AI Agents in Supply Chain and Logistics: Security Guide

Supply chain and logistics teams are letting AI agents place replenishment orders, tender loads to carriers, answer shipment enquiries and process trade documents, which means an agent can now move goods and money between companies that have never met. These agents sit on the busiest trust boundary in most businesses: thousands of trading partners, carriers and brokers exchanging documents, emails and API calls, much of it untrusted and some of it fraudulent. This guide covers the main kinds of supply chain agent, the partner credentials and integrations they depend on, the fraud and manipulation patterns that target them, and the controls, rollout steps and metrics that keep them safe. It is written for supply chain and logistics IT leads, security architects and fraud teams in shippers, carriers, freight brokers and third-party logistics providers. Sector security basics are in the Cybersecurity for Logistics and Shipping Guide, and purchasing agents are covered in the AI Agents in Procurement Guide; this page stays on planning, logistics execution and customer-facing logistics agents.

Key takeaways

Agents act across company boundaries. A logistics agent's instructions often arrive from partners, carriers and customers, so most of its input is untrusted by default.
Partner credentials are the crown jewels. EDI and AS2 certificates, carrier API keys, load board and portal logins let an agent commit the business; scope and store them as non-human identities.
Freight fraud targets automation. Impersonated carriers, misused USDOT numbers and fake insurance certificates are easier to slip past an agent that books loads at speed than past an experienced broker.
Money and master data changes need deterministic checks. Bank details, carrier identity, sanctions screening and order quantities above limits should never rest on a model's judgement.
Customer-facing agents speak for you. A tribunal held an airline liable for what its chatbot said, and a parcel firm's bot embarrassed it after an update; test and control them like production systems.

Where agents are used in supply chain and logistics

Agent	Typical actions	Systems and credentials	Main risk
Planning and replenishment agent	Forecasts demand, proposes or creates purchase orders and stock transfers	ERP and planning system service account with order creation rights	Runaway or manipulated orders at scale; poisoned demand signals
Freight procurement and tendering agent	Posts loads, vets and books carriers, negotiates rates, sends rate confirmations	Transport management system, load boards, carrier portals, email	Booking fraudulent or impersonated carriers; rate manipulation
Exception and visibility agent	Tracks shipments, reroutes, rebooks, notifies customers about delays	Carrier tracking APIs, TMS, warehouse management system, messaging	Diversion of goods through a forged reroute or delivery change
Trade and document agent	Reads commercial invoices, packing lists and bills of lading, prepares customs data, screens parties	Document intake, customs and trade compliance systems	Injected instructions in documents; sanctions screening bypassed
Customer-facing logistics agent	Answers tracking questions, changes delivery options, handles claims	Tracking and customer databases, delivery management	Wrong commitments, delivery redirection by impostors, reputational harm

OWASP's Top 10 for LLM Applications 2025 names the root cause shared by all of these as Excessive Agency (LLM06): excessive functionality, excessive permissions or excessive autonomy. In logistics each of those translates to goods or money moving. See the Agentic AI Security Guide.

Partner integrations and the identities behind them

Logistics runs on machine-to-machine trust that predates AI. Agents plug into it, and inherit its credentials.

EDI over AS2: RFC 4130 (Standards Track, July 2005) defines AS2, which signs and encrypts business documents with S/MIME and returns a signed Message Disposition Notification containing a message integrity check, so the sender can prove receipt. Trading partners exchange X.509 certificates when they set up the relationship. If an agent generates or sends EDI, the AS2 private key effectively becomes its signature: keep it in the integration platform, never in the agent's environment, and let the agent submit documents for the platform to sign.
Carrier and visibility APIs: usually API keys or OAuth client credentials issued per account. Give each agent its own credentials where the partner allows, record which partner issued them, and rotate them when staff or agents change.
Load boards and carrier portals: often a human login reused by automation. Move to API access where offered; where not, create a dedicated account for the agent with MFA handled by the platform's supported automation route, and never share a broker's personal login with an agent.
ERP and WMS service accounts: separate read (forecasting, visibility) from write (orders, transfers, master data). Order creation rights should carry value and quantity limits enforced by the ERP, not by the agent's prompt.
Email and messaging: many tenders, confirmations and reroutes still arrive by email. An agent with mailbox access reads every partner's message as input and may be able to send as the company. See the AI Agent Email Access Security guide.

