Isbn: 9798199771306 - the accountable machine: securing artificial intelligence in the age of autonomous cyber defense (6 resultados)

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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - The future of cybersecurity will not be human-driven. The question is whether it will be accountable.Artificial intelligence is rapidly transforming cyber defense. Autonomous agents now detect threats, triage incidents, isolate systems, and make security decisions at machine speed. Yet as organizations increasingly trust AI to defend critical infrastructure, financial institutions, and global enterprises, a new question emerges: Who is accountable when the machine acts In The Accountable Machine, cybersecurity strategist and governance expert Kieran Upadrasta presents a practical doctrine for securing artificial intelligence in the age of autonomous defense. Moving beyond product catalogs, vendor hype, and compliance checklists, this book introduces a comprehensive framework for governing, controlling, and defending intelligent systems before they become organizational liabilities.Readers will discover: - How AI has become both a powerful defender and a new attack surface- Why traditional cybersecurity governance breaks down in autonomous environments- Decision Rights Architecture(TM) for controlling machine authority- The AI Accountability Stack(TM) for assigning and proving responsibility- The Evidence Chain Model(TM) for reconstructing AI decisions under scrutiny- The Recoverability Mandate(TM) for surviving model failure, poisoning, and compromise- Practical approaches to securing AI supply chains, autonomous SOCs, machine identities, and AI incident response- Strategies for translating AI risk into language boards, regulators, auditors, and insurers understandWritten for CISOs, security leaders, board directors, risk professionals, auditors, regulators, architects, and engineers, this book provides the frameworks, templates, and governance models needed to build AI systems that can be trusted, defended, and explained.As regulators demand accountability, boards face increasing liability, and autonomous systems become embedded in every enterprise, organizations will discover a hard truth: owning AI is not enough. They must be able to answer for what it does.If it cannot be evidenced, it cannot be defended.The Accountable Machine is a blueprint for securing artificial intelligence-and for surviving the decade of autonomous cyber defense.…

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 41,24
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Paperback. Condición: new. Paperback. The future of cybersecurity will not be human-driven. The question is whether it will be accountable.Artificial intelligence is rapidly transforming cyber defense. Autonomous agents now detect threats, triage incidents, isolate systems, and make security decisions at machine speed. Yet as organizations increasingly trust AI to defend critical infrastructure, financial institutions, and global enterprises, a new question emerges: Who is accountable when the machine acts?In The Accountable Machine, cybersecurity strategist and governance expert Kieran Upadrasta presents a practical doctrine for securing artificial intelligence in the age of autonomous defense. Moving beyond product catalogs, vendor hype, and compliance checklists, this book introduces a comprehensive framework for governing, controlling, and defending intelligent systems before they become organizational liabilities.Readers will discover: - How AI has become both a powerful defender and a new attack surface- Why traditional cybersecurity governance breaks down in autonomous environments- Decision Rights Architecture(TM) for controlling machine authority- The AI Accountability Stack(TM) for assigning and proving responsibility- The Evidence Chain Model(TM) for reconstructing AI decisions under scrutiny- The Recoverability Mandate(TM) for surviving model failure, poisoning, and compromise- Practical approaches to securing AI supply chains, autonomous SOCs, machine identities, and AI incident response- Strategies for translating AI risk into language boards, regulators, auditors, and insurers understandWritten for CISOs, security leaders, board directors, risk professionals, auditors, regulators, architects, and engineers, this book provides the frameworks, templates, and governance models needed to build AI systems that can be trusted, defended, and explained.As regulators demand accountability, boards face increasing liability, and autonomous systems become embedded in every enterprise, organizations will discover a hard truth: owning AI is not enough. They must be able to answer for what it does.If it cannot be evidenced, it cannot be defended.The Accountable Machine is a blueprint for securing artificial intelligence-and for surviving the decade of autonomous cyber defense. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Condición: New. Print on Demand.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 42,03
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Paperback. Condición: new. Paperback. The future of cybersecurity will not be human-driven. The question is whether it will be accountable.Artificial intelligence is rapidly transforming cyber defense. Autonomous agents now detect threats, triage incidents, isolate systems, and make security decisions at machine speed. Yet as organizations increasingly trust AI to defend critical infrastructure, financial institutions, and global enterprises, a new question emerges: Who is accountable when the machine acts?In The Accountable Machine, cybersecurity strategist and governance expert Kieran Upadrasta presents a practical doctrine for securing artificial intelligence in the age of autonomous defense. Moving beyond product catalogs, vendor hype, and compliance checklists, this book introduces a comprehensive framework for governing, controlling, and defending intelligent systems before they become organizational liabilities.Readers will discover: - How AI has become both a powerful defender and a new attack surface- Why traditional cybersecurity governance breaks down in autonomous environments- Decision Rights Architecture(TM) for controlling machine authority- The AI Accountability Stack(TM) for assigning and proving responsibility- The Evidence Chain Model(TM) for reconstructing AI decisions under scrutiny- The Recoverability Mandate(TM) for surviving model failure, poisoning, and compromise- Practical approaches to securing AI supply chains, autonomous SOCs, machine identities, and AI incident response- Strategies for translating AI risk into language boards, regulators, auditors, and insurers understandWritten for CISOs, security leaders, board directors, risk professionals, auditors, regulators, architects, and engineers, this book provides the frameworks, templates, and governance models needed to build AI systems that can be trusted, defended, and explained.As regulators demand accountability, boards face increasing liability, and autonomous systems become embedded in every enterprise, organizations will discover a hard truth: owning AI is not enough. They must be able to answer for what it does.If it cannot be evidenced, it cannot be defended.The Accountable Machine is a blueprint for securing artificial intelligence-and for surviving the decade of autonomous cyber defense. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…