Intelligent Continuous Security
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Intelligent Continuous Security
Author: Marc Hornbeek
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2025-06-09
With AI in the hands of cybercriminals, traditional security controls and response mechanisms are swiftly moving toward obsolescence. Intelligent Continuous Security (ICS) helps organizations stay toe-to-toe with adversaries, replacing outmoded defenses with a cohesive strategy that unifies security across the entire software lifecycle. Author Marc Hornbeek outlines the principles, strategies, and real-world implementations of ICS, including how to break down silos between DevSecOps and SecOps, how to measure and optimize security effectiveness, and how AI can transform everything from security operations to regulatory compliance. Security professionals, DevOps engineers, IT leaders, and decision-makers will learn how to move toward adaptive, self-healing defenses to keep pace with emerging risks. Align security strategies with organizational goals Implement AI-assisted Continuous Security across teams Select and integrate AI-powered tools for vulnerability detection, automated compliance checks, and real-time incident response Transition from reactive to proactive security to continuously adapt to emerging threats Apply best practices to mitigate risks and avoid breaches
Advanced Network Technologies and Intelligent Computing
This book constitutes the refereed proceedings of the 4th International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2024, held in Varanasi, India, during December 19–21, 2024. The 95 full papers and 15 short papers included in this book were carefully reviewed and selected from 507 submissions. They were organized in topical sections as follows: Advance Network Technologies; and Intelligent Computing.
Artificial Intelligence-Based Smart Healthcare Systems
Artificial Intelligence-Based Smart Healthcare Systems: New Standards, Technologies, and Communication Systems delves into the transformative role of Artificial Intelligence (AI) in modern healthcare. The book sheds light on the integration of AI technologies into healthcare systems, significantly enhancing diagnostics, patient care, treatment, research, and administrative processes. It emphasizes AI's emergence as a crucial component of healthcare, where advanced AI-powered networks improve data communication, sensing, and monitoring capabilities, setting new standards for healthcare efficiency and accuracy.In addition to discussing AI's applications in patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis, the book explores architectural frameworks like software-defined networks, cloud and edge-based architectures, and mobility-based systems. It stresses the need for scalable, flexible, energy-efficient, and interoperable designs to support AI integration. Furthermore, the importance of robust security, privacy standards, and policies in AI-based healthcare systems is highlighted, considering the unique challenges and requirements of this domain. - Covers the design of AI-powered predictive analytics which can be used to identify health issues and intervene at an early stage - Addresses the critical issues of security and privacy concerning healthcare data and AI systems - Delves into how AI technologies can be used to tailor healthcare services and treatment plans to individual patients