Requirements: .ePUB reader, 12.7 MB
Overview: This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure. The book highlights hands-on technical approaches to detect security flaws in AI systems and applications utilizing the intelligence gathered from real-world case studies. Lastly, the book presents a very detailed discussion of the defense mechanisms and practical solutions to secure LLMs, GenAI applications, and the AI infrastructure. The chapters are structured with a granular framework, starting with AI concepts, followed by practical assessment techniques based on real-world intelligence, and concluding with required security defenses. Artificial Intelligence (AI) and cybersecurity are deeply intertwined and increasingly essential to modern digital defense strategies. The book is a comprehensive resource for IT professionals, business leaders, and cybersecurity experts for understanding and defending against AI-driven cyberattacks. Artificial Intelligence (AI) and cybersecurity are deeply intertwined and increasingly essential to modern digital defense strategies. Organizations are adopting AI technology exponentially, resulting in a significant evolution of the cyber threat landscape. Adversaries are leveraging AI capabilities to enhance their tactics and techniques to launch scalable cyberattacks in an automated manner. Prerequisites: Basic knowledge of programming languages commonly used in AI and cybersecurity, such as Python, Java, and C++. Experience with scripting languages like Bash or PowerShell for automating tasks. Familiarity with AI development tools such as TensorFlow, PyTorch, Keras, and Scikit-learn.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/GHAO66
https://katfile.com/o0rjdx2b9d27/Combat … .epub.html.
