Blood Plasma Saved by Alarms: What the EFS Cyberattack Teaches Every Cold Chain

On 2 November 2026, a cyberattack reached refrigeration systems serving three sites of the Établissement français du sang (EFS), France’s national blood service. Attackers altered temperature and defrosting thresholds in cold rooms holding plasma and blood samples. The incident did not result in lost blood products or an interruption to collection and distribution — because monitoring alarms exposed the physical anomaly early enough for people to act.[1][2]

That outcome deserves attention far beyond healthcare. It demonstrates a critical principle for every temperature-controlled supply chain: when a connected controller can no longer be trusted, an independently observed physical condition may become the fastest reliable signal that something is wrong.

What happened at the French blood service

The EFS said it was not attacked directly. The incident affected refrigeration equipment managed through a supplier and reached monitoring and control systems at three EFS locations. Temperature and defrosting thresholds were raised to extremely high levels.[1][3]

The affected rooms contained plasma intended for transfusions, plasma used to manufacture medicines and samples maintained for biobanks. EFS monitoring and alarm systems identified the anomalies. Depending on the site, personnel brought the equipment under control or neutralised it, while stored products were secured or transferred preventively to other facilities.[2][3]

EFS reported no health impact and no loss of blood products. Blood collection and distribution continued, while France’s national cybersecurity agency, ANSSI, and the Ministry of Health investigated the event.[2][3]

The exact intrusion path, responsible actor and relationship to the wider European refrigeration attacks had not been publicly established when the incident was reported. Similarity is not attribution: common operational effects do not prove a common attacker.

The alarm was not a secondary feature

The most important fact is not the extreme value entered into a controller. A configured threshold is not the same as an actual product temperature. The important fact is that the organisation detected an abnormal physical condition early and had a response process capable of protecting the inventory.

This changes how cold-chain resilience should be designed. A refrigeration control system performs an essential function, but it should not be the only source used to prove that the environment is safe. If the controller, its credentials or its remote-management path is compromised, its readings and settings may also be untrustworthy.

A separate monitoring layer can provide an independent view of the actual storage environment. This is a form of cyber-physical resilience: cybersecurity controls work to prevent and contain the intrusion, while independent sensors reveal whether the physical process is moving outside safe limits.

Where Sensorice fits

Sensefinity’s Sensorice can monitor conditions such as temperature and humidity independently from the refrigeration controller and generate real-time alerts when configured limits or abnormal trends are detected.

In an incident like the one affecting EFS, that independent observation can help an operator:

• detect a temperature excursion before the stored product is compromised;

• compare the physical measurement with the controller’s reported state;

• alert personnel even when the primary control interface is unreliable;

• document when the excursion began, how far it progressed and when conditions recovered;

• support decisions to transfer, quarantine or release inventory;

• preserve a time-stamped evidence trail for quality, insurance and incident review.

Sensorice does not identify malware, determine the attacker or prove that an anomaly was caused by a cyberattack. It is not a replacement for network segmentation, multi-factor authentication, supported firmware, protected remote access, endpoint detection, backups or an OT incident-response plan. Its role is narrower and operationally important: measure the physical consequence independently and reduce the time between deviation and action.

A practical resilience model for critical cold storage

Organisations responsible for blood products, pharmaceuticals, food or other sensitive inventory should treat remote refrigeration access as part of their cyber-risk perimeter.

A defensible architecture combines four layers:

1. Prevent: remove direct internet exposure, replace default credentials, require protected remote access, patch supported controllers and segment refrigeration networks.

2. Detect digitally: monitor authentication, configuration changes, controller logs and unusual remote sessions.

3. Detect physically: use independently powered and connected sensors to monitor real conditions and alert through a path that does not depend on the refrigeration controller.

4. Respond: define who receives the alert, who can isolate the affected system, where inventory can be transferred and what evidence must be preserved.

Alerts only create value when connected to authority and action. Escalation paths should be tested, contact details maintained and backup storage capacity understood before an incident occurs.

From food loss to patient safety

The recent attacks on European supermarkets demonstrated that compromised refrigeration can rapidly destroy inventory and interrupt operations. The EFS incident shows that the same technical exposure can reach healthcare cold chains, where the consequences extend beyond financial loss.

In this case, alarms and human intervention prevented harm. That is not evidence that the risk was small. It is evidence that defence in depth worked.

Every organisation operating critical cold storage should now ask three questions:

• Can a supplier or attacker change our refrigeration settings remotely?

• Would we still know the real temperature if the controller were compromised?

• Can the right person act before the product crosses its safe limit?

For cold-chain operators, independent real-time monitoring is no longer only a quality-control capability. It is a practical control for limiting the physical consequences of a cyber incident.

Sources

[1] The Guardian — French blood banks hacked in latest cyber-attack on Europe

[2] Associated Press — Cyberattack on French blood banks thwarted before damage

[3] franceinfo — Cyberattack affects refrigeration facilities used by EFS without impact on stored samples

The Second Wave of Freezer Cyberattacks: Why Independent Real-Time Alerts Matter

A second wave of cyberattacks against European supermarket refrigeration systems has turned a cybersecurity weakness into a direct product-loss event. On 2 November, retailers in Belgium, Luxembourg, Sweden, Ireland, the Netherlands, Estonia and Finland reported refrigeration incidents. Freezer temperatures in some locations were reportedly driven as high as 50°C, forcing stores to remove fresh and frozen goods from sale.

The incidents followed the October attack on hundreds of French supermarkets. The pattern matters: connected refrigeration is no longer only an operational technology issue. When a remote attacker can alter a defrost cycle or temperature setting, cyber risk becomes food-safety risk, inventory risk and business-interruption risk within hours.

The most dangerous delay is between manipulation and discovery

A refrigeration controller may continue to communicate while the physical environment is already moving outside safe limits. If the controller itself is compromised, relying exclusively on its dashboard or alarms creates a single point of trust.

This is where an independent condition-monitoring layer becomes valuable. Sensefinity's Sensorice uses separate sensors to measure temperature and humidity and sends data through a gateway to the cloud. Configurable alerts can notify responsible teams by email or SMS when thresholds are crossed.

Sensorice does not identify malware or attribute an attack. Instead, it detects the physical consequence that operations teams need to act on: an unexpected temperature rise, a sustained excursion or a pattern that does not match normal refrigeration behaviour.

An operational hedge against cyber-physical loss

Cybersecurity controls should prevent unauthorised access. Sensorice addresses a different question: if prevention fails, how quickly can the business see the physical impact and intervene?

When deployed separately from the refrigeration controller and its management network, Sensorice can provide an additional source of condition data. That separation matters during an incident because the alert does not have to depend on the same controller that may have been manipulated.

