Traditional managed detection and response (MDR) models are straining to keep pace with decentralized IT, faster adversaries and analyst fatigue. The next generation will be adaptive: combining distributed detection, contextual enrichment and AI-driven decisioning with human oversight for precision and accountability. In our new blog post, Marcos Ariño explores how organizations can build an MDR model that learns, adapts and responds at business speed.
