Why the Next Food Safety Crisis Will Be Digital
The hidden operational risk in the modern food system


For most of modern history food safety crises began with contamination, sanitation failures, equipment breakdowns or human error on the plant floor.
Executives in food and agriculture have traditionally focused on these physical risks. When something went wrong the cause was usually traceable to a tangible event: a refrigeration failure, environmental contamination, a breakdown in operational discipline or a lapse in supply chain controls.
Food safety systems were designed accordingly. Hazard Analysis and Critical Control Points (HACCP), environmental monitoring, traceability programs and regulatory oversight all evolved to identify and control biological and chemical risks within production environments.
But the foundation of the food system has quietly changed.
Today, the systems that determine what gets produced, when it gets produced, how it is monitored and how it moves through the supply chain increasingly depend on digital infrastructure. Production scheduling platforms, refrigeration monitoring systems, traceability databases, supplier management portals and logistics coordination tools now orchestrate the flow of food from farms and fisheries to processing facilities, distribution centers and retailers.
The modern food system is no longer purely mechanical. It is cyber-physical.
That shift introduces a category of risk many executives have not yet fully recognized.
The next food safety crisis may not begin with contamination.
It may begin with the loss of digital confidence.
When Safe Food Cannot Be Proven Safe
Imagine a large processing facility operating normally. Production lines are running, sanitation protocols are intact and products are moving through the plant according to established procedures. The food itself is safe.
But suddenly the digital systems that verify safety conditions become unavailable.
Nothing on the plant floor has failed. Yet the organization can no longer confirm whether safety conditions were maintained.
In that moment, leadership faces a difficult decision: ship food without proof that safety controls were maintained or halt production until verification can be restored.
Most responsible organizations will choose to stop.
The food itself may remain safe but the system that verifies safety has failed.
Food safety has always depended not only on control but on verification. Temperature logs, test results, traceability records and quality approvals form the evidence that regulators, retailers, insurers and consumers rely on to trust the system.
When those records disappear, confidence disappears with them.
This challenge is compounded by rising consumer expectations around transparency. Today’s consumers increasingly expect visibility into where food comes from, how it was produced and whether it meets ethical and safety standards. Meeting these expectations requires digital traceability systems capable of connecting farms, processors, distributors and retailers. When those digital systems fail the ability to demonstrate food safety and provenance fails with them.
This is why digital disruption is increasingly becoming a food safety issue.
The Digital Transformation of Food Systems
Over the past three decades food production has undergone an extraordinary transformation. Advances in automation, supply chain coordination and digital management systems have dramatically increased the efficiency and scale of food production.
These systems now coordinate complex operations across global networks of suppliers, processors and distributors. They enable real-time monitoring of temperature conditions in refrigerated transport, automated production scheduling across multiple facilities and rapid traceability during product recalls.
Digital coordination has made modern food systems faster, more precise and more efficient.
But it has also created new dependencies.
Modern food supply chains now operate as tightly synchronized networks. Production decisions depend on real-time data flows. Distribution schedules rely on integrated logistics systems. Quality verification increasingly depends on digital records.
When those systems fail the consequences extend far beyond information technology. Verification fails even if the product itself remains safe.
The shift toward digital operations is also being accelerated by structural workforce pressures. Across food processing and agriculture, nearly three-quarters of companies report persistent difficulty recruiting and retaining workers. As a result automation, robotics and digitally coordinated operations are increasingly necessary simply to maintain production capacity.
Digital infrastructure is becoming essential to keeping the food system running.
Efficiency Has Reduced Tolerance for Disruption
At the same time digital systems have become more central to operations, the structure of the food system has evolved toward greater efficiency.
Processing has become increasingly centralized. Supply chains have expanded globally. Inventory buffers have been reduced. Distribution networks operate with remarkable precision often delivering products within hours of processing.
These changes have delivered enormous economic benefits. Food has become more abundant, more consistent and more affordable.
Yet efficiency has also reduced resilience.
Lean supply chains operate with minimal slack meaning even small disruptions can cascade rapidly across production networks.
Researchers studying food logistics and supply chain systems have long warned that modern food networks are optimized for efficiency rather than robustness. The more tightly synchronized these systems become the more sensitive they are to disruptions in coordination.
Digital systems now sit at the center of that coordination.
When those systems fail operational stability can quickly unravel.
The industry’s reliance on digital infrastructure is already well underway. Surveys of meat, poultry and seafood processors show that most producers now collect operational data digitally, with many facilities pushing production data to cloud platforms for monitoring and analysis. Yet much of this data is still used for retrospective reporting rather than predictive decision-making. As a result companies are becoming increasingly dependent on digital visibility without fully developing the resilience required when that visibility disappears.
