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Secure Intelligent Machines: Protecting AI from Cyberattack

Posted By: naag
Secure Intelligent Machines: Protecting AI from Cyberattack

Secure Intelligent Machines: Protecting AI from Cyberattack
English | 2023 | ISBN: B0CDJZ352P | Pages: 489 | EPUB (True) | 4.18 MB


Secure Intelligent Machines

Protecting AI from Cyberattack

We are poised on the edge of the greatest transformation in our world since the industrial revolution. Artificial intelligence, with its long and turbulent past, is fast approaching a critical mass that will drive innovation previously only seen in the realm of science fiction into an everyday reality. Caught up in the race to an AI-enabled future, businesses, institutions, and nation-states are pressured to keep up or risk falling behind and losing competitive edge. This momentum is leading many organizations on a path where artificial intelligence adoption will outpace legal, ethical, and technological risk mitigations. A reality not lost on cyber criminals and other nefarious actors that are on a parallel track to develop tactics for compromising, subverting, and exploiting AI-enabled technologies.

This book combines years of practical cyber program development experience with innovative artificial intelligence research to forge a first-of-its-kind guide to establishing an enterprise AI cybersecurity program. Secure Intelligent Machines arms decision makers, technology leaders, and cybersecurity practitioners with the knowledge needed to solidify a path forward where an AI-Infused world is built on a foundation of trust and cyber resiliency that rise above the threats orchestrated by ill-intent threat actors.

How artificial intelligence represents a fundamental shift in technology warranting a new cybersecurity approach.
How to engage executive leaders and the broader workforce in AI cyber risk governance.
Provides a holistic, risk-based approach to establishing AI cyber protections.
Provides policy insights and workforce consideration for adapting to an AI-enabled future.
Defines current-state and anticipated future-state AI attack tactics with corresponding defensive strategies.