9798868821769 - deceptive intelligence: ai, social engineering, and securing the human element di oriyano, sean (18 risultati)

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  • Lingua: Inglese

    Editore: APress, Berkley, 2026

    9798868821769

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Paperback. Condizione: new. Paperback. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The books core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threatsits a call to action for organizations to evolve their approach to security and embrace AIs potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 310 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical professionals Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868821769

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: APress, US, 2026

    9798868821769

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    Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA

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    Paperback. Condizione: New. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing h.

  • Lingua: Inglese

    Editore: APress, US, 2026

    9798868821769

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Paperback. Condizione: New. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing h.

  • Lingua: Inglese

    Editore: APRESS L.P. Jul 2026, 2026

    9798868821769

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    Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK

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    Taschenbuch. Condizione: Neu. Neuware -This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 3-10 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical professionals exploring advanced cybersecurity techniques or AI applications). 763 pp. Englisch.

  • Lingua: Inglese

    Editore: APRESS L.P. Jul 2026, 2026

    9798868821769

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    Da: Wegmann1855, Zwiesel, GermaniaWegmann1855

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    Taschenbuch. Condizione: Neu. Neuware -This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868821769

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    Da: Speedyhen, Hertfordshire, Regno UnitoSpeedyhen

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    Condizione: NEW.

  • Lingua: Inglese

    Editore: Apress Jul 2026, 2026

    9798868821769

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Neuware - This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 3-10 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical professionals exploring advanced cybersecurity techniques or AI applications).

  • Lingua: Inglese

    Editore: APress, Berkley, 2026

    9798868821769

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    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Paperback. Condizione: new. Paperback. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The books core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threatsits a call to action for organizations to evolve their approach to security and embrace AIs potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 310 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: APress, 2026

    9798868821769

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    Da: moluna, Greven, Germaniamoluna

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  • Lingua: Inglese

    Editore: APress, US, 2026

    9798868821769

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    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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    Paperback. Condizione: New. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing h.

  • Lingua: Inglese

    Editore: APRESS L.P. Jul 2026, 2026

    9798868821769

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. Neuware -This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 763 pp. Englisch.

  • Lingua: Inglese

    Editore: APress, Berkley, 2026

    9798868821769

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Paperback. Condizione: new. Paperback. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The books core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threatsits a call to action for organizations to evolve their approach to security and embrace AIs potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 310 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868821769

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    Taschenbuch. Condizione: Neu. Deceptive Intelligence | AI, Social Engineering, and Securing the Human Element | Sean Oriyano | Taschenbuch | xvii | Englisch | 2026 | Apress | EAN 9798868821769 | 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.

  • Lingua: Inglese

    Editore: APress, US, 2026

    9798868821769

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    Paperback. Condizione: New. This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing h.

  • Lingua: Inglese

    Editore: Apress Jul 2026, 2026

    9798868821769

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    Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh

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    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Neuware -This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience. 784 pp. Englisch.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868821769

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    • Print on Demand

    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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

  • Lingua: Inglese

    Editore: APRESS L.P. Jul 2026, 2026

    9798868821769

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 40,65

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    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn:How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance.How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses.How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve.Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 3-10 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical professionals exploring advanced cybersecurity techniques or AI applications). 763 pp. Englisch.