Inventory these credentials with an owner, the partner, the systems reached and the rotation date. See the AI Agent Credential Lifecycle and Rotation Guide.

Fraud and manipulation patterns

The US Federal Motor Carrier Safety Administration describes broker and carrier fraud that includes use of another carrier's USDOT number without authorisation, unregistered brokering, fraudulently brokered loads, requests to operate under a different name, "blind loads", fraudulent insurance certificates and fake online profiles. It advises verifying phone numbers through SAFER's Company Snapshot and calling the listed number when it differs, confirming details on more than one site, and stopping when a rate is far above market. An agent that books carriers must apply those checks every time, because speed is exactly what fraudsters exploit.

Pattern	How it reaches an agent	Control	Mapping
Carrier impersonation	Fake carrier using a real USDOT number bids on a load posted by a tendering agent	Deterministic carrier vetting against official registries and an approved carrier list; callback to the registered number for new carriers	ATT&CK T1657; SP 800-53 SR-6
Bank detail change	Email from a "carrier" or supplier asks the agent to update remittance details	Agents cannot change payment master data; out-of-band verification by finance	ATT&CK T1657; SP 800-53 AC-3
Indirect prompt injection in documents	Instructions hidden in a PDF invoice, bill of lading or partner email	Treat documents as data; strip or isolate instructions; no outbound or write tools in the same session without approval	ATLAS AML.T0051.001; SP 800-53 SI-10
Delivery redirection	Impostor asks a customer-facing agent to change the delivery address or release goods to a different driver	Address and release changes need the verified consignee and a code sent to a channel on record	SP 800-53 IA-8
Poisoned demand signals	Manipulated orders or forecasts push a replenishment agent into large unnecessary purchases	Quantity and value limits in the ERP, anomaly checks against history, approval above thresholds	ATT&CK T1565.001; ATLAS AML.T0053
Compromised partner mailbox	A real partner account sends genuine-looking reroute or payment instructions	Same verification for internal and partner-originated changes; alerts on changed sender patterns	ATT&CK T1586.002, T1534

See the Invoice Redirection and Supplier Bank Detail Fraud Guide and the Prompt Injection Guide.

Customer-facing logistics agents

Two incidents frame the risk. In the Air Canada chatbot ruling, the British Columbia Civil Resolution Tribunal in February 2024 found the airline liable for negligent misrepresentation after its chatbot gave a wrong bereavement fare policy, rejecting the argument that the airline was not responsible for its chatbot. In the DPD chatbot incident of January 2024, a parcel firm's chat assistant swore and criticised the company on request after what DPD said was an error following a system update, and DPD disabled the AI element. Neither was a data breach; both are what happens when a logistics customer agent is not scoped, tested and owned.

Approved sources: answers about claims, liability, refunds and delivery commitments come from a rules engine or approved policy text, not free generation.
Change control: every model, prompt or configuration update is tested with off-task and abusive prompts before release, with rollback ready.
Identity before action: tracking information for anonymous users is limited; address changes, release to a third party and claims need the verified consignee.
Route to a human: unresolved queries and anything involving money escalate.

See the Customer Service AI Agents Security guide.

Regulation that touches logistics agents

Rule	Scope	Relevance to agents
US Coast Guard, Cybersecurity in the Marine Transportation System (final rule, Federal Register 17 January 2025)	US-flagged vessels and regulated facilities and outer continental shelf facilities	Effective 16 July 2025; account security measures include MFA on password-protected IT and remotely accessible OT systems, least privilege for privileged accounts and protected logs. Agents reaching terminal or vessel systems fall under these account rules. The rule sought comment on delaying implementation for US-flagged vessels, so confirm current dates with the Coast Guard
EU NIS2 Directive	Transport (air, rail, water, road) as a sector of high criticality; postal and courier services as another critical sector	Supply chain security and access control obligations apply to agent identities and to AI vendors as suppliers. See the NIS2 Supply Chain Security Guide
FMCSA broker and carrier fraud guidance (US)	Brokers, carriers and shippers	Verification and reporting practices a tendering agent should implement and log

See also the Ports and Logistics Cybersecurity Guide for terminal and port community systems.

