AI-Driven Threat Intelligence
- Chapter Objectives
- Technical Aspects of AI in Threat Intelligence
- Case Study: Using CNNs for Malware Classification
- Case Study: Detecting and Analyzing Phishing Campaigns
- Leveraging AI to Automate STIX Document Creation for Threat Intelligence
- Case Study: Automating Threat Intelligence for a Financial Institution
- Autonomous AI Agents for Cyber Defense
- Case Study: Using MegaVul to Build an AI-Powered Vulnerability Detector
- AI Coding Agents
- Summary
- Multiple-Choice Questions
- Answers to Multiple-Choice Questions
- Exercises
This chapter is from the book
This chapter is from the book
This chapter is from the book
Chapter Objectives
Artificial intelligence (AI) is being used in modern threat intelligence, enabling cybersecurity systems and organizations to keep pace with sophisticated and evolving threats. Threat intelligence that leverages machine learning (ML) and big data analysis has been used for many years. However, the advent of generative AI and its ability to process natural language have taken it to the next level. The result is faster, more accurate, and often automated threat intelligence exchange, digestion, detection, and response. Thus, AI is indispensable in cybersecurity operations. This chapter provides an in-depth analysis of AI-driven threat intelligence, covering key technical aspects, its application against a broad spectrum of threats, real-world implementations, the role of generative AI, autonomous security agents, and future trends shaping this field.
