Cyber-crime increasingly impacts both the online and offline world, and targeted attacks play a significant role in disrupting services in both. Targeted attacks are those that are aimed at a particular individual, group, or type of site or service. Unlike worms and viruses that usually attack indiscriminately, targeted attacks involve intelligence-gathering and planning to a degree that drastically changes its profile. Individuals, corporations, and even governments are facing new threats from targeted attacks. Targeted Cyber Attacks examines real-world examples of directed attacks and provides insight into what techniques and resources are used to stage these attacks so that you can counter them more effectively. - A well-structured introduction into the world of targeted cyber-attacks - Includes analysis of real-world attacks - Written by cyber-security researchers and experts
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. FEATURES: Includes real-world case studies with detailed examples of AI-centric attacks and defense mechanisms Features hands-on security assessments with practical techniques for evaluating the security of AI systems Demonstrates advanced defense strategies with proven methods to protect LLMs, GenAI applications, and the infrastructure
The book discusses the security and privacy issues detected during penetration testing, security assessments, configuration reviews, malware analysis, and independent research of the cloud infrastructure and Software-as-a-Service (SaaS) applications. The book highlights hands-on technical approaches on how to detect the security issues based on the intelligence gathered from the real world case studies and also discusses the recommendations to fix the security issues effectively. This book is not about general theoretical discussion rather emphasis is laid on the cloud security concepts and how to assess and fix them practically.
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.
Cyber-crime increasingly impacts both the online and offline world, and targeted attacks play a significant role in disrupting services in both. Targeted attacks are those that are aimed at a particular individual, group, or type of site or service. Unlike worms and viruses that usually attack indiscriminately, targeted attacks involve intelligence-gathering and planning to a degree that drastically changes its profile. Individuals, corporations, and even governments are facing new threats from targeted attacks. Targeted Cyber Attacks examines real-world examples of directed attacks and provides insight into what techniques and resources are used to stage these attacks so that you can counter them more effectively. - A well-structured introduction into the world of targeted cyber-attacks - Includes analysis of real-world attacks - Written by cyber-security researchers and experts
The book discusses the security and privacy issues detected during penetration testing, security assessments, configuration reviews, malware analysis, and independent research of the cloud infrastructure and Software-as-a-Service (SaaS) applications. The book highlights hands-on technical approaches on how to detect the security issues based on the intelligence gathered from the real world case studies and also discusses the recommendations to fix the security issues effectively. This book is not about general theoretical discussion rather emphasis is laid on the cloud security concepts and how to assess and fix them practically.
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. FEATURES: Includes real-world case studies with detailed examples of AI-centric attacks and defense mechanisms Features hands-on security assessments with practical techniques for evaluating the security of AI systems Demonstrates advanced defense strategies with proven methods to protect LLMs, GenAI applications, and the infrastructure
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