A practical workflow can be configured around four steps:

1. Measure: Sensorice records the real temperature and humidity around the protected goods.

2. Detect: thresholds, persistence rules and escalation levels distinguish a short fluctuation from a developing excursion.

3. Alert: store, maintenance, facilities, food-safety and security teams receive timely notifications by email or SMS.

4. Act and document: teams isolate the affected equipment, move stock, verify product condition and retain a time-stamped record of the event and response.

This creates an operational hedge against cyber risk. It cannot stop an attacker from reaching a vulnerable controller, but it can reduce the time between manipulation and human intervention. In a cold-chain incident, that interval can determine whether stock is transferred in time or discarded.

Alerts need context, ownership and escalation

A temperature alert alone is not a response plan. Retailers need rules that connect each sensor to the correct cabinet, room, product category and responsible team.

Sensorice deployments can support:

• warning and critical thresholds for each refrigeration zone;

• alerts based on both temperature and duration, reducing noise from brief door openings;

• escalation when the first contact does not acknowledge an alert;

• monitoring across multiple stores from one operational view;

• time-stamped reports for maintenance, food-safety review and incident investigation;

• comparison between independent sensor readings and the refrigeration control system.

The objective is not to generate more alarms. It is to produce the right alarm early enough for a named person to make a decision.

Better evidence for continuity, claims and risk management

The European incidents also show why retailers need reliable records after the immediate crisis. Insurers, auditors, suppliers and food-safety teams may need to establish when temperatures started rising, how long goods were exposed, who was warned and what corrective action followed.

Sensorice data can contribute to that evidence trail. It can help separate unaffected stock from goods requiring quarantine or disposal and provide a factual timeline for maintenance and incident-response teams.

This does not guarantee insurance coverage or replace the terms of a cyber or property policy. It can, however, strengthen the evidence used to demonstrate monitoring, escalation and loss-mitigation measures.

Sensorice complements — it does not replace — OT cybersecurity

The first priority remains securing the refrigeration environment: remove unnecessary public internet exposure, replace default credentials, patch supported controllers, retire unsupported equipment, restrict remote access, segment networks, monitor administrative activity and maintain a tested isolation plan.

Sensorice should be treated as a compensating operational control and an independent source of physical truth. It does not detect malware, prevent ransomware, identify an attacker or replace network and operational-technology security.

Its role is narrower and immediately practical: identify dangerous physical change, alert the people who can intervene and preserve a record of what happened.

From connected refrigeration to resilient refrigeration

The second European wave shows that the issue is not confined to one retailer or one country. Any organisation that stores temperature-sensitive goods should assume that a connected controller can fail, be misconfigured or be manipulated.

Resilience comes from not trusting a single signal. A refrigeration controller operates the equipment. An independently deployed Sensorice layer verifies the condition around the goods and can raise timely alarms when reality diverges from expectations.

Sensefinity can help retailers, cold stores, food distributors and pharmaceutical operators assess sensor placement, alert thresholds, escalation paths and reporting requirements for a pilot deployment.

Sources and product information

• Supply Chain Digital: European supermarket freezers targeted by major cyber attack

• Sensefinity Cold Chain / Sensorice

• Sensefinity NB-IoT Trackers

When a Cyberattack Breaks the Cold Chain: How Real-Time Alerts Prevent Product Loss

A cyberattack does not need to steal data to destroy value. If an attacker can manipulate a connected refrigeration controller, the result can be a silent rise in temperature, spoiled food, damaged pharmaceuticals and a broken chain of custody.

That risk became real in France in October 2026. French authorities warned that internet-exposed refrigeration controllers had been compromised, while industry reporting described hundreds of supermarkets being affected. Attackers reportedly altered settings and triggered defrost cycles remotely. In one reported case, a cold room warmed by approximately 6°C in two hours.

The incident is a reminder that the cold chain is now cyber-physical infrastructure. Digital controls operate physical equipment, and a compromised command can quickly become a product-quality, safety and financial event.

What happened in the French refrigeration attack?

The campaign targeted connected refrigeration control systems that could be reached remotely. France’s national cybersecurity agency, ANSSI, published an alert concerning compromises involving LAE Electronic and Copeland Dixell controllers. The risk was not limited to a conventional IT outage: attackers could interfere directly with cooling operations.

According to incident reporting, the attack affected retailers across France and forced some stores to discard refrigerated products. Yet another detail is especially important for cold-chain operators: independent monitoring reportedly detected an abnormal temperature increase at a store in Bordeaux at around 4 a.m., allowing teams to intervene before the incident caused greater losses.

That is the difference between discovering an incident in a dashboard and discovering it in a warehouse full of spoiled goods.

The controller cannot be the only source of truth

Traditional refrigeration supervision often depends on the same controller that operates the equipment. That creates a dangerous dependency. If the controller is compromised, unavailable or reporting misleading values, the monitoring layer may fail at exactly the moment it is needed most.

An independent IoT sensor provides a separate source of physical truth. It measures what is actually happening around the product: temperature, humidity, location, movement or door activity, depending on the deployment. It does not need to trust the refrigeration controller’s command history.

This distinction matters. A controller may report that a setpoint is correct while an independent sensor shows that the cargo or storage area is getting warmer. The mismatch itself becomes actionable evidence.

How Sensefinity real-time alerts can expose the attack

Sensefinity’s role is not to replace firewalls, secure remote access, patch management or an incident-response team. It adds an independent detection and response layer focused on the condition of the goods.

A Sensefinity deployment can help identify the operational signature of a refrigeration attack through:

• Threshold alerts: teams are notified when temperature or humidity leaves the permitted range, rather than waiting for a manual inspection.

• Rate-of-change alerts: a rapid and unusual rise can trigger action before a maximum temperature threshold is reached.

• Continuous monitoring: anomalies can be detected during nights, weekends and other periods when no employee is physically present.

• Independent measurements: sensor data can be compared with the refrigeration system’s own readings to reveal discrepancies.

• Fleet-wide pattern detection: simultaneous or similar anomalies across several stores, cold rooms, trailers or containers can indicate a coordinated event rather than an isolated mechanical failure.

• Escalation workflows: alerts can be routed to the people responsible for operations, quality and security, reducing the time between detection and intervention.

Sensefinity does not need to identify the malware to protect the cargo. It detects the physical consequence of the attack early enough for people and automated workflows to respond.

