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Insurance & Risk

AI Insurance Gap Mapper

Map AI use cases to possible cyber, E&O, D&O, media, crime, product liability, EPL, technology E&O, and silent-AI insurance gaps.

Market context

Local note: Use this as a general insurance workflow and verify local rules, policy wording, compulsory covers, and broker practice.
Industry note: Higher technology E&O, cyber, contractual uptime, IP, vendor, and product feature questions.

AI use cases

Sensitive data

Autonomy and controls

Overall gap score
100/100
High priority broker review
AI use cases
3
active exposure paths
Data classes
2
sensitive categories selected
Controls
2/8
documented control signals

Policy map

Cyber
100/100
E&O
100/100
Crime
78/100
Media liability
76/100
D&O
53/100
Technology E&O
19/100
Product liability
19/100
EPL / HR
19/100

Broker questions to ask

  • Cyber: Does cyber wording respond if an AI tool exposes personal, confidential, payment, or regulated data?
  • Cyber: Are prompt injection, vendor compromise, social engineering, deepfake, and unauthorized system action scenarios addressed?
  • E&O: Does professional liability respond if AI-supported advice, triage, drafting, analysis, or recommendations are wrong?
  • E&O: Is there a human-review requirement that the business can actually evidence?
  • Crime: Does crime/social engineering coverage address deepfake instructions, AI-assisted fraud, or autonomous payment workflows?
  • Crime: Are callback, dual-control, and payment-verification procedures documented and followed?
  • Media liability: Does media liability address AI-generated content, copyright, defamation, advertising injury, and brand misuse?
  • Media liability: Is generated content reviewed before publication or client delivery?

Control gaps to close

  • Approved AI policy and acceptable-use rules
  • AI system and vendor inventory
  • Vendor contracts, indemnity, and data terms reviewed
  • Incident response plan includes AI events and deepfakes
  • Bias, hallucination, prompt-injection, and output testing

Next actions

  1. Create an AI inventory covering owners, vendors, users, data types, and business purpose.
  2. Attach human-review evidence for any AI output that affects customers, claims, payments, advice, contracts, or employment decisions.
  3. Ask the broker to compare cyber, E&O, D&O, crime, media, product liability, and EPL wording against actual AI use.
  4. Review vendor indemnity, limitation of liability, data retention, model training, audit, and incident-notification clauses.
  5. Record local regulatory or market questions before renewal, especially where privacy, employment, professional advice, or financial decisions are involved.

Private by design

For file-based tools, processing is designed to happen in your browser. Avoid uploading confidential files to any website unless you are comfortable with the workflow and have permission to use the data.

Use responsibly

Insurance and business outputs are decision-support prompts, not quotes, coverage opinions, legal advice, or underwriting decisions.

Free access

ToolDox tools are free to use, require no signup, and are supported by clear navigation, guides, templates, and related tools.

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Why AI insurance gaps matter

AI tools can create losses through privacy breaches, bad advice, deepfakes, IP disputes, autonomous actions, vendor dependency, and decision errors. Some exposures may sit silently inside cyber, E&O, media, crime, D&O, technology E&O, product liability, or employment practices wording.

How to use this mapper

Use the result as a broker conversation starter before renewal, placement, vendor review, or AI governance meetings. It is not a coverage opinion. It helps identify which policies, exclusions, endorsements, contracts, controls, and local rules deserve review.

What to review next

Connect this output to the Underwriter Submission Readiness Workflow, the AI Insurance Coverage Gaps guide, and the 2026 commercial insurance renewal guide.