Enterprise AI Security Questionnaires: What's In Them and How to Auto-Answer

TL;DR

• The three questionnaires most enterprises now send (SIG-Lite, HECVAT, CAIQ) each added 30-80 AI-specific questions during 2026
• Twelve questions appear in roughly 90% of AI-focused vendor reviews — knowing them cold accelerates every deal
• The right answer format is short, specific, and links to an artifact (policy, DPA, log spec, impact assessment) — not marketing prose
• Building a reusable answer library once means the next questionnaire takes 30 minutes instead of two days
• Some buyers now accept a Trust Center link plus a completed AI-BOM in place of an answered questionnaire — worth offering upfront

Every AI startup goes through the same cycle. First few enterprise deals: someone fills out a 100-question SIG spreadsheet by hand. By deal #10, they've pasted the same answers into three different questionnaire formats and lost an entire week. By deal #20, they build an answer library or their sales cycle stops scaling. This guide compresses that learning curve.

The Three Questionnaires That Grew AI Sections

Three formats dominate enterprise vendor review, and each of them added an AI section during 2026:

SIG-Lite (Shared Assessments)

The default questionnaire for financial services and Fortune 500 procurement. SIG-Lite added an AI addendum with roughly 40 questions covering model provenance, training data governance, and automated decision-making.

Format: Excel workbook, one tab per domain.

HECVAT (Higher Education Community Vendor Assessment Tool)

The default for universities and research institutions. HECVAT added an AI supplement focused on academic integrity, research data governance, and bias in student-facing tools.

Format: Excel, with a scoring rubric that grades your responses.

CAIQ (Cloud Security Alliance)

The default for cloud-native buyers. The CSA released an AI extension — questions on model lineage, agent authorization, and RAG data flows fold into the existing control domains.

Format: Excel; often pre-populated by the buyer from their CCM (Cloud Controls Matrix).

Regulated buyers (healthcare, government) often send additional custom questionnaires on top — a NIST AI RMF checklist, or their own internal AI vendor questionnaire. Same underlying questions, different labels.

The 12 Questions That Appear Almost Every Time

After enough deals, the pattern is clear. These twelve questions — sometimes phrased slightly differently — show up in roughly 90% of AI-focused vendor reviews. If you have crisp, artifact-linked answers to these, you're past the first pass.

Describe your AI systems in scope for this engagement — models, providers, and data flows.

Answer pattern: Link to your AI-BOM. One page. Every model listed with provider, region, purpose, and data class.

What customer data leaves your environment when the AI system processes a request?

Answer pattern: Explicit data-flow diagram: user input → your backend → third-party LLM (name + region) → response. Call out anything logged externally.

Do you use customer data to train or fine-tune models?

Answer pattern: Almost always the answer is "no" — but you must show the contract or config that enforces it (zero-retention addendum, opt-out setting, or self-hosted infra proof).

What contract terms are in place with your model providers?

Answer pattern: DPA on file, sub-processor list, zero-retention or short-retention addendum, region commitment.

How do you prevent prompt injection and jailbreaks?

Answer pattern: Input validation, allow-listed tool calls, rate limiting per tenant, output filtering, red-team schedule. Link the runbook.

Do you log prompts and model responses? For how long?

Answer pattern: Yes / no, retention period, access controls, PII scrubbing. Link the log spec.

How do you monitor for anomalous model behavior?

Answer pattern: Alerting rules (token spikes, refusal-rate drops, jailbreak-pattern matches), sample alert, on-call escalation.

Is there human oversight for automated decisions?

Answer pattern: For decisions above your impact threshold, yes. Describe the trigger, the reviewer role, and the artifact of the human decision.

How do you assess and manage bias in your AI systems?

Answer pattern: Reference your AI Impact Assessment procedure. Include a sample completed assessment for one system.

How do you communicate to end users that AI is in use?

Answer pattern: Point to the in-product disclosure, ToS language, and the mechanism to contest an AI-driven decision.

Can we access the models offline / are you dependent on third-party providers?

Answer pattern: Answer honestly. If you use OpenAI/Anthropic/Google, describe fallback plans and contract terms around service continuity.

Do you have SOC 2 or ISO 42001 (or both)?

Answer pattern: Report on file. If ISO 42001 is in progress, share the certification-in-progress letter with a target date.

Building a Reusable Answer Library

One good answer, once, that ships to every future questionnaire. That's the goal. The mechanics matter less than the discipline; here's the workflow that scales.

Extract questions from every questionnaire that comes in

Copy the exact question text into your library, tagged with source (SIG-Lite AI, HECVAT AI, custom).

Normalize to canonical questions

The same intent phrased three ways still counts as one canonical question. Maintain a mapping.

Write one artifact-linked answer per canonical question

"Yes, our zero-retention addendum with OpenAI is on file [link to Trust Center]" — not "Yes, we take data protection seriously."

Set a review cadence

Quarterly. Roll the answer library forward when policies, sub-processors, or infrastructure change.

Grant sales team access — under review

Sales team should not free-form the answers. They pick from the library. Anything not in the library goes to a compliance reviewer.

Publish the top 20 to your Trust Center

A lot of buyers will read the Trust Center and skip the questionnaire entirely. That's the win state.

When a Buyer Wants Documentation Instead of Answers

Sophisticated procurement teams — the ones you actually want as customers — will often accept a well-organized Trust Center in place of a questionnaire. Offer this upfront:

• Your latest SOC 2 Type 2 report (NDA-gated)
• ISO 27001 certificate (or in-progress letter)
• ISO 42001 certificate (or in-progress letter)
• AI-BOM as a downloadable PDF
• Sub-processor list with links to each provider's SOC 2
• Security policies pack (Information Security, AI, Data Governance, Incident Response)
• Answers to the top 20 recurring questions, published publicly

When you can offer this, the follow-up questionnaire is usually a 15-question custom sheet — not the 150-question SIG-Lite. That's the difference between an evening's work and a week's work.

How LowerPlane Cuts Questionnaire Time by 80%

→Answer library seeded with hundreds of canonical questions and vetted answers for AI, SOC 2, ISO 27001, ISO 42001, HIPAA
→Auto-fill for SIG-Lite, HECVAT, CAIQ, and custom formats — no more spreadsheet copy-paste
→Trust Center with your AI-BOM, sub-processor list, and top questions published — buyer serves themselves
→Answer approval workflow so sales can't promise things compliance hasn't signed off on
→Quarterly review reminders so your library never goes stale

See the Answer Library in Action