Banana Navy
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Lab · AI threat modeling · Detailed card

Synthetic voice spoofing (cloning, TTS, conversion)

Making a voice that is not a present human speak.

CardF2
CategoryS-TB7-01 (spoofing, voice identity)
Layers6 · Deepfake Detection, 3 · Audio Capture, 8 · Speaker Verification
SystemAI voicebot

Detect synthetic audio and escalate at the slightest doubt.

The threat

the attacker produces a voice that is not a real human's or that imitates a victim, via cloning, speech synthesis (TTS), voice conversion or a synthetic call, to trigger actions or unwarranted credit.

Blind spotWhy classic frameworks miss it

voice identity is not a binary identifier like a password; classic frameworks do not model a speech signature that can be generated artificially and pass a simple presence check.

MitigationProposed approach

deep synthetic-audio detection (anti-spoofing ensemble), explicit confidence thresholds, human escalation when in doubt, alerts on supposedly synthetic emergency calls.

The proposed control
no critical path validated on a single voice analysis.

Expected evidence
a cloned sample does not obtain a sensitive action without an additional control.

SourcesReferences and public research

MITRE ATLAS 2026.07AML.T0043 Craft Adversarial Data
Public researchPublic research sources: MITRE ATLAS 2026.07 (verified technique mapping), OWASP GenAI (model abuse categories), and the public risk-voicebot (aivansoul/risk-voicebot) template defining the 20 checkpoints. No client registry data: generic card, no rating, no verdict.

Explore the 20 security layers

MITRE ATLAS 2026.07 · OWASP GenAI · risk-voicebot