From alert to damage prevention

A useful alert must lead to a predefined action. When an independent sensor detects unexpected warming, the response playbook can include:

1. Confirm the anomaly using independent sensor data.

2. Notify the store, warehouse or transport operator immediately.

3. Move vulnerable products to a verified cold zone or activate backup refrigeration.

4. Isolate remote access to the affected controller and involve the cybersecurity team.

5. Preserve the temperature history, alert timeline and response actions for quality, insurance and forensic review.

Minutes matter. Early detection can prevent an entire load or cold room from crossing its permitted exposure limit. Even when some temperature deviation occurs, a continuous record helps quality teams determine which products remain safe instead of discarding everything because the history is unknown.

Building a cyber-resilient cold chain

Cybersecurity and cold-chain monitoring should no longer be treated as separate disciplines. A resilient architecture combines secure controllers and networks with independent condition monitoring at the asset, shipment or storage-zone level.

Operators should reduce internet exposure, change default credentials, secure VPN access, apply vendor updates and segment operational technology networks. But they should also assume that preventive controls can fail. Independent real-time sensors provide the final verification layer: Is the product still within specification?

The French incident shows why that question must be answered continuously. A cyberattack may begin in a remote-access interface, but the financial damage appears in pallets, cabinets, trailers and containers. The fastest way to limit that damage is to detect the physical anomaly while there is still time to act.

Protect the product, not only the network

Sensefinity gives cold-chain operators real-time visibility into the condition and location of goods, with alerts designed to turn abnormal conditions into immediate action. By maintaining an independent record of what the cargo actually experienced, companies can respond faster, reduce waste and strengthen evidence across the chain of custody.

If your refrigeration controls were compromised tonight, how long would it take your team to know?

Contact Sensefinity to discuss an independent real-time monitoring and alerting layer for your cold-chain operations.

Sources

• CERT-FR: Compromission de contrôleurs de réfrigération LAE Electronic et Copeland Dixell

• BleepingComputer: Cyberattack shuts down refrigerators at French supermarkets

• SecurityWeek: Supermarket refrigeration attack widens to Copeland Dixell controllers

The F-35 Shipment That Went to Hong Kong: Why Critical Components Need Verifiable Custody

Australia confirmed on 22 September that unserviceable F-35 components shipped from the country for repair in the United States had instead been diverted to Hong Kong. The Australian government is assisting US authorities and Lockheed Martin with the investigation.

ABC reported that the shipment included a canopy incorporating radar-resistant technology and that an intermediary was responsible for transport. Australia’s defence minister, Richard Marles, also said that, according to his understanding, no technologically sensitive equipment had been lost. The reason for the diversion, the present location of every component and any access by a third party have not been publicly confirmed.

That distinction matters. This is not evidence that China obtained F-35 secrets. It is evidence of a custody-control failure serious enough to trigger government and congressional scrutiny.

A manifest records intent, not physical reality

A shipping document can say “United States” while the physical asset travels somewhere else. In a multi-party transport chain, information moves through maintenance teams, freight forwarders, airlines, customs agents and repair facilities. A wrong routing instruction, an unauthorised change or a simple mismatch between systems can survive several handoffs before anyone sees the full picture.

Critical logistics therefore needs independent evidence tied to the component itself—not only to an aircraft, booking or airway bill.

At Sensefinity, we connect the physical unit to its digital identity. An item-level or case-level sensor can report location, movement, opening, light exposure, separation from its assigned container and abnormal loss of communication. Geofences can cover approved routes, airports and jurisdictions. When the component leaves that policy envelope, the platform can create an exception while intervention is still possible.

An alert does not prove hostile intent. It reduces the time between divergence and response.

Learn more about Sensefinity Cargo Safety.

A destination change must become a signed custody event

Rerouting is normal in global logistics. Silent rerouting is not acceptable for controlled components.

Every destination or carrier change should require:

• strong identity for the requesting party;

• dual authorisation for high-risk exceptions;

• an explicit reason and timestamp;

• confirmation through a channel independent of the change request;

• acceptance by the new carrier and consignee;

• reconciliation with the component’s live telemetry.

Each physical handoff should bind the person, organisation, component identifier, seal, time and location. If the transport record says the United States while the sensor indicates Hong Kong, the mismatch should block automatic acceptance and open an investigation.

Blockchain makes later rewriting visible

Sensors show what happened in the physical journey. Blockchain can help preserve who authorised it, what each participant accepted and which record existed at a specific time.

The right design for sensitive supply chains is permissioned. Military or commercially restricted information does not need to be published on a public chain. Hashes, identities, document versions and timestamps can be anchored while operational detail remains off-chain under access control.

This creates a shared, tamper-evident chronology across organisations that may not share one database. An investigator can compare the original manifest, authorised route, sensor events, custody receipts and later changes without trusting a single party’s retrospective export.

Blockchain does not make bad input true, and it does not physically prevent diversion. It is effective when combined with authenticated sensors, strong approvals and an operational response process.

See how our Blockchain solution connects telemetry, identity and chain of custody.

Five controls critical shipments should adopt now

1. Bind identity to the physical unit. Link every component, case and container to its sensor, seal, manifest and authorised destination.

2. Monitor policy, not just position. Alert on prohibited jurisdictions, route deviations, unplanned transfers, opening and abnormal silence.

3. Make changes explicit. Require dual approval and out-of-band confirmation for destination, carrier or consignee changes.

4. Prove every handoff. Record strong identity, time, location, condition and counterparty acceptance at each custody transfer.

5. Preserve the evidence. Keep raw telemetry and anchor approvals and versions in a permissioned, tamper-evident record with defined escalation and recovery procedures.

The lesson is broader than defence. Semiconductor equipment, prototypes, medical products, luxury goods and other high-value assets face the same gap between the route written in a system and the journey taken by the physical object.

Critical cargo should never be “somewhere in the network.” It should have a continuously verifiable identity, route and custodian.

Read the complete Prova analysis, including the confirmed facts and the limits of what is publicly known.

Sources

• ABC News — Australia confirms F-35 jet parts went missing in Hong Kong, sparking China security fears

• CNN — Australia confirms F-35 fighter jet parts were mistakenly diverted to Hong Kong

When Cold-Chain Service Cannot Be Proven: The Graciosa Fish Case

Complaints reported on 9 September 2026 about cold handling for fish air cargo travelling to and from Graciosa Island raise a simple but important question: how can an operator prove that the paid refrigeration service was actually delivered at every stage? The allegations still require investigation, but the underlying visibility gap is already clear.

An invoice is not a temperature record

A service charge confirms that refrigeration was purchased. It does not show when a fish lot entered cold storage, its temperature while waiting or transferring, how long it remained outside its permitted range, or who held custody when a deviation occurred.

For perishable cargo, those facts must travel with the lot. Sensefinity's cold-chain monitoring connects temperature, location and time data so teams can receive alerts while intervention is still possible—not discover a broken chain only after delivery.

