This session focuses on leveraging AI and ML to enhance threat intelligence operations. Students learn to build automated threat hunting systems, analyze indicators of compromise at scale, and use AI to predict emerging threat patterns before they become widespread attacks.
Build automated threat intelligence collection systems
Apply ML to identify emerging threat patterns
Develop AI-enhanced threat hunting capabilities
Integrate intelligence into security operations workflows
Predict and prepare for future attack vectors
Threat intelligence fundamentals and frameworks
Machine learning for threat pattern recognition
Automated OSINT collection and analysis
NLP for processing threat reports and advisories
Building AI-powered threat hunting playbooks
Predictive threat modeling with ML
Integration with SIEM and SOAR platforms
Dark web monitoring with AI assistance
Threat actor profiling and attribution
Join this session and advance your DevSecOps and AI security skills