Detect Deepfake Audio → Verify Authenticity → Block Suspicious Content
Automatically screen uploaded audio content for deepfake manipulation, verify authenticity using multiple detection methods, and block or flag suspicious files.
Workflow Steps
Deepfake Detection API
Analyze uploaded audio files
Set up integration with a deepfake detection service (like Sensity or Reality Defender) to automatically scan all audio uploads. Configure API to return authenticity confidence scores.
AWS Lambda
Process detection results and apply rules
Create Lambda function that evaluates authenticity scores and applies business rules (e.g., block files under 70% confidence, flag files 70-85%, approve above 85%).
Airtable
Log results and manage quarantine queue
Automatically log all audio files, detection scores, and actions taken in Airtable. Create views for quarantined files awaiting human review and approved/blocked content.
Workflow Flow
Step 1
Deepfake Detection API
Analyze uploaded audio files
Step 2
AWS Lambda
Process detection results and apply rules
Step 3
Airtable
Log results and manage quarantine queue
Why This Works
Leverages the same speech analysis technology originally designed for mental health to detect artificial manipulation patterns in audio
Best For
Content platforms, news organizations, or legal firms that need to verify audio authenticity
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