AI Cybersecurity for Threat Intelligence
Dunavant, Clinton S.
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
New - Soft cover
Condition: New
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Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller Inventory # L0-9798248457458
Your SOC is drowning in alerts, threat reports, and fragmented signals while attackers move faster every day. Manual triage can’t keep up, false positives burn analyst hours, and critical indicators get buried in noise. If your team is still piecing together threats by hand, you’re already behind.
AI Cybersecurity for Threat Intelligence gives you a practical, production-focused path to modern defense. This book shows you how to build AI-assisted pipelines that collect, normalize, and enrich security data; extract high-value intelligence from unstructured reports; and drive faster, smarter detection across SIEM and SOAR workflows. You’ll learn how to apply machine learning for anomaly detection, use LLMs for IOC extraction and threat report classification, and operationalize automation with governance, metrics, and feedback loops that improve over time.
By reading this book, you’ll gain the ability to:
Automate threat hunting workflows that scale with your environment
Enrich IOCs with context that improves analyst decisions
Reduce alert fatigue and prioritize real risk faster
Deploy ML and LLM pipelines that integrate into existing security stacks
Improve MTTD and MTTR with measurable, repeatable processes
Build auditable, human-centered AI operations your team can trust
Want to stop chasing alerts and start running an intelligence-driven security program? Get your copy today and build a threat intelligence engine that helps your team detect earlier, respond faster, and defend with confidence.
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