Attack Vectors

What and how generative AI techniques are used to deceive, impersonate and defraud.
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Audio splicing and evidence tampering

Audio
Corporate Fraud
Political Disinformation
Brand & Reputation

Audio splicing and evidence tampering use cut-and-paste edits, synthetic insertions, or AI-generated segments to alter the meaning of a real recording. The goal is to weaponize audio as evidence rather than impersonate a live speaker.

Use cases: Media authentication & moderation · Public sector

How it works

  • Genuine speech is edited to remove, reorder, or fabricate statements
  • AI fills in transitional words or phrases to mask edit boundaries
  • The result is re-encoded and shared, often with metadata stripped, to evade simple integrity checks

Where it shows up

  • Manufactured "leaked" audio of executives or politicians distributed to media
  • Tampered recordings submitted as evidence in legal disputes, HR cases, or insurance claims
  • Edited support call transcripts used to falsify customer disputes or chargeback claims
  • Fabricated press leaks that splice real sound bites with synthetic content to drive market reaction
  • Doctored journalist interviews or witness statements used to discredit real reporting