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™ for controlling machine authority
• The AI Accountability Stack™ for assigning and proving responsibility
• The Evidence Chain Model™ for reconstructing AI decisions under scrutiny
• The Recoverability Mandate™ 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 understand
Written 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798199771306
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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. N° de réf. du vendeur 9798199771306
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9798199771306
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798199771306
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798199771306
Quantité disponible : Plus de 20 disponibles