Applied AI in Cyber Threat Intelligence
Build agentic workflows to scale the intelligence lifecycle
JFANCreated by Dennis Chow, Joe Fleurat, Austin Nowak
Explore how to automate and scale cyber threat intelligence workflows using agentic AI and Python. Learn to build AI-driven pipelines that collect, analyze, and validate threat data, making your intelligence operations more efficient and reliable.
Packt | Jul 2026 | 628 min
What You Will Learn
You will work through practical, scenario-based Python projects that guide you in building and connecting AI agents for each stage of the intelligence lifecycle. By applying structured analytic techniques and leveraging real-world data, you will create scalable systems that support timely and accurate threat analysis.
Key Features
- Design multi-agent AI workflows to automate threat intelligence processes
- Apply structured analytic techniques to reduce bias in intelligence analysis
- Corroborate and validate threat signals from multiple sources using Python
Target Audience
Ideal for cyber threat intelligence analysts, security engineers, and SOC practitioners with intermediate cybersecurity knowledge and basic Python skills. If you want to automate and scale your intelligence operations using AI, and are comfortable with core threat intelligence concepts, this course is designed for you.
