Marking the intersection between human decision-making and biosecurity, deliberate attacks present risks like the poisoning or adulteration of food products, or cyberattacks targeting control or process systems. Collectively, "cognitive security"—or protecting the human decision-making process—needs to be a consideration for industry, government, and academia as an element of food security. 

U.S. federal, state, and local public health agencies authorities are currently investigating an ongoing outbreak of Highly Pathogenic Avian Influenza (HPAI), or "avian flu," among dairy herds nationwide. This article advocates the need for new technologies to address current and future food safety needs.

Whole genome sequencing (WGS) and hyperspectral imaging are proposed in a One Health context to be applied to biosurveillance.

A Biosurveillance Intelligence, Surveillance, and Reconnaissance (BISR) system would address two mission-critical requirements for biosurveillance to detect and prevent outbreaks: rapid detection and predictive analysis.

Artificial Intelligence (AI), while offering remarkable advancements in various fields, also presents a paradoxical threat, especially when misused. 

This article explores the benefits offered by "beneficial" artificial intelligence (AI) as applied to the food and beverage industry and specifically to food safety practices. It discusses relevant elements of President Biden's October 2023 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, as well as the Department of Defense's June 2023 Data, Analytics, and Artificial Intelligence Adoption Strategy, and what these documents mean to AI applications in food safety.

This article provides a future-oriented perspective on comprehensive food safety programs that harness multi-layered sensor technology and artificial intelligence (AI). The program described begins with biosurveillance at the producer level and seamlessly extends to the retail food sector.