Automating Cyber Threat Intelligence by Adele Kuzmiakova (.PDF)

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File Size: 10 MB

Automating Cyber Threat Intelligence: Tools and Techniques for Enhanced Security Posture by Adele Kuzmiakova
Requirements: .PDF reader, 10 MB
Overview: Cyber threats are increasingly sophisticated, requiring proactive and automated solutions for effective defense. This book explores tools and techniques for automating threat intelligence, from AI-driven analytics to automated incident response systems. Covering topics like vulnerability assessments and predictive threat modeling, it equips readers with strategies to enhance their organization’s security posture. With actionable insights, this book is essential for cybersecurity professionals and IT managers seeking to stay ahead in the evolving cyber landscape. The sheer volume of cyber threat information can be overwhelming for threat intelligence analysts, making it difficult to distinguish between genuine threats and false positives. This is where Artificial Intelligence (AI) becomes a crucial asset. AI technologies, particularly Machine Learning (ML) and Deep Learning (DL), offer transformative solutions for automating and refining various aspects of threat intelligence, including data collection, in-depth analysis, intelligent sharing, and advanced technological integration.
Genre: Non-Fiction > Tech & Devices

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