Cargo Theft Shifts From Opportunistic Crime to Structured, Data-Driven Attacks Across Global Supply Chains
- Freddie Bolton
- 2 hours ago
- 5 min read
Rising geopolitical fragmentation, persistent inflationary pressure, and continued volatility in global trade lanes are reshaping risk exposure across supply chains. High-value goods - particularly electronics, pharmaceuticals, and branded consumer products - are moving through longer, more complex networks, often with multiple handoffs across carriers, brokers, and facilities. At the same time, organized criminal networks are adapting, leveraging digital access, identity spoofing, and operational intelligence to exploit weak points in logistics execution rather than relying on physical interception alone.
The result is a structural shift: cargo theft is no longer primarily a physical security problem at rest points or transit corridors. It is increasingly a systems-level vulnerability tied to identity verification, process discipline, and visibility continuity.
Responses to Security Guys News were provided in writing by Brian Jacobsen, Senior Manager of Capacity and Network Optimization at ITS Logistics; Sam Agyemang, VP Business Development at ITF Group; and Brice Cruchon, CEO of Dracula Technologies.
From Physical Theft to Identity-Based Supply Chain Infiltration
Brian Jacobsen describes a clear evolution in threat patterns, moving away from opportunistic theft toward coordinated, data-driven operations.
“Over the past decade, we've seen cargo theft evolve from opportunistic, armed robberies into strategic, data-driven, organized crime operations. The most common risk we’re seeing today is identity-based fraud - bad actors infiltrating carrier networks by impersonating trusted partners through compromised emails, using stolen credentials, or acquiring seasoned MC numbers through off-record sales.
These bad actors are targeting specific commodities - precious metals, energy drinks, and apparel being the most at-risk today. Their goal is to gain information so they can exploit weaknesses in shipments as they move through the supply chain. Are intermediaries confirming freight bookings with a phone call? Are warehouses checking cab numbers or scanning CDLs before loading a truck? From there, they'll utilize common tactics like double brokering or transloading - redirecting shipments away from their real delivery location to unauthorized yards or secret locations where they can be quickly offloaded and disappear into secondary networks. By the time you realize something is amiss, the freight is gone.
What makes this shift more challenging is how calculated it is. These actors are patient, informed, and targeting high-value commodities with precision, which means traditional safeguards alone are no longer enough.”
The operational implication is that visibility alone does not prevent theft if the wrong entity is entrusted with the shipment at origin. Fraud now often occurs before a truck moves, embedded in booking, dispatch, and carrier verification workflows.
Technology as a Visibility Layer - Not a Complete Control
While GPS tracking, IoT sensors, and AI analytics are widely deployed, their role remains constrained if not integrated into upstream risk controls. Jacobsen notes that many of these tools are inherently reactive: “Technologies like GPS tracking and IoT sensors are essential, but they serve a somewhat reactive role. Once you get an alert that a shipment is off-route or has been tampered with, something is already going wrong. That technology then becomes critical in freight recovery efforts - and rapidly advancing IoT devices have supported efforts to bring down crime rings responsible for millions of dollars in stolen freight. In an ideal world, shipments never enter the hands of a bad actor.
That’s why the real shift is towards proactive tools, especially those that utilize AI and advanced analytics to identify risk before a shipment is picked up. This data can be used to understand and design a plan for keeping freight safe en route, such as working with carriers to avoid certain rest areas or knowing when to implement stricter SOPs for targeted commodities. Computer vision and identity verification tools also help us confirm exactly who we're working with by validating truck colors, preexisting footprint, and last known activity dates.
But even with the right technology, this is still a problem that requires real human expertise to solve. The best way to think about it is like playing poker - you can know the rules and use every technological tool available, but you still have to have someone who can read the table.”
This reflects a broader shift toward pre-dispatch risk scoring, where AI models evaluate carriers, routes, and shipment characteristics before assignment, rather than relying solely on in-transit alerts.
Process Discipline as the Primary Control Layer
Sam Agyemang frames cargo theft less as a technology gap and more as an execution failure within operational processes.
“Cargo theft is no longer a back-lot problem. It’s a systems problem. The industry talks about stolen trailers, but the real vulnerability is a weak process. High-value freight is being targeted through identity spoofing, digital manipulation, and operational complacency. Criminal networks study routing habits, exploit loose vetting standards, and capitalize on companies that confuse activity with control.
The uncomfortable truth is this: theft scales where discipline doesn’t.
Technology is only part of the strategy. GPS pings and dashboards don’t stop theft, they report it. Prevention comes from layered discipline: strict carrier verification, controlled routing protocols, secured drop environments, defined check-in windows, and real accountability across sales and operations. When governance is embedded into execution, risk drops dramatically. You can’t outsource security to software alone. You have to design it into your daily operations.”
This perspective aligns with increasing emphasis on standard operating procedures (SOPs), carrier onboarding controls, and auditability across logistics networks. In practice, many theft incidents trace back to breakdowns in basic verification steps rather than failures of advanced technology.
Eliminating Visibility Gaps in Long-Distance Transport
A separate constraint is continuity of tracking itself. Many IoT devices still depend on battery power, creating operational limitations in long-haul or multi-leg shipments.
Brice Cruchon highlights this gap:
“The real challenge with cargo tracking today is not just about having the right technology in place, it is making sure it works all the time.
We have made huge progress with GPS, IoT sensors and AI, but most tracking devices still depend on batteries. In practice, that means limited lifetime, maintenance constraints, and sometimes gaps in visibility, with a loss of continuity in the sending of information.
When you are transporting high-value goods, even a short interruption can create a real risk, especially across complex, long-distance supply chains. For goods like electronics, for example, continuous tracking is critical because any interruption creates a blind spot that can be exploited and increases the risk of theft. It is just as important for pharmaceuticals, where you need to maintain full visibility at all times to ensure product integrity, regulatory compliance, and patient safety.
At Dracula Technologies, we see a growing shift toward more autonomous IoT devices. With organic photovoltaic technology, sensors can harvest ambient light and continue operating without the need for battery replacement. This allows tracking systems to remain active for much longer, with far less maintenance, and with a level of reliability that was difficult to achieve before.
For logistics operators, this changes things quite significantly. You can deploy IoT tracking devices at scale, monitor assets continuously, and reduce blind spots across the supply chain. It also helps lower maintenance costs and simplifies deployment, which is critical when managing large volumes of shipments. You can install and forget your product.
In the end, improving cargo security is not only about better data or smarter algorithms. It is about having systems you can rely on at all times, without interruption.”
Continuous visibility is particularly relevant for regulated goods such as pharmaceuticals, where chain-of-custody and environmental monitoring requirements intersect with security considerations.
Converging Toward Layered Security Models
Across all three perspectives, a consistent model emerges. Effective cargo security now depends on layered controls: identity verification at booking, disciplined operational processes during execution, continuous and reliable tracking during transit, and AI-assisted risk assessment before and during shipment movement.
Technology remains a critical enabler, but not a standalone solution. The operational boundary is shifting upstream, from detecting theft in transit to preventing fraudulent access to freight networks altogether. As supply chains continue to stretch across geographies and intermediaries, the companies that reduce loss exposure are those aligning technology, process discipline, and human expertise into a single operational framework.
