AI Governance and Risk Management in Cybersecurity

Online, Available in English

Topics:

• AI Threat Modeling
• LLM Exploitation & Red Teaming
• ML Model Attacks & Defense
• Security Automation via Python & AI APIs
• Use Cases: Fraud Detection, Phishing, Malware Analysis

Overview

A blended course teaching both offensive and defensive techniques for AI systems. Focuses on using AI for both attacking (LLM exploit, evasion) and defense (SOAR, automation, intelligent detection).

Who Should Take This Course:

• Security Operations Centre (SOC) Analysts
• Security Engineers
• Detection Engineers
• Threat Hunters
• AI Security Engineers
• Security Automation and SOAR Practitioners

By the end of this course, the participant will be able to:

• Use AI to enhance red team operations
• Build autonomous detection systems using ML
• Conduct adversarial ML and prompt injection
• Automate SOC triage and incident response
• Understand ethical risks and safety mechanisms