AI In Cybersecurity: Simplifying Cyber Risk with Smart, Affordable Tools for Small Business Defense
Language: English
Published by Acrasolution, 2025
- Softcover
- Used
Condition: Used
£ 11.12
Quantity: 1 available
Add to basketItem description from seller
Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | AI in Cybersecurity: The Ultimate Guide for Modern Threat Defense in the Digital Age In an era where data is currency and cyberattacks are more sophisticated than ever, businesses and individuals alike must rethink their approach to digital security. AI in Cybersecurity is the definitive resource that explores how artificial intelligence is transforming cyber defense systems, offering proactive, intelligent, and scalable protection in an evolving threat landscape.This comprehensive guide dives deep into the intersection of artificial intelligence and cybersecurity. Whether you're a small business owner, IT professional, executive, or tech enthusiast, this book delivers actionable insights, up-to-date frameworks, and practical use cases that show how AI is being deployed to detect threats, prevent breaches, and predict vulnerabilities before they become catastrophic.¿¿¿¿ What You'll Learn Inside This Book:How machine learning and deep learning algorithms are used for real-time threat detection.The role of AI in identifying phishing attacks, malware, ransomware, and insider threats.Case studies from organizations using AI to secure data, networks, and cloud infrastructure.Key differences between rule-based systems and AI-driven defense.The impact of natural language processing (NLP) on analyzing threat intelligence and dark web chatter.Practical tools and platforms that leverage AI for cybersecurity automation and risk scoring.Ethical implications of AI-powered surveillance and privacy enforcement.How AI can help SMBs, enterprises, and government agencies scale their cybersecurity efforts.Unlike traditional cybersecurity books that focus only on manual defenses or complex technical concepts, AI in Cybersecurity is crafted to be accessible, insightful, and practical. Readers gain a strategic overview of how AI is enhancing digital resilience while also receiving real-world tactics that can be implemented immediately.¿¿¿¿ Who This Book Is For:Small and Medium Businesses (SMBs) looking to protect their digital assets without large IT budgets.Cybersecurity professionals who want to upskill and stay ahead of AI-driven threat vectors.CISOs, CTOs, and IT managers responsible for digital risk management and compliance.Tech students and educators exploring the future of secure AI-driven infrastructure.Entrepreneurs and startups aiming to embed cybersecurity into their AI products from day one.¿¿¿¿ Why It Matters Now More Than Ever: Cybercrime is projected to cost the global economy over $10 trillion annually by 2025. As threats evolve faster than human teams can respond, AI offers a revolutionary leap forward-delivering speed.…
Seller Inventory # 43114045/1
- Title
- AI In Cybersecurity: Simplifying Cyber Risk with Smart, Affordable Tools for Small Business Defense
- Author
- Lebouthillier
- Publisher
- Acrasolution
- Publication year
- 2025
- Condition
- Hervorragend
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1069643785
- ISBN 13
- 9781069643780
- Series
- Book 2 of 3: AI Cybersecurity for SMBs
- Seller catalogs
- Bücher
AI in Cybersecurity: The Ultimate Guide for Modern Threat Defense in the Digital Age
In an era where data is currency and cyberattacks are more sophisticated than ever, businesses and individuals alike must rethink their approach to digital security. AI in Cybersecurity is the definitive resource that explores how artificial intelligence is transforming cyber defense systems, offering proactive, intelligent, and scalable protection in an evolving threat landscape.
This comprehensive guide dives deep into the intersection of artificial intelligence and cybersecurity. Whether you're a small business owner, IT professional, executive, or tech enthusiast, this book delivers actionable insights, up-to-date frameworks, and practical use cases that show how AI is being deployed to detect threats, prevent breaches, and predict vulnerabilities before they become catastrophic.
���� What You'll Learn Inside This Book:
- How machine learning and deep learning algorithms are used for real-time threat detection.
- The role of AI in identifying phishing attacks, malware, ransomware, and insider threats.
- Case studies from organizations using AI to secure data, networks, and cloud infrastructure.
- Key differences between rule-based systems and AI-driven defense.
- The impact of natural language processing (NLP) on analyzing threat intelligence and dark web chatter.
- Practical tools and platforms that leverage AI for cybersecurity automation and risk scoring.
- Ethical implications of AI-powered surveillance and privacy enforcement.
- How AI can help SMBs, enterprises, and government agencies scale their cybersecurity efforts.
Unlike traditional cybersecurity books that focus only on manual defenses or complex technical concepts, AI in Cybersecurity is crafted to be accessible, insightful, and practical. Readers gain a strategic overview of how AI is enhancing digital resilience while also receiving real-world tactics that can be implemented immediately.
���� Who This Book Is For:
- Small and Medium Businesses (SMBs) looking to protect their digital assets without large IT budgets.
- Cybersecurity professionals who want to upskill and stay ahead of AI-driven threat vectors.
- CISOs, CTOs, and IT managers responsible for digital risk management and compliance.
- Tech students and educators exploring the future of secure AI-driven infrastructure.
- Entrepreneurs and startups aiming to embed cybersecurity into their AI products from day one.
���� Why It Matters Now More Than Ever:
Cybercrime is projected to cost the global economy over $10 trillion annually by 2025. As threats evolve faster than human teams can respond, AI offers a revolutionary leap forward-delivering speed.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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