Each transfer needs evidence

The risk is not limited to the flight. It can appear at the dock, during transport to the airport, while awaiting screening, at an intermediate stop or at final delivery. Every handover needs an accountable party, defined thermal limits and a continuous record.

Sensor data can be linked to a tamper-resistant blockchain audit trail, creating evidence of what happened, where and when. Blockchain does not refrigerate fish; it helps prove whether the cold-chain process was followed.

Read the full Prova analysis

Our partner publication Prova examines the Graciosa case in greater detail, including how real-time alerts, lot-level traceability and a Digital Product Passport can support release, inspection, quarantine and claims decisions.

Read “Fish cold chain in the Azores: proving the service was delivered” on Prova.

The lesson is practical: for temperature-sensitive cargo, availability is not enough. The supply chain must be able to demonstrate, operation by operation, that the service was delivered and the product remained within its agreed conditions.

A New Destination Is a New Custody Act

A freight destination is not just an address field. Changing it alters the authorised route, the intended consignee and the point at which custody passes to another party. When that decision lives only in an email, a phone call or an overwritten TMS field, a fraudulent redirection can look like routine administration.

Replace silent edits with signed events

We believe every destination change should create a new custody act tied to the lot: previous destination, new destination, reason, requesting organisation and person, timestamp, approval policy and a cryptographic reference to the preceding event. The old instruction remains visible. Revocations, refusals and corrections become additional events rather than rewritten history.

Strong authentication must come before signature. For sensitive loads, that means step-up or multi-factor authentication, explicit confirmation of what is being signed and dual approval when value, product or route justifies it. A valid login is not enough; the signer must also be authorised to redirect that specific lot.

Anchor proof, protect commercial data

With Sensefinity's blockchain layer, the signed document can remain access-controlled off-chain while its hash, version and timestamp are anchored in a tamper-resistant history. Authorised partners can verify that the instruction presented is the one that was signed and identify what came before it without publishing sensitive commercial details.

Blockchain cannot prove that a bad instruction was true or prevent a compromised credential. Its value is narrower and more useful: changes, sequence and conflicts become much harder to hide.

Connect authorised intent to physical movement

The signed act defines what should happen. Cargo telemetry shows what is happening. Sensefinity's Cargo Safety capabilities can detect unplanned stops and unauthorised access and support asset-level tracking. Comparing those signals with the latest authorised destination creates an actionable exception when a load leaves its approved route before a valid change exists.

Read the full Prova article

The full Prova analysis explains the event model, authentication and authorisation controls, blockchain anchoring, a seven-step operating workflow and how this approach aligns with the move toward authenticated, auditable freight data.

Read “A destination change is a custody act — and it should be signed” on Prova.

A destination change should never erase the past. It should add a signed, attributable and verifiable decision to the lot's custody history.

The $647,420 Nike Pickup That Looked Legitimate — Until It Wasn’t

A driver arrived at a Memphis facility with documents that appeared sufficient to collect a Dallas-bound shipment of Nike merchandise. The cargo left the dock. But the driver was not completing the authorized movement, the paperwork was fraudulent, and the shipment headed towards the Chicago area instead.

The fictitious pickup happened on 21 August 2026. Nike contacted the Cook County Sheriff’s Police Organized Retail Crime Unit two days later, and investigators ultimately recovered approximately $647,420 in merchandise at a distribution facility in Des Plaines, Illinois, together with a stolen trailer. At the time of the report, no arrests or charges had been announced and the investigation remained active.[1]

This was not a failure of a lock. It was a failure of trust: the wrong person presented documents that looked right long enough for legitimate staff to release valuable cargo.

When a document looks right but custody is wrong

Traditional shipping documents describe an intended transaction. They do not necessarily prove that the person standing at the dock is the person currently authorized to execute it.

A convincing PDF, bill of lading or pickup reference can be copied, altered or generated from compromised information. The Nike incident is especially instructive because the shipment did not first disappear from an unattended parking area. It was handed over at origin after false paperwork made an unauthorized collection appear legitimate.[1]

It also sits within a wider pattern. In a separate Nike case, federal prosecutors alleged that unauthorized UPS labels were used to divert products from the company’s Memphis distribution operation. Reporting on that case describes “ghost labels” covering original shipping labels and redirecting packages to private addresses; those allegations have not been proven in court.[2]

The common weakness is clear: when operational truth lives only in editable labels, emails and documents, whoever can reproduce the appearance of authority may be able to redirect the physical goods.

Blockchain should verify the handover, not archive the fraud

Simply uploading a document to a blockchain is not enough. If false information is accepted at the start, an immutable database only preserves a false statement.

The useful model is different: create a verifiable digital chain of custody and require every physical handover to match its current authorized state. Before a warehouse releases a shipment, the system should be able to answer five questions:

1. Which exact shipment is being collected? A unique digital identity binds the order, cargo unit, pallet or container to the operational record.

2. Who is authorized right now? The approved carrier, driver, vehicle and pickup window are recorded by trusted parties, rather than inferred from a document presented at the gate.

3. Has anything changed? A destination, carrier or collection instruction cannot be silently overwritten. A new authorization becomes a visible, time-stamped event.

4. Is this handover happening in the expected place and time? A one-time release credential can be bound to the shipment, facility and pickup window.

5. What happened after release? Independent IoT data confirms departure, movement and route exceptions instead of relying only on status messages from the party holding the load.

In that model, a counterfeit document is no longer the authority. It is merely a claim that must match the shared, verifiable record.

What the Nike pickup could have looked like

Imagine the same collection with digitally verified custody controls.

At the Memphis gate, the operator scans the shipment identifier and the driver’s one-time pickup credential. The system checks both against the latest authorization recorded for that shipment. If the driver, carrier, vehicle, destination or collection window does not match, the cargo is not released and the discrepancy is escalated through a known channel.

If all checks pass, the handover is signed as a new custody event. A cargo-level tracker then confirms when the load leaves the facility. A Dallas-bound shipment moving towards Chicago crosses a route or geofence rule, generating an alert while intervention may still be possible.

The incident report says investigators recovered the Nike merchandise after the diversion was identified.[1] A verified release process could have moved the decisive control point earlier—from recovery after the theft to refusal at the dock. No technology can guarantee prevention, but forged paperwork becomes much less useful when it cannot satisfy the digital authorization and physical-event checks required for release.

