How should a SaaS firm explain data retention to an insurance professional?

Short answer

State which categories are kept, why and for how long in normal operation. Explain deletion exceptions and backups at a high level; avoid claiming zero retention when logs or vendors retain data.

An illustrative example

A product deletes uploads but keeps troubleshooting traces.

This is a hypothetical situation, not a real customer outcome or a coverage determination.

Three facts to prepare

• Retention categories
• Vendor retention
• Deletion process

Use a brief, accurate summary. Separate confirmed facts from assumptions; keep passwords, identity numbers, private customer records and confidential documents out of an initial marketplace request.

A question to bring to the right professional

Which retained data categories matter to the risk review?

Begin with the service a customer buys and the consequence of failure. Separate a provider's own work from third-party components, internal AI use and customer-configured actions. A concise service map helps a professional examine actual forms; it does not establish available coverage.

Sources and scope

• Travelers: technology errors and omissions risk examples

  Insurer-authored context on technology service allegations and differences in policy wording. Product descriptions apply to that source; they are not LunarQuote offers or evidence of a partnership.

• NAIC: cybersecurity and insurance

  General commercial cyber context; the NAIC describes cyber policies as customized. This source does not decide coverage for an AI scenario.

Sources supply the stated background, not a determination about the illustrative case. The example, checklist and discussion prompt are LunarQuote educational material. Source links checked October 5, 2026.