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Paperback. Condición: new. Paperback. AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode.This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership.Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization.Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle.Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.What You Will Learn:Develop an AI integration strategy aligned with the organization's strategic goals and objectives.Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering.Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles.Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement.Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.Who This Book is for:The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations. Higher education would be a secondary audience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Paperback. Condición: New. This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. Who.…

Condición: New.

paperback. Condición: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.

Paperback. Condición: New. This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. Who.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Paperback. Condición: New. This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. Who.…

Taschenbuch. Condición: Neu. AI Strategy and Security | A Roadmap for Secure, Responsible, and Resilient AI Adoption | Donnie W. Wendt | Taschenbuch | xiii | Englisch | 2025 | Apress | EAN 9798868817328 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Paperback. Condición: New. This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. Who.…

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode.This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership.Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization.Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle.Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.What You Will Learn:Develop an AI integration strategy aligned with the organization's strategic goals and objectives.Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering.Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles.Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement.Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.Who This Book is for:The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations.Higher education would be a secondary audience. 224 pp. Englisch.…

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode.This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership.Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization.Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle.Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.What You Will Learn:Develop an AI integration strategy aligned with the organization's strategic goals and objectives.Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering.Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles.Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement.Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.Who This Book is for:The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations.Higher education would be a secondary audience.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.Who This Book is for:The primary audience is cybersecurity professionals looking to improve their organization's security posture by leveraging AI and ML-based security tools and combining them into a comprehensive strategy incorporating automation and ACD. This target audience will have a cybersecurity background and an interest in AI and ML.Higher education would be a secondary audience. 396 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode.This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership.Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization.Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle.Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.What You Will Learn:Develop an AI integration strategy aligned with the organization's strategic goals and objectives.Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering.Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles.Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement.Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.Who This Book is for:The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations. Higher education would be a secondary audience.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch.…

Kartoniert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.Who This Book is for:The primary audience is cybersecurity professionals looking to improve their organization's security posture by leveraging AI and ML-based security tools and combining them into a comprehensive strategy incorporating automation and ACD. This target audience will have a cybersecurity background and an interest in AI and ML.Higher education would be a secondary audience.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.What You Will Learn:Understand the many uses of AI and ML and the concepts underpinning these technologies.Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.Integrate AI and ML-based systems to enhance cybersecurity.Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.Who This Book is for:The primary audience is cybersecurity professionals looking to improve their organization's security posture by leveraging AI and ML-based security tools and combining them into a comprehensive strategy incorporating automation and ACD. This target audience will have a cybersecurity background and an interest in AI and ML.Higher education would be a secondary audience.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 424 pp. Englisch.…