Sensefinity connects the record to the real cargo

The hard part of supply-chain blockchain is connecting digital claims to physical events. Sensefinity addresses that gap with IoT “oracles”: trackers and sensors that collect cargo location and environmental data, register it in the Sensefinity platform and can also write selected information to a logistics blockchain. Authorized partners can access the shared record without requiring direct access to one another’s internal IT systems.[3]

Our Blockchain solution provides the tamper-evident event layer. Our NB-IoT trackers locate assets on land and at sea and can issue alerts when an asset enters or leaves a configured geofence.[4]

Together, those capabilities support a stronger release and custody process:

• digitally signed shipment and pickup authorizations;

• an auditable history of instruction changes;

• verified handovers between shipper, carrier, warehouse and receiver;

• cargo-level location evidence independent of the truck or transport paperwork;

• immediate alerts for unauthorized departure, route deviation or unexpected arrival;

• a provenance record that follows the goods beyond a single logistics provider.

Trust the verified event, not the convincing document

Fictitious pickup succeeds in the gap between what a document says and what the operation can prove. Closing that gap requires more than checking logos, signatures and reference numbers. It requires a shared source of truth, a controlled handover and independent evidence from the cargo itself.

The $647,420 Nike recovery had a positive outcome. The more important objective for the next shipment is to make forged paperwork fail before the doors close and the truck leaves.

Talk to Sensefinity about combining IoT visibility, geofencing and blockchain-backed chain of custody for high-value cargo.

Sources

1. $647K Nike cargo recovered near Chicago after fraudulent Memphis pickup — FreightWaves

2. How Nike insiders were charged in a lucrative sneaker theft conspiracy — Los Angeles Times

3. Sensefinity Logistics Blockchain

4. Sensefinity NB-IoT Trackers

EPCIS in 2026: The State of Supply Chain Event Data

Supply chains have no shortage of data. They have a shortage of data that different companies can interpret in the same way.

That is the problem EPCIS was built to solve. GS1 describes EPCIS as its flagship standard for sharing the what, when, where, why and how of products and assets across organisations. EPCIS 2.0 extends that event model to sensor readings, certifications, JSON/JSON-LD, REST interfaces and GS1 Digital Link identifiers.[1]

This report assesses where the standard stands in 2026, what is driving implementation, and where projects still break down. It is a desk-research snapshot, not a vendor adoption survey. Our evidence comes from current GS1 specifications and public regulatory material.

The 2026 snapshot

Signal What the evidence says Industry implication Standard maturity EPCIS 2.0 was ratified in June 2022; its implementation guideline followed in March 2023 and the GS1 EPCIS Sandbox launched in February 2024.[1] The technical foundation is established. The main risk has moved from specification maturity to implementation discipline. Condition data EPCIS 2.0 can carry timestamped sensor data, including readings used in cold chains and industrial IoT.[1] Location events and temperature evidence can travel in one interoperable event stream. Certification data The standard supports certification details associated with products, organisations, locations, harvests and shipments.[1] Compliance evidence can be linked to the event where it matters rather than stored in an isolated document repository. API accessibility JSON/JSON-LD and REST capture/query interfaces are part of EPCIS 2.0.[1] Integration no longer has to start with XML-heavy, batch-only architecture. Regulatory pull The FDA Food Traceability Rule requires covered actors to retain Key Data Elements linked to Critical Tracking Events and provide requested information to FDA within 24 hours.[2] Regulated traceability is becoming an event-data problem, even where the law does not mandate EPCIS by name. DPP convergence The EU Digital Product Passport is being introduced progressively and will carry lifecycle, origin, material and environmental information for selected product groups.[11] Product master data and supply chain events will increasingly need a common identity layer.

Our finding: EPCIS covers five evidence layers, but governance remains outside the standard

We reviewed EPCIS 2.0 against five practical evidence layers required by modern cargo and product programmes.

Evidence layer EPCIS 2.0 coverage What still has to be designed Identity Native support through GS1 identifiers and Digital Link URI syntax.[1] Identifier ownership, granularity and partner onboarding. Business events Native event model for status, movement, transformation, aggregation and chain of custody.[1] A shared event vocabulary and rules for late or corrected events. Physical condition Native sensor-data support.[1] Device calibration, sampling frequency, alert thresholds and proof that a sensor remained attached to the cargo. Claims and certifications Native certification fields.[1] Who may issue a claim, how it expires and how it is revoked. Exchange JSON/JSON-LD and REST interfaces.[1] Access control, commercial permissions, retention and cross-company service levels.

The conclusion is useful because it separates a standards question from an operating-model question. EPCIS can express all five layers. It cannot decide which partner is trusted, how often a sensor should report, who pays for data retention or which event wins when two systems disagree.

Regulation is pushing companies toward event-level traceability

The strongest implementation pressure is no longer a generic promise of visibility. It is the need to reconstruct specific product histories quickly.

The FDA's Food Traceability Rule applies additional recordkeeping to foods on the Food Traceability List. Covered organisations must associate Key Data Elements with Critical Tracking Events and be able to provide the information to FDA within 24 hours or another agreed period.[2] GS1's own food-safety guidance maps GTIN, GLN and EPCIS event data to this need for product, location and movement records.[18]

The compliance date was originally January 20, 2026. FDA subsequently proposed a 30-month extension to July 20, 2028, and Congress directed the agency not to enforce the rule before that date.[2] That extension is preparation time, not a reason to postpone architecture. Partner identifiers, event semantics and exception workflows usually take longer than the API connection.

Europe is creating a second source of pressure. Under the Ecodesign for Sustainable Products Regulation, Digital Product Passports will be introduced through product-specific rules. The Commission lists batteries first, followed by product groups such as textiles, iron and steel, construction products and others.[8][11] A passport tells stakeholders what a product is and what must be known about it. EPCIS can supply the time-ordered operational evidence of what happened to it.

The adoption gap is not capture. It is continuity.

Most pilots can generate a shipping event. Far fewer can maintain a trustworthy history through repacking, consolidation, subcontracted transport and handover to another platform.

Four gaps appear repeatedly:

1. Identity breaks at aggregation. A pallet identifier is recorded, but the link between item, case, pallet and container is incomplete.

2. Condition data lacks business context. A temperature reading exists, but the system cannot say which shipment leg, custody holder or product lot it belongs to.

3. Partners use different event meanings. "Received" may mean arrival at the gate, unloading, quality acceptance or ERP posting.

4. Corrections are not governed. Event histories need a controlled way to handle duplicates, delayed data and amended records without erasing the audit trail.

EPCIS has the structures needed to address these problems. Implementers still need to agree on the operating rules.

A practical 90-day EPCIS readiness test

A company does not need a multi-year transformation programme to learn whether its data is ready. A useful first test follows one real shipment and asks five questions:

• Can every tracked object and logistics unit be identified consistently?

