Key ML concepts are essential for security engineers to understand how to leverage machine learning in cybersecurity. This lesson covers foundational topics such as supervised and unsupervised learning, reinforcement learning, and their applications in threat detection and vulnerability scoring. Participants will benefit from insights into metrics like precision, recall, and F1 score, which are critical for evaluating model performance in real-world scenarios. This knowledge is vital for professionals looking to enhance their skills in AI-driven security solutions.