Secure Feature Engineering

This lesson explores secure feature engineering and its role in protecting AI systems from security, privacy, and integrity risks. Learners will examine how raw data is transformed into model-ready features, identify threats that emerge during feature creation, and understand how governance controls help ensure trustworthy inputs. The lesson covers feature stores, data leakage, feature poisoning, privacy considerations, validation processes, and security controls that help organizations maintain the reliability and integrity of machine learning systems.