AI, Customer Data and Security Questions
Before enterprise buyers ask what your AI can do, they ask what it does with their data. Clear answers, admin controls and a short AI section in your security documents remove the most common blocker to AI adoption.
What do customers ask about AI and their data?
Customers ask whether their data trains any model, which AI providers process it and where, how long prompts and outputs are kept, who can see them, whether admins can turn AI off, and how you protect against AI-specific attacks. Answer all six in one short, public page, and match the answers to your contracts and provider terms.
What are the six questions and good answers?
The table lists the questions and what a clear answer covers. Write your answers from your actual provider settings and contracts, not from assumptions.
| Question | A clear answer covers |
|---|---|
| Is our data used to train models? | Whether you or your providers train on customer data, and the setting or contract that ensures it |
| Which providers process our data? | Named subprocessors, what they process and in which regions |
| How long are prompts and outputs kept? | Retention periods for logs, prompts and outputs, and how to request deletion |
| Who can see AI conversations? | Access within the customer account and within your company |
| Can admins control AI? | Workspace-level on/off, per-feature controls and audit logs |
| How do you secure AI features? | Protections against prompt injection, data leakage and excessive permissions |
What admin controls should AI features have?
Give admins control at the workspace level: turn AI on or off, choose which features are enabled, see usage and logs, and set data retention. The mock-up shows an AI settings page for a fictional product.
Keep these controls in the same place as other security settings, and include them in your admin documentation and security questionnaire answers.
Which AI security risks should you address?
The OWASP Top 10 for LLM Applications 2025 starts with prompt injection and sensitive information disclosure, and includes excessive agency and unbounded consumption. Address them in design: separate instructions from user content, filter what data the AI can retrieve per user, limit AI permissions, and cap usage. For a structured approach, see the NIST AI Risk Management Framework.
Data answers sell AI features.
Enterprise buyers rarely say no to useful AI. They say no to unclear data handling. Make the answers easy to find.
Which regulations apply?
Privacy laws such as PIPEDA in Canada and GDPR in the EU apply to personal data in AI features as elsewhere. The EU AI Act entered into force in August 2024, with obligations phasing in; transparency rules apply from August 2026 and high-risk obligations from December 2027 under the Commission’s current timeline (European Commission AI Act page). Most B2B SaaS features are not high-risk, but check. Trust design is on designing AI users can trust, provider choices on build, buy or use an API, and launch on launching an AI feature. This is general information, not legal advice.
Frequently asked questions
Is customer data used to train AI models?
It depends on your providers and settings. State your actual policy clearly, backed by provider terms and contracts.
What AI questions do enterprise buyers ask?
Training use, providers and regions, retention, access, admin controls and AI-specific security.
What admin controls should AI features have?
Workspace on/off, per-feature controls, usage visibility, logs and retention settings.
What are the main AI security risks?
Prompt injection, sensitive information disclosure, excessive permissions and unbounded usage, per OWASP.
Does the EU AI Act apply to my SaaS product?
It may, depending on your use case and customers. Transparency rules apply from August 2026; high-risk rules later.
Do privacy laws apply to AI features?
Yes. Laws such as PIPEDA and GDPR apply to personal data processed by AI features.
Sources & further reading
Standards and platform rules change. These sources let you verify the current requirements directly. All screens shown are mock-ups of fictional products.