| Description |
1 online resource (1 volume) : illustrations |
| Bibliography |
Includes bibliographical references. |
| Summary |
Adversaries and hackers have gained significant and distinct advantages in cyber warfare today. Creative, fast, and opportunistic attackers have created an ecosystem of advanced persistent threats that is growing in scale and complexity, and evolving more rapidly than our capabilities to respond. By integrating machine intelligence (MI), you can significantly modernize your organization's security operations to better keep pace with these threats. With this ebook, Peter Guerra and Paul Tamburello--chief executives at Booz Allen Hamilton--provide examples to show you how MI can change cybersecurity operations to be more effective and efficient in threat detection, monitoring, and risk analysis. Applying MI to automate cybersecurity processes will enable swifter and more accurate identification of new and emerging threats in this continually changing landscape. Attacks are only likely to increase in size and frequency across companies, institutions, and government agencies. This ebook demonstrates a powerful tool that can help you level the playing field. You will learn: The scope of the existing threat landscape, and benefits of applying MI to cybersecurity What machine intelligence can and cannot do when applied to cybersecurity Specific security applications of machine intelligence in the real world How to address your organization's maturity and readiness for cybersecurity with MI The first steps for moving ahead with MI security in your organization How to overcome difficulties and challenges when adopting machine intelligence. |
| Subject |
Computer networks -- Security measures.
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Machine learning.
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Computer crimes -- Prevention.
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Information technology -- Management.
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Réseaux d'ordinateurs -- Sécurité -- Mesures. |
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Apprentissage automatique. |
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Technologie de l'information -- Gestion. |
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Computer crimes -- Prevention |
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Computer networks -- Security measures |
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Information technology -- Management |
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Machine learning |
| Added Author |
Tamburello, Paul, author.
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