Your AI Security Answers Need to Survive the Follow-Up
A health tech company can answer the first AI question correctly and still slow down the deal.
That is what I often see in security reviews.
The buyer asks a simple question.
“Do you use AI?”
The vendor answers yes.
Then the follow-up begins.
Where does PHI enter the AI workflow?
Is patient data used for model training?
Which third-party AI vendors support the feature?
Can users review or correct outputs?
Are AI-related logs captured?
This is where many health tech teams get caught.
The first answer may be accurate.
But the follow-up questions reveal whether the company can prove how the AI feature is governed.
Your First Answer Is Rarely Enough
Most health tech vendors know AI is coming up in security questionnaires.
So they prepare simple answers.
Yes.
No.
In progress.
Planned.
Not applicable.
Those answers may be technically true.
But a healthcare buyer will often ask for more.
A “No” answer about model training may lead to:
How do you know PHI is not used for training?
A “Yes” answer about logging may lead to:
Can you show what is logged?
An “In progress” answer may lead to:
When will it be complete?
That is where security reviews slow down.
The problem is not always the answer.
The problem is the lack of proof behind the answer.
AI Expands the Security Review
When a health tech company adds AI, the product may become stronger.
The workflow may become faster.
The buyer may see the value immediately.
But the review now has more places to look.
Prompts may contain PHI.
Outputs may contain PHI.
Logs may capture PHI.
Third-party AI vendors may process PHI.
Internal teams may use AI tools during support, implementation, or engineering.
Model behavior may change over time.
HIPAA Compliance still applies.
The buyer needs to understand how those controls apply to the AI feature.
The Weakest Answer Is the One Your Team Cannot Defend
“We don’t use PHI for training.”
That may be true.
Can you explain the guardrails you have in place?
Can you confirm the BAA covers this?
“We have audit logs.”
That may be true.
But do the logs cover AI inputs and outputs?
Who reviews them?
How long are they retained?
“We completed a risk assessment.”
That may be true.
But was it completed before or after AI was added?
Did it include third-party AI vendors?
This is where confidence has to become evidence.
What Health Tech Vendors Should Prepare
Before the next AI security review, health tech companies should be ready to explain:
What the AI feature does.
What patient data it processes.
Whether PHI is used for training.
Which vendors support the AI workflow.
Whether BAAs are in place.
How prompts, outputs, and logs are handled.
How the feature is monitored after launch.
A confident answer helps.
A supported answer moves the review forward.
What This Means for Your Next Security Review
AI is part of the buyer’s trust evaluation.
Your answer needs to match your documentation.
Your documentation needs to match how the AI feature works.
And your team needs to be able to explain both under buyer scrutiny.
That is what buyers are testing.
Before your next AI security review, pressure test your answers.
Where is the proof?
Who owns the answer?
What evidence supports it?
What gap still needs to be remediated?
If your team cannot answer those questions, the buyer will likely find the gap.
👉 If you want to know where your AI governance stands before your next buyer review, take the Health Tech AI Readiness Assessment.
-Larry | Founder & Principal CISO, Inherent Security
FAQ
What AI questions do healthcare buyers ask health tech vendors?
They often ask whether PHI enters the AI workflow, whether health data is used for model training, which vendors support the AI feature, whether prompts or outputs are retained, and what evidence supports the vendor’s answers.
Does HIPAA Compliance apply to AI products?
Yes. If an AI product creates, receives, maintains, or transmits PHI, HIPAA Compliance expectations still apply.
Why do AI security reviews slow down?
They slow down when answers are not supported by clear documentation, evidence, ownership, or product-specific detail.
What should health tech vendors prepare before an AI security review?
Prepare AI data flow documentation, vendor and BAA records, risk assessment evidence, access control documentation, logging details, and clear ownership for follow-up questions.
