AxiSentinel extends continuous AI compliance evaluation to shipowners and operators, ports and terminals, freight forwarders, customs brokers, warehouse operators and last-mile carriers: the AI that keeps watch on the bridge, plans the voyage and reports the emissions, moves the crane, scores the container for risk, paces the warehouse shift and routes the delivery van, evaluated against the IMO, class, cyber, emissions, customs, workforce and AI rules of every flag, port and market the cargo passes through.
Ships, ports and logistics networks have handed more and more decisions to software: the route, the speed, the crane move, the container held for inspection, the pace of the warehouse shift. Until recently none of it was regulated as AI. Between 2024 and 2027, autonomy, cyber, emissions, customs, workforce and AI rules all arrive on the same fleets and terminals.
Bridge, terminal, routing and warehouse vendors each report on their own systems. No one evaluates the whole stack, across every flag, port and market the cargo passes through, with evidence a flag state, a regulator, an insurer or a court would accept.
Maritime and logistics AI sits under IMO and class rules, cyber law, climate law, customs law, workforce law and AI-specific law, in every jurisdiction a ship calls at or a shipment crosses. AxiSentinel tracks every layer and builds RegDef packages the moment a rule is stable enough to evaluate against.
The first horizontal AI law, applying in phases to the AI a carrier, port, forwarder or warehouse deploys toward customers, workers or infrastructure in the EU.
Adopted at the IMO Maritime Safety Committee’s 111th session in May 2026 and applying from 1 Jul 2026, a goal-based code for cargo ships covered by SOLAS.
Cyber risk is part of the ship’s safety management system, and class rules now set cyber-resilience requirements for the ship and its equipment.
In force since 16 Jul 2025 for US-flagged vessels, Outer Continental Shelf facilities and port facilities regulated under the Maritime Transportation Security Act.
Transport is a sector of high criticality, and water transport companies, ports and vessel traffic services are named in Annex I.
Two climate laws that turn fuel, voyage and emissions data into money, and the AI models that produce or optimise that data into compliance systems.
Customs is moving from paper declarations to data-driven risk analysis, and freight documents are going digital.
Algorithmic management of drivers, riders and warehouse staff is now regulated on both sides of the Atlantic.
Class societies are writing the technical assurance rules that flag states and insurers lean on for AI-enabled and autonomous functions.
Two of the region’s major shipbuilding, port and manufacturing-export economies now have comprehensive AI laws.
General-purpose AI risk-management frameworks that already apply to every AI component in a fleet, terminal or logistics stack.
From a single vessel’s collision-avoidance system to a global carrier’s full fleet, terminal and warehouse stack, AxiSentinel evaluates maritime and logistics AI against whichever rule actually applies, wherever the ship, the cargo and the data sit.
Nothing about AxiSentinel’s core architecture changes for maritime and logistics. What changes is which RegDef packages are switched on and what telemetry the agents capture, from a ship’s bridge to a terminal crane to a warehouse floor.
Agents capture bridge, engine-room, terminal-automation, customs-screening and warehouse-system telemetry on the cadence you configure, Always On or scheduled, never limited to a periodic audit cycle.
Every navigation recommendation, risk score, routing decision and workforce action evaluated against whichever IMO, cyber, emissions, customs, workforce or AI rule set actually applies, per event.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, the kind of record an operator needs to show what the AI saw and decided before an incident.
Captures each autonomous or remote function’s inputs, recommendations and human interventions, so an operator can show how the ship was controlled and who could intervene.
Traces the fuel, voyage and emissions figures that AI models produce or optimise back to their data sources and model versions, before they reach a verifier.
Ongoing evaluation of customs-risk, fraud, pick-rate and dispatch models for error-rate skew across shippers, lanes and worker groups.
Detection coverage and incident-handling evidence for shipboard and terminal OT, mapped to the Coast Guard cyber rule, NIS2 and class cyber-resilience requirements.
A compliance-state change on one vessel, terminal or warehouse propagates fleet-wide and network-wide as it happens.
AXI-Node agents deploy aboard vessels, inside terminal OT networks, in cloud logistics platforms and in-region environments, or fully air-gapped through the .axibatch format for ships with limited connectivity.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it, not for a collision-avoidance model and not for a customs risk score.
Evidence generated and stored where the flag state, port state or customs authority expects it, to satisfy GDPR and every other regime a global carrier or forwarder operates under.
The same architecture monitoring a bank’s credit model or a hospital’s diagnostic AI now monitors a collision-avoidance system or a terminal crane. What changes is which RegDef packages are switched on.
Shipping already depends on class, flag and verifier assurance, and the AI now running ships, ports and warehouses is arriving under autonomy, cyber, emissions and AI rules in the same few years. AxiSentinel’s architecture already does this for software AI; maritime and logistics is a new RegDef surface on the same platform, not a new product.
Whether it’s a single vessel’s navigation AI or a global carrier’s full fleet, terminal and warehouse stack, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, Always On or scheduled, with full evidence, and with a human signature before anything counts as a finding.