• Can the business record packing, shipping, receiving and transformation events using shared vocabulary?

• Can sensor readings be tied to the correct object, place and time?

• Can one external partner query only the events it is authorised to see?

• Can the team reconstruct the shipment history without manually joining spreadsheets?

If any answer is no, the pilot has identified a concrete interoperability gap. That is more valuable than a polished dashboard built on ambiguous data.

Where Sensefinity fits

Sensefinity already supports EPCIS supply chain events and can combine them with location, temperature and humidity data. Our NB-IoT trackers create observations from the physical journey; EPCIS gives those observations a shared business context.

The result is not simply another track-and-trace screen. It is an event history that can be exchanged with customers, suppliers and compliance systems without forcing every participant into the same application.

What to watch next

During the next implementation cycle, three developments deserve attention:

• convergence between EPCIS event histories and Digital Product Passport records;

• practical use of sensor and certification fields beyond proof-of-concept projects;

• partner governance, especially access rights, event correction and long-term availability.

The standard is ready enough. The differentiator in 2026 is whether companies can keep identity, condition and custody evidence connected after cargo leaves their own system.

Methodology and limitations

This report was prepared on September 5, 2026 from public GS1, FDA and EU sources. The readiness matrix is Sensefinity's analysis of features documented in EPCIS 2.0; it is not an adoption-rate survey. We found no authoritative global count of production EPCIS 2.0 deployments and have not invented one.

Sources

[1] https://www.gs1.org/standards/epcis — EPCIS & CBV | GS1 [2] https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods — FSMA Food Traceability Rule | FDA [8] https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1781 — Regulation (EU) 2024/1781 (ESPR) [11] https://single-market-economy.ec.europa.eu/single-market/digital-product-passport_en — Digital Product Passport | European Commission [18] https://gs1.org/public-policy/leveraging-GS1-standards-to-meet-key-food-safety-challenges — Leveraging GS1 standards for food safety | GS1

Theft is only half the risk: cold chain and provenance now decide cargo losses

By Sensefinity — August 29, 2026

For years, cargo risk meant one thing: would the shipment arrive? In 2026, the question has split in two. Beyond theft, operators now worry about whether the cargo arrived intact and whether it is genuinely what the paperwork claims. Two trends in this week's loss reports show why.

Cold chain under attack

Travelers and Food Logistics (2026) are now explicitly warning about theft and protection of refrigerated cargo. Stolen temperature-sensitive freight — food, pharmaceuticals, vaccines — is not just lost; it is spoiled the moment it sits in a warm trailer. The product the thief resells may already be unsafe, and the owner is left with a liability, not just a loss.

This is where continuous temperature monitoring changes the equation. A Sensefinity tracker logs cold-chain condition — temperature, shock, humidity — throughout transit, not just at the dock. If a reefer is opened, diverted or left running hot, the breach is recorded in real time. That turns "we assumed it stayed cold" into "we can prove it did — or didn't."

Provenance: the counterfeit problem

The second trend is fraud of origin. Europol has seized counterfeit food and beverages; in Portugal alone, more than 1,400 counterfeit items were intercepted in parcels in the Algarve, 12 tonnes of KitKat vanished across Europe, and national authorities confiscated 1.2 million counterfeit products in a year. Counterfeit goods ride the same logistics lanes as legitimate cargo — and once mixed in, they are nearly impossible to tell apart by sight or paper.

A Digital Product Passport anchored in blockchain lets each high-value unit carry verifiable proof of origin: where it was made, by whom, and through which hands it passed. At any stop, a scan confirms the item is the genuine article — and flags the one that isn't. For pharma, food and luxury goods, that distinction is the difference between a safe shipment and a recall.

"Fewer thefts, higher value"

Both trends sit inside a wider shift the industry keeps reporting: thieves are attempting fewer, higher-value hits. Verisk CargoNet's Q2 2026 data showed theft value climbing even as incident counts moved; Overhaul rates cargo theft a high risk for the second half of 2026. When the target is a pallet of medicine, a crate of premium food or a batch of branded goods, the loss isn't just the unit price — it's spoilage, counterfeiting and the erosion of trust.

What visibility changes

Sensefinity combines both defenses in one layer of supply-chain visibility:

• Cold-chain proof. Sensefinity’s NB-IoT trackers and smart sensors record temperature, shock and humidity continuously, so condition is known at every handoff, not assumed.

• Tamper and opening detection. Door and motion sensors flag unauthorized access before the product is compromised.

• Blockchain provenance. A Digital Product Passport makes origin verifiable at any point in the chain, separating genuine cargo from diverted or counterfeit goods.

• Real-time alerts. Deviations, breaches and anomalies reach security teams or authorities while there is still time to act.

Conclusion

Cargo risk in 2026 is no longer just "will it be stolen." It is "will it arrive cold, and will it be real." Theft, spoilage and counterfeiting are the same problem seen from three sides — and the same answer applies to all three: visibility you can trust, from origin to destination.

Because in high-value logistics, to see is to protect — and to prove.

Sensefinity — Internet of Cargo. AI- and Blockchain-powered supply chain visibility, from origin to destination.

From Tracking to Insurability: How Real-Time Cargo Data Changes Risk

Cargo insurance has traditionally relied on information collected before and after a journey. The shipper declares the goods and route, the insurer evaluates historical risk, and—if something goes wrong—the parties reconstruct the incident from documents, emails, photographs and testimony.

The most important part of the journey is often missing: reliable data from the cargo while the risk is unfolding.

Connected trackers and sensors change that model. They can report location, temperature, humidity, shock and other conditions in real time, generating alerts before an exception becomes a total loss. They can also preserve an evidence trail for claims, liability analysis and future underwriting.

This is the shift from tracking to insurability: using operational data not only to find cargo, but to understand and actively reduce the risk attached to it.

Insurance should help prevent the claim

Traditional insurance provides financial protection after a covered loss. Connected insurance can add a second layer: earlier warning while intervention is still possible.

Consider a refrigerated pharmaceutical shipment. A temperature alarm at the destination may confirm that the product is unusable. An alert during transport may allow the carrier to repair the refrigeration unit, move the cargo or protect the remaining shelf life.

The same principle applies to theft, route deviation, excessive humidity, impact and unexpected dwell time. The value of real-time monitoring is not simply that it records the event. It gives operators an opportunity to change the outcome.

Allianz Commercial has described cargo tracking as a risk-management tool that enables companies to act when goods are damaged or move off route. It also notes that real-time analysis of sensor data can support mitigation—for example, responding to excessive moisture or temperature before the damage becomes worse.[2]

At Sensefinity, this is the foundation of our Insurance of Things approach: connect the insured asset, detect harmful conditions and turn real-time data into preventive action.[3]

Better evidence can mean faster claims

When prevention is no longer possible, data still matters.

