As adversarial AI threats, like deepfakes and model poisoning, target enterprise cloud systems, proactive forensics and workforce training are critical to mitigate risks. As a CISSP-certified Cybersecurity Architect at La Vie en Rose and former IT Manager, I’ll share practical strategies for securing Azure-based environments against AI-driven attacks. Through real-world case studies—including a deepfake-driven phishing attempt detected with Microsoft Sentinel — I’ll demonstrate how forensic techniques (e.g., log analysis, anomaly detection) uncover adversarial tactics. Attendees will learn to integrate AI-specific threat intelligence into response workflows, align with emerging compliance standards (e.g., NIST AI RMF), and train teams to recognize AI threats. This session offers actionable insights to balance AI adoption with security, ensuring organizations stay ahead of adversarial risks in the generative AI era.