As AI and machine learning become foundational to modern applications, understanding their security risks is essential. This session will explore adversarial threats, model manipulation, data poisoning, and defense strategies to help you stay ahead of the curve. 🔍 What You’ll Learn: How attackers exploit AI/ML systems Real-world case studies of AI vulnerabilities Best practices for securing models and data pipelines Emerging trends in AI security