Effective pest control remains one of the most underestimated yet consequential components of food safety programs, with direct implications for microbial hazards (Listeria, Salmonella, E. coli), allergens, chemicals, and foreign matter. Many facilities still rely on reactive findings rather than predictive, risk-based analytics. This session presents a structured, Failure Mode & Effects Analysis (FMEA)–driven model that elevates pest-control systems from routine monitoring to a proactive hazard-prevention approach, fully aligned with FSMA, CFIA PCP, GFSI, and SQF requirements. Using real-world application in a high-volume bakery environment, the framework introduces a scientifically grounded severity rating system for pests—drawing on FDA CFR 21 Part 117.35, FAO/WHO stored-product pest classifications, NPMA categories, and AIB International IPM guidance. By scoring severity, likelihood, and detectability, pests such as rodents, cockroaches, and stored-product beetles are objectively prioritized based on their capacity to introduce pathogens, allergens, and foreign matter. Integrating FMEA with digital trend analysis strengthens environmental monitoring interpretation, enhances root-cause investigation, quantifies risk, and directs targeted preventive controls such as structural improvement, sanitation optimization, exclusion verification, and vendor oversight. The model supports early-warning indicators, reduces deviation recurrence, and improves audit readiness—making pest management a quantifiable part of the facility’s broader hazard-control strategy. This session provides a scalable, technology-enabled roadmap for designing pest-control programs that are predictive rather than reactive, operationally efficient, and directly aligned with the Conference’s hazard mitigation and data-analytics focus across human and pet food sectors.