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Artículo: AMZ-8199000155

Explainable AI for Cloud Security Automation - Building Trustworthy Defenses

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En stock

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0.92 kg

Devolución
Sí

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Nuevo

Producto de
Amazon

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USA

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Cloud computing has rapidly become the backbone of modern digital infrastructure, powering everything from healthcare systems and financial services to e-commerce and government operations. With this growth, however, comes an increasing wave of cyber threats targeting cloud environments, ranging from insider risks to sophisticated adversarial attacks. While Artificial Intelligence (AI) and Machine Learning (ML) have shown significant promise in automating cloud security—through intrusion detection, anomaly monitoring, and adaptive threat response—these systems often operate as “black boxes,” leaving stakeholders uncertain about the reasoning behind their decisions. This lack of transparency creates challenges in trust, accountability, and compliance, particularly in industries where data privacy and regulatory standards are paramount.Explainable AI (XAI) addresses this critical gap by making AI-driven decisions in cloud security more transparent, interpretable, and trustworthy. Instead of merely flagging anomalies or generating automated responses, XAI provides insights into why a decision was made, which features influenced the outcome, and how risks are prioritized. This interpretability is not only crucial for compliance with regulations such as GDPR and HIPAA but also for empowering security professionals to make informed judgments, reduce false positives, and strengthen human-AI collaboration in defending cloud ecosystems.This book, Explainable AI for Cloud Security Automation, aims to bridge the domains of cloud computing, cybersecurity, and explainable machine learning. It explores how XAI can enhance the automation of cloud security, mitigate risks, and ensure compliance, while maintaining trust in AI systems. Topics covered range from adversarial resilience and anomaly detection to fairness in automated decision-making and real-world use cases across sectors like healthcare, banking, and critical infrastructure. By combining theory, practice, and emerging research, this book serves as a comprehensive guide for researchers, practitioners, cloud architects, and policymakers who seek to harness the power of explainable AI for secure and accountable cloud-based systems.

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$32,09

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