A cargo claim often raises difficult questions:

• When did the damage begin?

• Where was the shipment at that moment?

• Was the temperature already outside specification before a handover?

• Did a severe shock occur during loading, road transport or terminal handling?

• Was the container opened outside an authorized location?

• Which organization had custody when the event occurred?

Without an independent record, each participant may hold a different version of the journey. The result can be long correspondence, expert investigation and delayed settlement.

TT Club identifies specific insurance benefits from smart-container data. Real-time visibility can help insurers understand the volume and condition of units at risk, while an audit trail can help identify the origin of an incident or a potentially liable party. According to TT Club, this can reduce lengthy investigations or provide earlier corroboration of findings.[1]

Allianz Commercial likewise notes that IoT devices and telematics can help insurers assess risk, validate claims more efficiently and evaluate liability more accurately. Its analysis also connects real-time event data with stronger fraud detection and faster claims processing.[6]

A sensor record does not decide coverage by itself; policy terms and professional claims assessment still apply. But it can replace uncertainty with evidence.

From generalized assumptions to shipment-level risk

Cargo policies must often price risk using broad categories: commodity, route, mode of transport, packaging, claims history and security procedures. These factors remain important, but they do not always describe what happens on an individual journey.

Two identical shipments on the same route can have very different risk outcomes. One may remain continuously monitored, follow authorized geofences and stay within temperature limits. The other may experience an unexplained stop, a route change and a prolonged condition excursion.

Real-time operational data creates the possibility of evaluating those differences. Over time, insurers and cargo owners can identify patterns such as:

• routes or handovers associated with repeated exceptions;

• facilities where dwell time or temperature excursions are more frequent;

• packaging configurations that experience excessive shock;

• security procedures that reduce unauthorized movement;

• operators that consistently maintain agreed conditions.

This does not guarantee lower premiums. Pricing and coverage remain decisions for insurers and brokers. It does, however, give a well-managed shipper better evidence of its actual controls and performance—and gives the insurer better information for approval, terms and risk engineering.

The cargo needs its own source of truth

Vehicle telematics is valuable, but the truck and the cargo are not the same insured asset.

A trailer may be found after the pallets have been removed. A vehicle can follow the correct route while the goods inside experience excessive heat or humidity. A container can arrive with no visible external damage even though its contents suffered a critical shock.

Cargo-level monitoring closes this gap. Sensefinity’s NB-IoT trackers and smart sensors can be attached to containers, pallets, crates or selected high-value packages. They support location reporting, configurable geofence alerts, environmental thresholds and datalogging across long journeys.[4]

The result is a journey record centred on what is actually insured: the goods.

Trusted sharing across multiple parties

Insurance claims involve organizations that do not necessarily share the same systems: cargo owners, carriers, freight forwarders, warehouses, terminals, surveyors, brokers and insurers.

Data must therefore be useful without requiring every participant to surrender access to its internal infrastructure.

Sensefinity’s logistics blockchain can register selected events collected by trackers and sensors, including location and environmental conditions. Authorized partners can access a shared, tamper-resistant record without needing direct access to one another’s operational systems.[5]

This is particularly relevant to chain-of-custody questions. A trusted event history can support audits, clarify handovers and reduce disputes over which version of the journey is correct.

The technology should not create a new data burden. The objective is to preserve the events that matter: threshold breaches, route deviations, custody changes and other exceptions connected to the insured risk.

A practical Insurance of Things model

A connected cargo-insurance program can be built in six steps:

1. Identify the critical risk. Theft, temperature, humidity, shock, delay or unauthorized access.

2. Instrument the insured asset. Select the container, pallet, crate or item that must remain visible.

3. Define operational thresholds. Establish expected routes, geofences, condition limits and escalation rules.

4. Act on alerts. Assign named responders who can intervene before the loss becomes irreversible.

5. Preserve the evidence. Maintain a reliable timeline for claims, audits and performance analysis.

6. Learn from repeated journeys. Use historical data to improve routes, packaging, partners and risk controls.

This model creates value for both sides. The cargo owner gains earlier warning and stronger evidence. The insurer gains better visibility into risk quality, loss-prevention measures and the circumstances surrounding a claim.

Insurance becomes part of the operation

The future of cargo insurance is not a policy document disconnected from the physical journey. It is a risk partnership supported by live information.

TT Club’s vision of smart containers includes real-time condition data, geofences, early alerts and better audit trails for insurers.[1] Allianz sees sensor information supporting loss mitigation, efficient claims validation and more accurate risk assessment.[2][6]

Sensefinity brings those capabilities to the cargo level. Through trackers, sensors, analytics, alerts and trusted data sharing, our Insurance of Things approach connects financial protection with operational prevention.

Because the best claim is not merely the one settled quickly. It is the loss detected early enough to prevent.

Explore Sensefinity’s Insurance of Things solution or talk to us about a connected risk program for your cargo.

Sources

[1] TT Club, “TT Talk — What can we get out of a box?”: https://www.ttclub.com/news-and-resources/news/article/tt-talk-what-can-we-get-out-of-a-box/

[2] Allianz Commercial, “Sensors could improve navigation, supply chain and cargo risk management”: https://commercial.allianz.com/news-and-insights/expert-risk-articles/sensors-supply-chain-and-risk-management.html

[3] Sensefinity, “Insurance of Things”: https://www.sensefinity.com/insurance-of-things

[4] Sensefinity, “NB-IoT Trackers”: https://www.sensefinity.com/nbiot-trackers

[5] Sensefinity, “Blockchain”: https://www.sensefinity.com/blockchain

[6] Allianz Commercial, “Edge computing and cyber security”: https://commercial.allianz.com/content/dam/onemarketing/commercial/commercial/reports/commercial-edge-computing-and-cyber-security-report.pdfCargo insurance has traditionally relied on information collected before and after a journey. The shipper declares the goods and route, the insurer evaluates historical risk, and—if something goes wrong—the parties reconstruct the incident from documents, emails, photographs and testimony.

The most important part of the journey is often missing: reliable data from the cargo while the risk is unfolding.

Connected trackers and sensors change that model. They can report location, temperature, humidity, shock and other conditions in real time, generating alerts before an exception becomes a total loss. They can also preserve an evidence trail for claims, liability analysis and future underwriting.

This is the shift from tracking to insurability: using operational data not only to find cargo, but to understand and actively reduce the risk attached to it.

Insurance should help prevent the claim

Traditional insurance provides financial protection after a covered loss. Connected insurance can add a second layer: earlier warning while intervention is still possible.

