AI Vendor Security Evaluation: A Practical Guide

This guide walks you through a structured process for evaluating an AI vendor’s security practices before you commit to their product. You’ll learn what documents to request, what red flags to look for, and how to verify claims—so you can make an informed decision that protects your data and your organization.

What You’ll Need

• A clear understanding of your own security requirements (data sensitivity, compliance needs, etc.)
• The vendor’s security documentation (or a list of questions to send them)
• Access to a security professional or someone with technical knowledge in your organization, if possible
• A checklist or spreadsheet to track your findings

Step-by-Step

1. Identify your data and compliance requirements. Before you talk to any vendor, know what types of data you’ll be processing (e.g., personal, financial, health) and what regulations apply (GDPR, HIPAA, SOC 2, etc.). This defines what you need to ask for.
2. Request the vendor’s security documentation. Ask for their SOC 2 Type II report, ISO 27001 certificate, and any other relevant compliance attestations. A reputable vendor will provide these under NDA without much fuss. If they hesitate or refuse, that’s a major red flag.
3. Review their data handling and privacy policy. Check how they collect, store, process, and delete data. Look for specifics on data residency, encryption at rest and in transit, and whether they train their models on your data (and if you can opt out).
4. Examine their encryption practices. Confirm that they use strong encryption standards (e.g., AES-256 for data at rest, TLS 1.2+ for data in transit). Ask for details on key management—who holds the keys, and can you bring your own key (BYOK)?
5. Check their access controls and authentication. Ask about role-based access control (RBAC), multi-factor authentication (MFA) for admin accounts, and how they manage employee access to customer data. Also ask about their internal security training and background checks for staff.
6. Ask about their incident response and breach notification process. Find out how they detect and respond to security incidents, and what their timeline is for notifying customers. Look for a clear, documented process, not just vague promises.
7. Evaluate their third-party vendor risk. Ask about their own vendors and subprocessors, and whether they have a formal vendor risk management program. This helps you understand if your data could be exposed through their supply chain.
8. Test their security features (if possible). If you have a trial or demo environment, try out their security features—like audit logs, data export, and deletion. See if they work as described and are easy to use.
9. Ask about model security and adversarial robustness. For AI vendors specifically, ask how they protect against prompt injection, data poisoning, and model extraction. Do they have a red teaming process? How do they handle vulnerabilities in the model itself?
10. Review their compliance with relevant standards. Beyond SOC 2 and ISO 27001, check if they comply with industry-specific standards like HIPAA for healthcare, or PCI DSS if you’ll handle card data. Ask for evidence of compliance, not just claims.
11. Check their business continuity and disaster recovery plans. Ask about their uptime guarantees, backup procedures, and how they ensure data availability in case of an outage. A vendor with a solid BC/DR plan is more likely to keep your data safe.
12. Conduct a security questionnaire. If you have a standard vendor security questionnaire (like the SIG or CAIQ), send it to them. If not, create your own based on the points above. Their responses will give you a consistent basis for comparison across vendors.
13. Verify their claims. Don’t just take their word for it. Check if they have any publicly disclosed breaches, search for independent audits or reviews, and consider asking for a reference from an existing customer.
14. Document your findings and compare. Score each vendor against your requirements. Make notes on any gaps or concerns. This will help you make an objective decision at the end.
15. Negotiate security terms in the contract. Ensure that security commitments are written into the contract, including data processing terms, breach notification timelines, and your rights to audit or terminate.

Common Mistakes

• Relying solely on marketing materials. A vendor’s website may claim “bank-level security” without any evidence. Always ask for actual reports and certifications.
• Ignoring data residency requirements. If your data must stay within a certain country, make sure the vendor can guarantee that. Don’t assume they store data in your region.
• Not checking if they train on your data. Some AI vendors use customer data to improve their models. This can be a privacy issue, so always ask and get it in writing if you need to opt out.
• Overlooking the human factor. Even the best technical controls fail if employees are careless. Ask about their security training and internal policies.
• Assuming a SOC 2 report is enough. SOC 2 Type II is a good baseline, but it doesn’t cover everything—like model security or specific data handling practices. Use it as a starting point, not the final word.

Tips

• Start with a pre-defined checklist to keep you organized and consistent across multiple vendors.
• Involve your legal and procurement teams early, so they can help you interpret security terms and negotiate contracts.
• Ask for a copy of their security whitepaper or shared responsibility model—this clarifies who is responsible for what.
• If you’re not a security expert, consider hiring a third-party consultant to help with the evaluation, especially for high-risk deployments.
• Keep records of all communications and documents—this can be useful if a dispute arises later.

Troubleshooting

What if the vendor refuses to share their SOC 2 report? This is a red flag. Ask them to explain why. If they cite confidentiality, offer to sign an NDA. If they still refuse, consider it a deal-breaker for any serious data processing.

What if their security documentation is vague or incomplete? Push for specifics. Ask for concrete examples of their encryption standards, incident response times, and compliance certifications. If they can’t provide details, it may indicate a lack of mature security practices.

What if you find a discrepancy between their claims and their actual practices? Document the discrepancy and raise it with the vendor. If they don’t address it satisfactorily, factor that into your decision. It could be a sign of deeper issues.

What if you don’t have internal security expertise? Consider hiring an external consultant to help you evaluate the vendor. They can interpret technical jargon and identify risks you might miss.

What if the vendor is a small startup with limited security resources? That doesn’t automatically disqualify them, but you’ll need to do more due diligence. Ask about their security roadmap and any third-party audits they’ve undergone.

Frequently Asked Questions

Q: What is the most important security certification to look for?
A: SOC 2 Type II is the most common baseline for SaaS vendors, but ISO 27001 is also valuable. The best choice depends on your industry and specific needs.

Q: How often should I re-evaluate a vendor’s security?
A: At least annually, or whenever there’s a major change in your data handling or the vendor’s infrastructure. Also, review their security reports regularly (e.g., new SOC 2 reports are typically issued annually).

Q: Can I trust a vendor that has had a security breach in the past?
A: Not necessarily. What matters is how they responded. Did they disclose it promptly, fix the root cause, and improve their security? If so, they might be more mature than a vendor that has never been tested.

Q: What is a shared responsibility model?
A: It’s a document that outlines which security aspects the vendor handles (e.g., infrastructure, physical security) and which are your responsibility (e.g., user access, data classification). Always review it to understand your obligations.

Q: How do I evaluate the security of the AI model itself?
A: Ask about their model security practices: how they protect against adversarial attacks, whether they have a red teaming process, and how they handle model updates and vulnerabilities. Also, check if they have any third-party security assessments of their models.

Q: What should I do if the vendor doesn’t meet all my security requirements?
A: You have a few options: negotiate to see if they can meet your needs, accept the risk if it’s low for your use case, or choose a different vendor. Never compromise on critical requirements like data encryption or breach notification.

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