software As a Principal Enterprise Strategist for the AI Factory at CDW and a student of Artificial Intelligence at the University of Maryland Global Campus, I approach this topic from both enterprise architecture and academic research perspectives. Cybersecurity is no longer about static rules. It is about systems that learn faster than their adversaries. The question becomes: How fast can your digital bodyguard react?