AI-Driven Autonomous and Resilient Architectures for Mission-Critical Healthcare Cloud Cyber Defense with SAP Integration
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Abstract
Mission-critical healthcare cloud systems demand continuous availability, uncompromised data integrity, and strict compliance with regulatory standards while facing increasingly sophisticated cyber threats. Traditional security approaches struggle to protect complex, distributed, and SAP-centric healthcare environments against adaptive attacks and operational disruptions. This paper presents an AI-driven autonomous and resilient cyber defense architecture with SAP integration tailored for mission-critical healthcare cloud deployments. The proposed architecture leverages machine learning, advanced analytics, and automation to deliver real-time threat detection, predictive risk assessment, and self-healing response capabilities across SAP-based platforms, including SAP S/4HANA and SAP Business Technology Platform (BTP). By embedding zero-trust principles, continuous monitoring, and AI-enabled orchestration into the SAP ecosystem, the architecture enhances cyber resilience while preserving system performance and compliance. The approach supports proactive defense, graceful degradation, and rapid recovery, ensuring uninterrupted clinical and operational workflows. Key challenges such as model explainability, data privacy, regulatory alignment, and enterprise integration are discussed, along with metrics for evaluating resilience and mission assurance. The study demonstrates that AI-driven autonomous cyber defense, when tightly integrated with SAP cloud technologies, significantly improves security posture, operational continuity, and trust in healthcare cloud ecosystems.
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