Consider a refrigerated pharmaceutical shipment. A temperature alarm at the destination may confirm that the product is unusable. An alert during transport may allow the carrier to repair the refrigeration unit, move the cargo or protect the remaining shelf life.

The same principle applies to theft, route deviation, excessive humidity, impact and unexpected dwell time. The value of real-time monitoring is not simply that it records the event. It gives operators an opportunity to change the outcome.

Allianz Commercial has described cargo tracking as a risk-management tool that enables companies to act when goods are damaged or move off route. It also notes that real-time analysis of sensor data can support mitigation—for example, responding to excessive moisture or temperature before the damage becomes worse.[2]

At Sensefinity, this is the foundation of our Insurance of Things approach: connect the insured asset, detect harmful conditions and turn real-time data into preventive action.[3]

Better evidence can mean faster claims

When prevention is no longer possible, data still matters.

A cargo claim often raises difficult questions:

• When did the damage begin?

• Where was the shipment at that moment?

• Was the temperature already outside specification before a handover?

• Did a severe shock occur during loading, road transport or terminal handling?

• Was the container opened outside an authorized location?

• Which organization had custody when the event occurred?

Without an independent record, each participant may hold a different version of the journey. The result can be long correspondence, expert investigation and delayed settlement.

TT Club identifies specific insurance benefits from smart-container data. Real-time visibility can help insurers understand the volume and condition of units at risk, while an audit trail can help identify the origin of an incident or a potentially liable party. According to TT Club, this can reduce lengthy investigations or provide earlier corroboration of findings.[1]

Allianz Commercial likewise notes that IoT devices and telematics can help insurers assess risk, validate claims more efficiently and evaluate liability more accurately. Its analysis also connects real-time event data with stronger fraud detection and faster claims processing.[6]

A sensor record does not decide coverage by itself; policy terms and professional claims assessment still apply. But it can replace uncertainty with evidence.

From generalized assumptions to shipment-level risk

Cargo policies must often price risk using broad categories: commodity, route, mode of transport, packaging, claims history and security procedures. These factors remain important, but they do not always describe what happens on an individual journey.

Two identical shipments on the same route can have very different risk outcomes. One may remain continuously monitored, follow authorized geofences and stay within temperature limits. The other may experience an unexplained stop, a route change and a prolonged condition excursion.

Real-time operational data creates the possibility of evaluating those differences. Over time, insurers and cargo owners can identify patterns such as:

• routes or handovers associated with repeated exceptions;

• facilities where dwell time or temperature excursions are more frequent;

• packaging configurations that experience excessive shock;

• security procedures that reduce unauthorized movement;

• operators that consistently maintain agreed conditions.

This does not guarantee lower premiums. Pricing and coverage remain decisions for insurers and brokers. It does, however, give a well-managed shipper better evidence of its actual controls and performance—and gives the insurer better information for approval, terms and risk engineering.

The cargo needs its own source of truth

Vehicle telematics is valuable, but the truck and the cargo are not the same insured asset.

A trailer may be found after the pallets have been removed. A vehicle can follow the correct route while the goods inside experience excessive heat or humidity. A container can arrive with no visible external damage even though its contents suffered a critical shock.

Cargo-level monitoring closes this gap. Sensefinity’s NB-IoT trackers and smart sensors can be attached to containers, pallets, crates or selected high-value packages. They support location reporting, configurable geofence alerts, environmental thresholds and datalogging across long journeys.[4]

The result is a journey record centred on what is actually insured: the goods.

Trusted sharing across multiple parties

Insurance claims involve organizations that do not necessarily share the same systems: cargo owners, carriers, freight forwarders, warehouses, terminals, surveyors, brokers and insurers.

Data must therefore be useful without requiring every participant to surrender access to its internal infrastructure.

Sensefinity’s logistics blockchain can register selected events collected by trackers and sensors, including location and environmental conditions. Authorized partners can access a shared, tamper-resistant record without needing direct access to one another’s operational systems.[5]

This is particularly relevant to chain-of-custody questions. A trusted event history can support audits, clarify handovers and reduce disputes over which version of the journey is correct.

The technology should not create a new data burden. The objective is to preserve the events that matter: threshold breaches, route deviations, custody changes and other exceptions connected to the insured risk.

A practical Insurance of Things model

A connected cargo-insurance program can be built in six steps:

1. Identify the critical risk. Theft, temperature, humidity, shock, delay or unauthorized access.

2. Instrument the insured asset. Select the container, pallet, crate or item that must remain visible.

3. Define operational thresholds. Establish expected routes, geofences, condition limits and escalation rules.

4. Act on alerts. Assign named responders who can intervene before the loss becomes irreversible.

5. Preserve the evidence. Maintain a reliable timeline for claims, audits and performance analysis.

6. Learn from repeated journeys. Use historical data to improve routes, packaging, partners and risk controls.

This model creates value for both sides. The cargo owner gains earlier warning and stronger evidence. The insurer gains better visibility into risk quality, loss-prevention measures and the circumstances surrounding a claim.

Insurance becomes part of the operation

The future of cargo insurance is not a policy document disconnected from the physical journey. It is a risk partnership supported by live information.

TT Club’s vision of smart containers includes real-time condition data, geofences, early alerts and better audit trails for insurers.[1] Allianz sees sensor information supporting loss mitigation, efficient claims validation and more accurate risk assessment.[2][6]

Sensefinity brings those capabilities to the cargo level. Through trackers, sensors, analytics, alerts and trusted data sharing, our Insurance of Things approach connects financial protection with operational prevention.

Because the best claim is not merely the one settled quickly. It is the loss detected early enough to prevent.

Explore Sensefinity’s Insurance of Things solution or talk to us about a connected risk program for your cargo.

Sources

[1] TT Club, “TT Talk — What can we get out of a box?”: https://www.ttclub.com/news-and-resources/news/article/tt-talk-what-can-we-get-out-of-a-box/

[2] Allianz Commercial, “Sensors could improve navigation, supply chain and cargo risk management”: https://commercial.allianz.com/news-and-insights/expert-risk-articles/sensors-supply-chain-and-risk-management.html

[3] Sensefinity, “Insurance of Things”: https://www.sensefinity.com/insurance-of-things

[4] Sensefinity, “NB-IoT Trackers”: https://www.sensefinity.com/nbiot-trackers

[5] Sensefinity, “Blockchain”: https://www.sensefinity.com/blockchain

[6] Allianz Commercial, “Edge computing and cyber security”: https://commercial.allianz.com/content/dam/onemarketing/commercial/commercial/reports/commercial-edge-computing-and-cyber-security-report.pdf