Cyber Risk in Critical Infrastructure
Governments increasingly classify food and agriculture as critical infrastructure because disruptions to food production can create cascading economic and societal consequences.
The growing vulnerability of cyber-physical systems is not unique to food. Across sectors such as energy, transportation, healthcare and manufacturing, digital disruption has become an increasingly serious operational risk.
Cyber conflict has evolved from isolated criminal activity into a persistent feature of the global economic environment. Criminal groups, geopolitical actors and state-aligned organizations now routinely target industries where disruption can create economic leverage or systemic instability.
Food and agriculture is increasingly part of that landscape.
Yet historically the sector has not invested in cyber resilience at the same level as industries such as finance or defense.
That gap is becoming increasingly visible.
The risks are no longer theoretical. In 2021a ransomware attacks forced the temporary shutdown of multiple facilities operated by JBS, one of the world’s largest meat processors, disrupting production across the United States, Canada and Australia.
On February 19, 2026, a similar incident halted production at Hazeldenes Poultry.
These incident did not contaminate food products. But it demonstrated how quickly cyber disruption can halt food production by disabling the digital systems that coordinate operations.
Production lines cannot run without scheduling systems. Shipments cannot be released without traceability records. Quality approvals cannot be issued without verification systems.
Cyber incidents do not need to contaminate food to disrupt food safety.
They only need to disrupt the systems that verify it.
From Cybersecurity to Cyber Resilience
Traditional cybersecurity strategies have focused on preventing attacks. Firewalls, endpoint protection, network monitoring and identity controls are designed to keep adversaries out of systems.
But prevention alone is no longer sufficient.
Cyber-attacks have become persistent, inexpensive to launch and difficult to attribute. Organizations across industries have learned that preventing every intrusion is unrealistic.
The more relevant question is whether operations can continue when systems fail.
This is where resilience becomes critical.
Cyber resilience focuses not only on preventing attacks but on maintaining operational capability during disruption and restoring systems quickly afterward.
For food companies, resilience requires asking operational questions that extend beyond traditional IT concerns.
Can production continue safely if digital monitoring systems fail?
Can temperature compliance be verified manually if automated monitoring becomes unavailable?
Can traceability records be reconstructed quickly if digital systems are compromised?
Can facilities operate safely in degraded digital conditions?
These questions belong not only to cybersecurity discussions but in operational risk planning.
Food Safety and Cybersecurity Are Converging
Historically food safety and cybersecurity have been managed as separate disciplines. Food safety teams focused on biological hazards and regulatory compliance while cybersecurity teams focused on protecting information systems.
But the integration of operational technology and enterprise systems is collapsing that distinction.
Temperature sensors, production control systems, quality verification platforms and traceability databases now operate within interconnected digital environments.
Disruption in one domain increasingly affects the other.
Protecting food safety therefore requires protecting the digital systems that verify safety conditions.
This convergence also highlights the importance of culture. The food industry has spent decades building a culture of safety that empowers employees to identify risks, report concerns and follow disciplined procedures to protect public health.
Cyber resilience requires a similar cultural shift.
Operational teams, engineers and plant managers must recognize that digital disruptions can create operational safety risks. Cybersecurity can no longer remain isolated within IT departments.
It must become part of operational leadership.
Leadership Implications
For senior executives the implications extend beyond technology investments.
Food safety is no longer defined solely by conditions on the plant floor. It increasingly depends on the reliability of the digital systems that monitor, coordinate and verify the safety of the food supply.
That means cybersecurity must be treated as an operational and strategic issue rather than a purely technical one.
Leadership teams should consider three questions.
1. How dependent are our operations on digital systems that verify safety and quality?
2. How would our organization maintain safe operations if those systems were disrupted?
3. How quickly could we restore operational visibility after a digital failure?
These questions shift the conversation from cybersecurity to resilience.
They also reinforce a broader reality.
The next food safety crisis may not originate in contamination.
It may originate in the loss of visibility.
A moment when food remains safe, machines continue running, but the systems that confirm safety can no longer be trusted.
When that moment arrives, organizations will face a difficult decision: ship product without proof or stop the food supply.
For an industry built on trust, the answer will always be the same.
Which is why the next food safety crisis may not be biological.
It may be digital.
About the leader

Deon has over 20 years’ experience spanning industrial technology, enterprise software, Manufacturing Execution Systems, Industry 4.0 and cybersecurity, working with food, manufacturing and critical infrastructure organizations across North America, EMEA, APAC and Sub-Saharan Africa. His career bridges IT and OT, with senior leadership roles at Rockwell Automation, Schneider Electric, Invensys (now AVEVA) and Marel. He completed a Master’s-level program in Digital Transformation Leadership at Boston University’s Questrom School of Business, with executive education through MIT Sloan, Harvard Law School, the University of Michigan and The Hong Kong Polytechnic University.