Security & RiskDepartment managersEngineering / ITAll staff

How to Verify AI-Generated Data, Regulations, and Market Facts

Build a three-layer verification process to avoid mistaking hallucinations for facts.

6 min read · Last updated 2026-07-17

What you'll learn

  • Build a 3-layer verification process.
  • Distinguish trustworthy citations from untrustworthy ones.

Step-by-step guide

Layer 1: Source verification

For any specific number, legal clause, standard, or certification, require AI to provide its source and check it against the official website. If the URL AI provides doesn't exist, that's a hallucination.

Layer 2: Logical verification

Check whether the reasoning is consistent from start to finish, and whether the same number is being applied to multiple different conclusions.

Layer 3: Expert verification

For anything involving law, finance, medicine, or engineering safety, a qualified professional must review it — no matter how confident the AI sounds.

Which citation styles are trustworthy?

"Based on data our company provided..." is generally more trustworthy. "According to a 2024 industry report, the market size is X billion" with no clear source is usually a hallucination.

Good example / Bad example

Good practice

"Please provide the original source URL for this conclusion; if you can't confirm it, say so explicitly."

Bad practice

Quoting a 'government report figure' cited by AI directly to a customer.

Common mistakes

  • Assuming that the more specific AI sounds, the more trustworthy it is.

Cautions

  • Professional responsibility still rests with the person; AI output is only a draft.

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Last updated 2026-07-17

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