Angol
As organizations accelerate digital transformation and integrate AI-driven infrastructure into their operations, they expand their exposure to complex cybersecurity risks. The adoption of cloud computing, interconnected systems, and AI models increases the attack surface, making sensitive information and critical processes more vulnerable to breaches, ransomware, and manipulation. AI systems introduce new threat vectors, including data poisoning, model theft, and algorithmic exploitation, which traditional security frameworks struggle to handle. Organizations must rethink their cybersecurity strategies to address the unique challenges posed by scalable, intelligent, and networked digital ecosystems. Cybersecurity Risks in Organizational Digital Transformation and AI Infrastructure explores how digital and intelligent technologies enhance organizational productivity and smart decision making. It examines cybersecurity risks ranging from data breaches, system vulnerabilities, model manipulations and human factors, presenting secure AI and digital infrastructure to balance innovation and cybersecurity for sustainable digital transformation efforts. This book covers topics such as image classification, organizational development, and threat modeling, and is a useful resource for security professionals, engineers, business owners, academicians, researchers, and scientists.