How to roll out a supply chain agent

Map the action: for each agent, list every action that moves goods, money or master data, and every partner whose input it reads.
Set hard limits in the system of record: order value and quantity caps, approved carrier and supplier lists, blocked fields (bank details, carrier identity, sanctions status) enforced by the ERP, TMS or payment system.
Create dedicated identities: one per agent and environment, partner credentials issued to the agent and stored in a secrets manager, signing keys kept in the integration platform.
Shadow mode: the agent recommends tenders, orders and reroutes; planners and brokers act. Compare outcomes for at least one full order cycle.
Approval mode: the agent prepares, a human approves above thresholds or for any new partner. Track override and error rates.
Bounded autonomy: unattended actions only for approved partners, within limits, reversible within the order or booking window.
Rollback: know how to suspend the agent, revoke its partner credentials, cancel open tenders and reverse orders it created. See the AI Agent Kill Switch and Containment Guide.

Decision guidance

Decision	Safer choice	Trade-off
Let the agent book new carriers or only approved ones?	Approved list for unattended booking; new carriers go to a human	Slower capacity sourcing at peak
Agent reads email and sends rate confirmations?	Split into a reading agent and a sending step with approval	More latency, much smaller injection risk
Agent writes POs directly or proposes them?	Writes within ERP-enforced limits; proposes above them	Planners still review large or unusual orders
Same agent for customers and internal operations?	Separate agents and identities	Two deployments to maintain

Smaller shippers and brokers rarely run a SIEM: use the TMS and ERP limits, keep new-carrier booking manual, and review agent actions weekly. Large 3PLs and manufacturers should run an agent register covering partner credentials, forward agent actions to central logging and include agents in quarterly access reviews. See the AI Agent Action Approvals and Spending Limits Guide.

Detection and measurement

Log every agent action with its identity, the partner involved, the input that triggered it and any approval. Alert on bookings with carriers not on the approved list, changes to delivery addresses or release instructions shortly before collection, orders outside historical ranges, agent attempts to edit payment or carrier master data, and partner credentials used from unexpected locations.

Metrics

Agent bookings with carriers that passed registry vetting: target 100%.
Payment or master data changes initiated by agents: target zero; all routed to finance verification.
Agent-created orders above threshold with recorded approval: target 100%.
Partner credentials held by agents with an owner and rotation date: target 100%.
Customer agent releases tested before go-live: 100% of model, prompt and configuration changes.

Framework mapping

Area	NIST CSF 2.0	NIST SP 800-53 Rev. 5
Partner and carrier vetting, supplier risk	GV.SC-05, GV.SC-07	SR-3, SR-6, SA-9
Agent identities and partner credentials	PR.AA-05	AC-2, AC-6, IA-5
Limits enforced by systems of record	PR.AA-05	AC-3
Untrusted document and email input	PR.PS-06	SI-10
Monitoring agent actions	DE.CM-03	AU-2, AU-6, CA-7

Common failure patterns

Vetting in the prompt: telling the agent to "check the carrier is legitimate" instead of calling a vetting service it cannot skip.
A broker's personal portal login reused by the agent: no separate audit trail and no way to revoke the agent without locking out the person.
Mailbox agents with send rights: one injected email can produce a rate confirmation, a reroute or a payment instruction.
Limits only in instructions: order caps written into the system prompt rather than enforced by the ERP.
Untested customer bot updates: the DPD pattern, where a routine change produces public misbehaviour.
Signing keys in the agent environment: AS2 or API signing keys copied into an agent's configuration so it can "send directly".

Practitioner checklist

List every logistics agent with the actions it can take on goods, money and master data.
Enforce order, booking and value limits in the ERP, TMS and payment systems, not in prompts.
Vet carriers deterministically against official registries and an approved list before any agent booking.
Block agents from changing bank details, carrier identity or sanctions status.
Issue dedicated partner credentials to each agent, store them in a secrets manager, and keep signing keys in the integration platform.
Treat documents and partner emails as untrusted input and separate reading from sending.
Require the verified consignee and a channel on record for delivery changes and releases.
Test customer-facing agents after every change and keep a route to a human.
Log agent actions with partner and trigger, and alert on unapproved carriers and late delivery changes.
Rehearse suspending an agent and unwinding its open tenders and orders.

AI Agents in Supply Chain and Logistics Guide: Securing Planning, Freight and Order Agents