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The Unforeseen Threat of AI on Security

2023-09-26
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Release : 2023-09-26
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Book Synopsis The Unforeseen Threat of AI on Security by : Emmanuel Joseph

Download or read book The Unforeseen Threat of AI on Security written by Emmanuel Joseph. This book was released on 2023-09-26. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly evolving digital landscape, the convergence of artificial intelligence (AI) and security presents both unprecedented opportunities and unforeseen challenges. "The Unforeseen Threat of AI on Security" delves deep into the complex and dynamic relationship between AI and cybersecurity, offering a comprehensive exploration of the critical issues that define this technological frontier. As AI continues to reshape the world, it simultaneously empowers cyber adversaries with unprecedented capabilities. This book navigates through the shadowy world of AI-driven threats, unveiling the dark side of machine learning, autonomous cyberattacks, and state-sponsored espionage. Through real-world case studies, it reveals the tangible consequences of AI infiltrating the security realm, from crippling ransomware attacks to sophisticated deepfake-driven scams. Amidst these challenges, "The Unforeseen Threat of AI on Security" also illuminates the defensive power of AI. It explores cutting-edge AI security technologies, from predictive threat intelligence to autonomous incident response, showcasing how AI is becoming a vital ally in the fight against evolving cyber threats. Furthermore, it dissects the evolving dynamics of human-machine collaboration in security, highlighting the pivotal role that humans play alongside AI in safeguarding digital ecosystems. Ethical considerations are woven throughout the narrative, as the book addresses the profound ethical dilemmas posed by AI in security, from privacy and bias to transparency and accountability. It delves into the evolving governance and policy frameworks that govern AI security practices, emphasizing the need for responsible and lawful AI deployment. Looking ahead, "The Unforeseen Threat of AI on Security" anticipates future trends in AI security, offering insights into AI-generated malware, quantum computing's impact on encryption, deepfake attacks, and the evolving role of AI in national security. This book is a must-read for cybersecurity professionals, policymakers, technologists, and anyone interested in the transformative power of AI in both shaping and safeguarding our digital future. It serves as a vital guide for navigating the intricate landscape of AI and security, where innovation and defense intersect, and where the unforeseen threats of AI are met with resilience, vigilance, and ethical responsibility.

Hands-On Artificial Intelligence for Cybersecurity

2019-08-02 Computers
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Release : 2019-08-02
Genre : Computers
Kind : eBook
Book Rating : 171/5 ( reviews)

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Book Synopsis Hands-On Artificial Intelligence for Cybersecurity by : Alessandro Parisi

Download or read book Hands-On Artificial Intelligence for Cybersecurity written by Alessandro Parisi. This book was released on 2019-08-02. Available in PDF, EPUB and Kindle. Book excerpt: Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

AI-Powered Security

2024-08-10 Computers
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Release : 2024-08-10
Genre : Computers
Kind : eBook
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Book Synopsis AI-Powered Security by : Alter Pérez

Download or read book AI-Powered Security written by Alter Pérez. This book was released on 2024-08-10. Available in PDF, EPUB and Kindle. Book excerpt: In an era where cyber threats are evolving at an unprecedented pace, "AI-Powered Security: The Future of Cyber Defense" by Alter Pérez emerges as a vital resource for cybersecurity professionals, IT managers, and tech enthusiasts alike. This comprehensive guide delves deep into the transformative power of artificial intelligence (AI) in revolutionizing the landscape of cyber defense. 1. Comprehensive Introduction to AI in Cybersecurity: The book begins with a thorough introduction to AI and its historical context, setting the stage for a detailed exploration of its application in cybersecurity. Pérez elucidates the evolution of AI, its core principles, and the significant milestones that have marked its journey into the cybersecurity domain. 2. In-Depth Analysis of the Cyber Threat Landscape: Understand the various types of cyber threats, from malware and phishing to advanced persistent threats (APTs) and ransomware. Pérez provides a detailed analysis of recent trends in cyber attacks and highlights the challenges posed by traditional cyber defense mechanisms. 3. Machine Learning Fundamentals: Dive into the basics of machine learning, including supervised, unsupervised, and reinforcement learning techniques. Learn how these AI methodologies are applied to enhance cybersecurity measures and protect against sophisticated cyber threats. 4. AI-Driven Threat Detection and Incident Response: Discover how AI-powered tools are revolutionizing threat detection systems like Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). The book also covers AI's role in incident response, forensic analysis, and reducing response times, offering real-world case studies of successful implementations. 5. Network and Endpoint Security: Explore AI applications in network security, including securing Internet of Things (IoT) devices, cloud security solutions, and software-defined networking (SDN). Pérez also delves into AI-based antivirus and anti-malware solutions, endpoint detection and response (EDR), and protecting mobile and remote devices. 6. Advanced Topics in AI for Cybersecurity: Gain insights into AI-driven threat intelligence platforms, predictive analytics, and the integration of AI with existing threat feeds. Learn about the ethical and legal considerations, including data privacy, bias, and fairness in AI models. 7. Strategic Implementation and Future Directions: Get practical advice on integrating AI into cybersecurity infrastructure, choosing the right tools, training the security team, and measuring the effectiveness of AI solutions. Pérez also discusses the future of AI in cyber defense, emerging technologies, and the potential impact of quantum computing. About the Author Alter Pérez is a renowned cybersecurity expert with years of experience in developing and implementing advanced security solutions. His deep understanding of AI and its applications in cybersecurity has made him a sought-after speaker, consultant, and thought leader in the industry. Through this book, Pérez shares his extensive knowledge and insights, helping readers stay ahead of the curve in the dynamic field of cyber defense. Prepare to embark on a journey into the future of cybersecurity with "AI-Powered Security: The Future of Cyber Defense." This book is not just a guide; it is a roadmap to navigating the complex world of cyber threats using the cutting-edge capabilities of artificial intelligence. Equip yourself with the skills and knowledge to defend against the cyber threats of today and anticipate the challenges of tomorrow with the expert guidance of Alter Pérez.

AI in Cybersecurity

2018-09-27 Technology & Engineering
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Release : 2018-09-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 412/5 ( reviews)

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Book Synopsis AI in Cybersecurity by : Leslie F. Sikos

Download or read book AI in Cybersecurity written by Leslie F. Sikos. This book was released on 2018-09-27. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.

Artificial Intelligence for Security

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Book Rating : 524/5 ( reviews)

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Book Synopsis Artificial Intelligence for Security by : Tuomo Sipola

Download or read book Artificial Intelligence for Security written by Tuomo Sipola. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

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