Lloyds Bank Voice ID Bypassed Using AI-Generated Audio
AI-enabled attack3 Confirmed exploitationDeepfake fraud
A journalist successfully bypassed a bank's voice recognition authentication system using synthetic audio generated by AI. The incident demonstrated vulnerabilities in voice biometric security controls.
Details
- type
- AI-enabled attackAttackers used AI as a meaningful part of a cyberattack against someone else.
- categories
- Deepfake fraudSynthetic voice, video or images used to impersonate people for fraud, extortion or access.
- Deepfake fraud
- owasp llm top 10
- no entry for these categories
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 3 · Confirmed exploitationUsed against real targets; limited or unclear impact.
- targets
- Enterprise deployment
- products
- Lloyds Bank Voice ID, ElevenLabs
- incident date
- 22 Feb 2023
- first reported
- 22 Feb 2023
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- deepfake · voice-biometrics · authentication-bypass
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json
Sources · 1
- 2023-02-22UK Bank's Voice ID Successfully Bypassed Using AI-Produced AudioAI Incident Database · incidentdatabase.ai/cite/485
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