Enterprise security review, the buyer's check of your safeguards before a contract, is cleared with audited controls, completed questionnaires, and open security documents. AI startups get through by showing SOC 2 Type II results, test evidence, and clear data-handling terms early.
Founders should treat review as part of selling, not paperwork after a yes. Buyers in health, payments, or Europe also expect controls for those data types. Preparation decides whether review takes weeks or months.
Table of Contents
- What proof do buyers expect first?
- Which questionnaires will you face?
- Why is self-reported paperwork not enough?
- How do AI data flows change the review?
- What testing and product controls shorten approval?
What proof do buyers expect first?
SOC 2 Type II is the baseline for enterprise deals. According to the AICPA, Type II examines controls over time under its Trust Services Criteria, while Type I covers only a single-day design snapshot, as described in the AICPA controls overview. Startups need the Type II report, examined by a licensed CPA.
Many AI vendors pair SOC 2 Type II with ISO 27001 for security management. Coverage expands where data requires it, including HIPAA, PCI DSS, HITRUST, and GDPR. Early-stage teams should map which rules fit their customer data.
Which questionnaires will you face?
The Shared Assessments SIG is the enterprise favorite. SIG Lite screens low-risk vendors in about 126 questions. SIG Core probes high-risk vendors in about 855 questions across 21 risk domains.
The Cloud Security Alliance CAIQ takes a different form. It is a downloadable yes-or-no spreadsheet tied to Cloud Controls Matrix controls. Providers document controls and file the result in the STAR Registry.
Why is self-reported paperwork not enough?
CAIQ answers help buyers compare vendors quickly. According to the Cloud Security Alliance, the answers are self-reported transparency rather than independent assurance, as explained in the Alliance CAIQ guide. Buyers still demand stronger proof before approval.
That proof includes SOC 2 reports, pen-test evidence, and audit logs. Treat CAIQ and SIG as disclosure, not certification. Independent testing closes the gap.
How do AI data flows change the review?
AI startups must list every model subprocessor. According to Nomic, terms should bar retention, training, or fine-tuning on customer data, as shown in the Nomic security practices. Nomic applies zero-data-retention terms to Anthropic, OpenAI, and Google Cloud Vertex.
Reviewers read these terms closely because prompts may hold sensitive data. A vague AI clause slows approval. Name the models, state the retention rule, and bind subprocessors in writing.
What testing and product controls shorten approval?
Reviews check annual third-party penetration tests. Full-scope tests often include OWASP ASVS work with source-code access.
Findings matter less than evidence that fixes were completed, usually shared as an executive summary under NDA. Product controls also count during technical review: Publish a Trust Center with SOC 2, pen-test summary, subprocessor list, DPA, retention schedule, and precompleted SIG and CAIQ. That package lets security teams start at once instead of sending follow-up requests.
- Offer SSO with MFA for access control
- Encrypt data with AES-256 at rest and TLS in transit
- Isolate customer tenants from each other
- Provide cryptographic erasure within about 30 days of termination