Selling to Enterprise · Security Review
The champion loves your product. Then a spreadsheet with hundreds of questions arrives from their security team.
That’s the enterprise security review, where many AI-built products stall. The demo proved the product works. The review asks whether a large company can trust you with its users, its data, and its AI exposure.
An enterprise security review is the buyer’s check of your security, compliance, and data practices before they sign. AI-built apps usually get stuck on two things: enterprise basics they never built (SSO, user provisioning, audit logs) and a new AI section asking whether customer data trains models, which LLM providers touch it, and how long it’s kept. Build the basics and document your AI data flow before the questionnaire arrives.
What is an enterprise security review?
An enterprise security review is a vendor assessment that a large customer’s security team runs before buying software. It usually combines a security questionnaire (often based on standards like SIG or CAIQ), requests for evidence such as a SOC 2 report, and a review of how your product handles identity, data, and incidents.
Compliance has become a sales requirement, not a nice-to-have. In Secureframe’s 2026 survey, 61% of respondents needed compliance to win or renew a contract, and 47% said a missing certification had delayed a sale. A report alone doesn’t end the process either: 68% of buyers in a Whistic study still asked for more documentation after receiving one.
Why AI-built apps get stuck here
First, AI tools build the features users see, while enterprise buyers ask about the ones they don’t: single sign-on, automatic deprovisioning, audit logs. Legal analysts tracking 2026 procurement describe SSO, SCIM, and audit logs as the questions that show up in every questionnaire.
Second, questionnaires now include an AI section, and standard forms like SIG and CAIQ weren’t designed for it. Buyers ask whether their data trains models, which model providers sit in the data path, how long prompts are retained, and how you defend against prompt injection.
The 6 things enterprise buyers will ask for
SSO and MFA
Can our team log in through our identity provider (Okta, Entra ID, Google) with enforced multi-factor authentication?
Common gapEmail and password only, with MFA optional or missing.
User provisioning and roles
When someone leaves, is their access removed automatically? Can we assign granular roles?
Common gapUsers are added and removed by hand, and everyone is an admin.
Audit logs
Can we see who did what, and when, and export it to our security tools?
Common gapNo user-facing activity log at all.
Data protection
Is our data encrypted, isolated from other customers, and deleted when we ask?
Common gapNo deletion process, and tenant isolation that was never tested.
Compliance evidence
Do you have a SOC 2 report, written security policies, and a recent penetration test?
Common gapNothing written down. Security lives in one engineer’s head.
AI and LLM usage
Does our data train any model? Which LLM providers process it, and how long do they keep it? How do you handle prompt injection?
Common gapNobody has read the AI provider’s data terms.
Enterprise buyers don’t expect you to be perfect. They expect you to answer like you’ve already thought about it.
Not sure how your app scores on these six? Talk to a senior engineer →
How to prepare before the questionnaire arrives
| Do this | Why it matters |
|---|---|
| Build SSO and audit logs before the deal | They appear in nearly every questionnaire, and building them mid-deal adds weeks. |
| Map your AI data flow on one page | Which models, which providers, what’s retained, and whether anything trains on customer data. |
| Write a short security overview | Many security teams can start from it instead of sending their longest form. |
| Keep an answer library | Questionnaires run from 50 to 500+ questions. Reusing approved answers saves days. |
| Start SOC 2 readiness early | The audit takes months. Starting now means the report is ready when the big deal is. |
If your product was built fast with AI, also check tenant isolation before a buyer’s team does. It’s the flaw we covered in the multi-tenancy bug AI coding tools keep writing.
Find your gaps before their security team does.
Senior MagmaLabs engineers can review your AI-built product against what enterprise buyers ask and tell you plainly what to fix first. No hype, no 80-page report.
Raising too? Read Will your AI-built startup survive technical due diligence? →
Frequently asked questions
What is an enterprise security review?
It’s a vendor assessment a large customer’s security team runs before buying software. It usually includes a security questionnaire, requests for evidence like a SOC 2 report, and questions about identity, data protection, incident response, and AI usage.
Do I need SOC 2 to sell to enterprise customers?
Not always, but often. Many buyers require compliance to sign or renew, and a missing report commonly delays deals. Early on, a clear security overview, written policies, and strong answers can carry a deal while your SOC 2 audit is in progress.
What AI questions are in security questionnaires now?
The most common ask whether customer data is used to train models, which LLM providers process the data, how long prompts and outputs are retained, whether zero-data-retention terms are in place, and how the product defends against prompt injection.
How long does an enterprise security review take?
It varies by buyer, but reviews often add weeks to a sales cycle. A single questionnaire can take many hours to complete, so teams that prepare answers in advance move through it much faster.