Security Analysis with AI

Learning Objective - Gain comprehensive proficiency in various aspects of cybersecurity, including cybersecurity data analysis, anomaly detection, and malware analysis. Explore advanced techniques such as threat hunting with AI and integration of AI technologies with Security Information and Event Management (SIEM) systems for enhanced threat detection and response. Additionally, delve into endpoint security with AI-driven solutions for effective threat monitoring, detection, and prevention. Finally, acquire skills in cyber forensics leveraging AI tools for evidence correlation, incident reconstruction, and comprehensive investigations.

Audience – Any intermediate-senior level professional in cybersecurity

Pre-Requisite: Understanding AI for building secure designs involves gathering security requirements, determining organization assets, and constructing secure designs with AI's assistance. Utilizing AI for secure implementation entails learning about common insecure code practices, employing AI to secure written code, and adopting secure technologies. User authentication and authorization involve implementing robust mechanisms like multi-factor authentication, role-based access control, and the least privilege principle.…