Fraud detection encompasses the behavioral, technical, and analytical safeguards applied during participant recruitment and data collection to ensure that research findings reflect genuine responses from qualified individuals. In qualitative research operations, fraud takes several forms: duplicate submissions, screener gaming, inattentive participation, and identity misrepresentation. Each compromises the validity of findings and, in enterprise research, can distort decisions affecting product development, brand strategy, or market entry. Effective fraud detection operates at multiple stages, from screener design and panel vetting through to session-level behavioral signals, ensuring that every insight traces back to a real, engaged participant rather than a fraudulent or low-quality response.