project44 launched Theft Prevention, an AI-powered suite that continuously monitors truckload shipments for signs of cargo theft and automatically triggers carrier outreach when high-risk events occur, reducing the window between incident detection and resolution to minutes.
"AI is only as good as the data behind it. project44 has spent over a decade building a foundation of verified, compounding context across 1.5 billion annual shipments, and that's what standalone security tools can't replicate. That foundation is what makes autonomous response possible and trustworthy, and what turns detection speed into a recoverable outcome rather than an alert that arrives too late," says Jett McCandless, founder and CEO of project44.
Key takeaways:
· The suite uses AI models and telematics data from ELD providers, trailer sensors, and door sensor feeds to monitor shipments and raise actionable exceptions within minutes of suspicious activity. When an exception is detected, an AI agent automatically contacts the carrier to verify shipment status, providing unlimited, simultaneous coverage across every shipment in a network. Earlier detection increases the probability of cargo recovery before a loss is realized, reducing both claims frequency and the write-offs that follow when cargo is classified as missing.
· The initial release includes four core capabilities:
Zone Monitoring: Customers define risky and safe geofences directly within the platform, including theft hotspots, border crossings, and secure parking locations. The system generates proactive approach, entry, dwell, and exit alerts with explainable context, showing zone name, time in zone, and vehicle location. project44 also maintains a curated, regularly updated list of cargo theft hotspots sourced from industry data, helping customers identify risk areas faster and intervene before a theft occurs. Teams can use zone intelligence to inform carrier scorecards, route procurement decisions, and RFP pricing on lanes with elevated risk profiles.
Route Deviation: An AI model continuously compares actual truck movement against an expected route, detecting distance-based and time-based deviations in real-time. Trained on project44's network of 1.5 billion annual shipments, the model derives route baselines automatically from historical lane data when predefined routes aren't available, a capability most standalone theft products lack. Each deviation triggers a timestamped exception showing deviation type, distance or time from baseline, detection location, and shipment identifiers, giving teams the earliest possible signal to intervene before a shipment is lost. Acting on that signal in seconds rather than hours is the difference between cargo recovery and a total loss claim.
Idle Detection: An AI model monitors unscheduled vehicle idling by combining speed thresholds, engine status, and optional door sensor signals to distinguish true idle events from planned stops. When a vehicle idles beyond a configurable threshold, the system raises an explainable exception showing idle duration, vehicle location, and zone context, so teams can act on signals that matter and reduce exposure during the highest-risk moments of a shipment's journey. Precise idle detection also reduces false-positive alert volume, a persistent problem with standalone monitoring tools that forces analysts to manually triage noise before they can respond to real threats.
AI Agents: When a risk exception is detected, an AI agent automatically initiates carrier outreach to verify shipment status and confirm driver location and escalate when contact cannot be established, enabling teams to contain incidents faster and improve the odds of cargo recovery. This autonomous response layer means a single analyst can cover significantly more lanes simultaneously than was previously possible without adding headcount or manual monitoring workflows.
· For shippers operating on high-value lanes in pharma, electronics, and food and beverage, that capability also opens freight that previously carried too much risk to bid competitively. Insurers increasingly price premiums and renewal terms based on telematics posture; customers who can demonstrate active monitoring and rapid response have a measurable advantage at renewal.
