The security questionnaire has become the real gate on enterprise logistics deals. Not the demo, not the pilot results — the moment a shipper's information security team receives notice that a vendor is processing their shipment data with AI, a review process starts that can take longer than the entire sales cycle preceding it.

This affects two audiences at once. If you are buying an agent platform, these are the questions to ask before you commit. If you are a 3PL or broker deploying one, these are the questions your enterprise customers will ask you — and "our vendor handles that" is not a sufficient answer when your name is on the contract.

Only about 21% of organizations have a mature governance model for autonomous agents, which means most teams are assembling these answers under deadline pressure rather than in advance.

The 14 questions

Data handling

1. Where is our data processed and stored, geographically? Data residency requirements are increasingly contractual, and "in the cloud" is not an answer.
2. How long is data retained, and can we set the period? Including message content, extracted fields and logs, which often have different defaults.
3. Is our data used to train models? The expected answer for enterprise agreements is no, and it should be contractual rather than a policy statement.
4. What subprocessors are involved? Model providers, infrastructure, any third-party enrichment. This list needs to be current and change-notified.
5. How is data segregated between customers? Logical or physical, and what prevents cross-tenant leakage.

Access and identity

1. Who at the vendor can see our data, under what circumstances? Support access is the common gap, and the answer should involve approval and logging rather than standing access.
2. How is authentication handled, and is SSO supported?
3. What happens to our data at contract termination? Deletion timeline, and evidence of it.

Agent-specific

1. What actions can the agent take, and is that scoped per workflow or globally? The single most important agent question, because capability determines blast radius.
2. Which actions require human approval, and is that enforced in software or by policy? Policy is advisory; software is a control.
3. How is inbound content prevented from being interpreted as instructions? If the answer is "the model is trained not to do that," it is not a control.
4. What is logged per action, and can a specific decision be reconstructed? This is what your own customers will eventually ask you.

Operational

1. What is the incident response process and notification timeline?
2. What certifications are held — SOC 2 Type II, ISO 27001 — and when was the last audit?

What makes agent reviews different

Traditional vendor security review assumes software that stores and retrieves data. An agent reads external content and takes actions, which introduces two categories that standard questionnaires often miss.

• Data at rest — Traditional SaaS: Standard controls · AI agent: Same
• Data in transit — Traditional SaaS: Standard controls · AI agent: Same
• Untrusted input handling — Traditional SaaS: Input validation · AI agent: Content may contain instructions
• Autonomous action — Traditional SaaS: N/A · AI agent: Requires capability scoping
• Decision reconstruction — Traditional SaaS: Application logs · AI agent: Needs reasoning and rule trail
• Model provider as subprocessor — Traditional SaaS: N/A · AI agent: Must be disclosed

Rows three through six are where unprepared vendors struggle, and where a good answer is genuinely differentiating. A vendor who has thought carefully about capability scoping and audit trails will answer them crisply. One who has not will send you a generic SOC 2 report and hope.

How do you pass a security review for an AI agent deployment?

You pass by having capability scoping, approval enforcement and audit logging designed in rather than retrofitted — able to state exactly what the agent can do per workflow, which actions require a human, what is logged per action, and which subprocessors touch the data. Reviews fail on vagueness far more often than on inadequate controls.

Two practical points:

Prepare the answers before the questionnaire. Every deal will ask substantially the same fourteen things. Assembling them once, keeping them current, and having them reviewed by someone who understands both the architecture and the contract turns a multi-week blocker into a same-day response.

Do not overstate. Security teams verify. A claimed control that does not survive scrutiny costs more credibility than an honestly disclosed gap with a remediation plan.

The governance answer sits underneath all of it

Most of these questions are answerable only if the underlying governance work has been done. Capability scoping, enforced approval boundaries and complete action logging are not security artifacts bolted on for the review — they are the same governance model that makes the agent safe to run at all.

Teams who did that work answer the questionnaire from documentation they already have. Teams who deployed first and governed later discover during the review that they cannot describe their own system precisely — which is the actual failure mode, and it is a design problem rather than a paperwork problem.

The audit trail is the load-bearing piece. Questions 12 and 13 both depend on it, and there is no way to retrofit a log of decisions that were never recorded.

For 3PLs and brokers: you are the vendor now

If you deploy agents on customer communications, your enterprise shippers will run you through this process. Their questions will be about your operation, not your vendor's.

That means you need to be able to answer, in your own voice: what your agent is permitted to do with their data, which decisions involve a human, what you log, and how you would reconstruct a specific communication if they disputed it.

Being able to answer that well is increasingly a commercial advantage rather than a compliance burden — it is the difference between automation reading as a risk and reading as operational maturity, and it belongs alongside the rest of your vendor evaluation criteria when you select a platform.

Frequently asked questions

Is SOC 2 Type II required to sell AI agents to enterprise logistics customers? It is not universally mandatory but is commonly expected, and its absence generally extends the review substantially. Type II matters more than Type I because it evidences controls operating over time.

Should we allow our data to be used for model training? For operational and customer data, no. Enterprise agreements should exclude it contractually rather than relying on a policy that can change.

How long does a typical enterprise security review take? Weeks, and it varies enormously with how quickly the vendor answers. Prepared documentation is the largest controllable factor.

What if we cannot answer one of the fourteen? Say so and state the remediation plan. Security teams handle disclosed gaps routinely. What damages a review is a confident answer that turns out to be wrong.

The bottom line

Enterprise shippers now review AI agent deployments the way they review any system processing their data — with the added scrutiny of a system that takes autonomous action on untrusted input.

Know your capability scoping, your approval enforcement, your logging and your subprocessors before the questionnaire arrives. And if you are a broker or 3PL deploying agents, prepare to answer all fourteen in your own name, not your vendor's.

Debales deploys AI agents for freight quoting, order processing, ETA updates, and multi-channel customer communication — with per-workflow capability scoping, enforced approval boundaries and full action logging designed in from the start. Book a demo.