Harnessing technology and innovation is a vital way to ensure safe food for people everywhere

 When it comes to food safety, consumer expectations and regulatory demands have never been greater. Yet at the same time, many systems designed to protect the food supply chain remain weighed down by repetition and manual processes that can easily be automated. The modernisation of food safety is no longer a distant ambition – it is an urgent operational imperative.

The shift to real-time data integrity

For decades, hazard analysis and critical control point (HACCP) management has been the foundation of food safety supervision, yet many companies still rely on outdated, paper-based processes when smart digital alternatives exist.

The next leap in food safety performance will be driven by digital technology that shifts the data model from ‘snapshots in time’ to a continuous stream of truth. Digital HACCP is an imperative. By harnessing real-time data and AI-driven insights, companies can anticipate risks before they escalate, ensuring proactive hazard management and faster decision making.

Increasing regulatory pressures highlight the shifts that food companies must respond to. Since January, food companies in the US have been mandated by the federal Food Safety Modernization Act Section 204, which requires enhanced, end-to-end traceability and record keeping for high-risk foods. In Europe, regulation mandates digital labelling and Digital Product Passports for the food and beverage industry to enhance traceability, transparency and consumer information. As supply chains become increasingly complex, technology and innovation will be central to strengthening food safety.

Biological precision and the science of food safety

Food safety can no longer be a reactive endeavour – it must be proactive, rapid and precise. At the Global Food Safety Initiative (GFSI), we believe that everyone has the right to access safe food – and we recognise the crucial part that innovation has to play in this.

At the upcoming GFSI Conference in Vancouver, we will explore how AI-powered food safety can support the industry, from detection to prevention, as we recognise the technological advancements within food safety.

Artificial intelligence (AI) is changing the focus from responding to foodborne illness outbreaks to actively predicting them. Machine learning models can analyse data along production streams to anticipate risks such as contamination or equipment failure before they occur.

Meanwhile, real-time monitoring and Internet of Things (IoT) sensors are replacing manual checks, providing continuous, real-time data on critical parameters such as temperature and humidity in cold chain logistics – a critical component of food safety.

Elsewhere, in seconds rather than days, whole genome sequencing is becoming a non-negotiable tool for supply chain transparency, enabling companies to trace the DNA of a bacteria to find the exact farm or factory it came from, while blockchain can trace the digital path of a product through the supply chain, thereby reducing the scope and cost of recalls.

Protecting public health and the planet

One case study of a collaboration between Walmart and IBM Food Trust shows how blockchain reduced the time required to trace the origin of contaminated lettuce from seven days to just 2.2 seconds. Moving beyond ‘one step up, one step down’ visibility in this way can potentially save lives and livelihoods, as well as millions in recall costs, fines and wasted produce.

This level of precision doesn’t just protect public health; it protects the planet by narrowing recalls to the exact affected units, avoiding the massive food waste associated with blanket ‘do not consume’ warnings.

These technologies are not a ‘nice to have’ option – they are central to the future of the food and beverage industry. The Food Standards Agency (FSA) itself has introduced a range of AI tools and tests, from predictive modelling that anticipates hygiene violations, to pattern detection that identifies safety risks before products even enter the country. These initiatives clearly point to a broader trend of using AI to support regulatory compliance and proactive risk management.

Digital trust: a foundation for the future

Done right, these tools won’t replace people or standards. Instead, they will free up expertise and improve consistency. When the same rules are applied the same way, every time, food safety becomes less dependent on manual interpretation and more resilient to scale.

And this helps to create something the food system increasingly depends on – digital trust. The value of this cannot be underestimated, especially as signs continue to point to dwindling consumer trust and confidence in the food industry.

Digital food safety systems create the foundation for this trust. When monitoring, traceability and compliance data are captured automatically and securely, organisations can demonstrate not just that standards were met, but how and when they were met.

Because trust doesn’t come from data alone, it comes from confidence that the data is accurate, complete, timely and verifiable.

This is what digital trust looks like in practice: fewer assumptions, fewer gaps and fewer surprises. For businesses, it means stronger relationships with customers and partners. For consumers, it means confidence that safety claims are backed by evidence, not paperwork.

Bridging the gap: accessibility, standards and interoperability

A critical consideration that the industry must address with honesty is which companies can actually access these technologies. The examples above represent the global tier of multinational food businesses, yet small and medium-sized enterprises (SMEs) constitute the vast majority of the global food supply chain.

The promise of universal rather than exclusive digital food safety requires three things:

• Affordable, scalable tools – cloud-based digital HACCP platforms and low-cost IoT sensors are making entry-level adoption increasingly viable
• Data standards and interoperability – frameworks such as GS1 standards enable data generated on a smallholder farm to be read by a retailer’s compliance system anywhere in the world
• Honest AI – in markets where historical contamination data is sparse, predictive models carry blind spots that must be acknowledged before deployment

Facing up to cybersecurity and the path forwards

The modernisation of food safety comes with new threats, such as hacking and cybercrime. Bad actors could hold data for ransom or hack temperature controls – and a hacked cooling system is just as dangerous as a broken one.

Unlike a mechanical failure, a cyber attack may be silent and difficult to detect, making it potentially more dangerous. Food safety modernisation must therefore go hand-in-hand with robust cybersecurity.

Cybersecurity cannot be retrofitted – it must be embedded from the outset into every digital HACCP system, IoT network and traceability platform. Food safety leaders and IT security teams must now work in genuine partnership, with regulators also playing a role in establishing minimum cybersecurity standards.

Like all innovation, technological impact depends on leadership, culture and the willingness to rethink how food safety systems are designed and operated.

However, the direction of travel is clear. By reducing repetition, removing mundane tasks and building digital trust, technology enables food safety to evolve from a compliance obligation into a strategic, intelligence-driven capability.

In a world where trust, speed and transparency define success, that evolution is essential. The future of food safety belongs to organisations that use technology not to do more of the same, but to do what matters better.