The rapid escalation of cyber threats, coupled with sprawling digital ecosystems, has rendered traditional, fragmented cybersecurity approaches obsolete. Cybersecurity platformization - the integration of disparate tools into unified, cohesive platforms - offers a transformative solution, streamlining operations, reducing costs, and enhancing resilience. This whitepaper explores platformization’s technical foundations, benefits, and challenges, emphasizing the pivotal role of artificial intelligence (AI) in amplifying its efficacy. Through detailed case studies of leading vendors (Palo Alto Networks, CrowdStrike, Microsoft, Cisco) and insights from Gartner and other analysts, this paper presents a comprehensive strategic framework for organizations to adopt platformization effectively. While promising operational efficiency and improved risk posture, platformization raises concerns about vendor lock-in and innovation stagnation. Diagrams illustrate key concepts, from platform architecture to AI workflows. As threats grow more sophisticated, a balanced approach - leveraging AI, modularity, and community collaboration - is essential to future-proof enterprise security in an increasingly perilous digital landscape.

Cybersecurity Platformization Artificial Intelligence Machine Learning Threat Detection Data Aggregation Interoperability Cloud Security Operational Efficiency Vendor Consolidation Risk Posture