When a potential recall emerges, strategic communications can help organizations create clarity amid rapidly evolving information. Five key questions can help guide decision-making during the critical first 24 hours.
Food industry leaders shared that they recognize the potential benefits of pooling confidential food safety data, such as strengthening predictive modeling and enabling earlier identification of emerging risks, but concerns about trust, liability, confidentiality, and competitive disadvantage continue to hinder data-sharing.
Moving from compliance to capability requires more than training; it requires leadership buy-in that enables better food safety decisions under pressure.
Adopted by the Pan American Health Organization (PAHO), the strategy sets goals to increase the number of countries in the region conducting foodborne illness surveillance, making food safety decisions informed by risk assessments, and participating in regional cooperation and coordination.
A new paper outlines the scientific capabilities and investments that will be necessary to keep pace with food system innovation, emerging risks, and changing EU policy while supporting risk assessment. The paper will inform EFSA's forthcoming Strategy 2034.
This article introduces Auburn University’s AU-BISR System, which is governed by a unifying Biosurveillance, Biointelligence, and Biosecurity (B3) operational architecture. AU-BISR is a directly applicable early-warning architecture for the food system to prevent foodborne illnesses and recalls before they occur.
Foodborne illness prevention does not happen by chance. It depends on a workforce that is trained, credentialed, data-enabled, and supported by coordinated federal investment. These are the conditions that allow prevention to occur consistently across jurisdictions and over time—and current workforce research suggests each is under pressure.
A new FAO technical brief explains how plastic pollution moves through agrifood systems and creates interconnected risks to food safety and human, animal, plant, and environmental health.
The question is no longer whether AI will enter food safety and GMP environments; it already has. The more important question is how it can be used without weakening the controls on which these systems depend.