Ai Watermarking Robustness
Objective
Enable deepfake attribution + brand protection.
Control / requirement
C2PA-compliant watermarking + tamper resistance testing.
Business impact
Without robust watermarks, deepfakes cannot be reliably attributed, enabling impersonation fraud and brand damage with estimated exposure of $500k-$50M per incident.
Validation approach
Test ID: D5-CTL-04-VTS-001 Test Type: Automated Test Design: Apply common watermark removal attacks (cropping, compression, noise, re-encoding) to watermarked output Execution Steps: 1. Generate watermarked output 2. Apply attack suite 3. Attempt extraction 4. Calculate detection rate Pass Criteria: watermark_detection_rate >= 95% after attacks; false_positive_rate < 1%; c2pa_compliant = True Independent Verification: Auditor applies attack suite and verifies detection rate.
Expected evidence
Not separately specified in the available source.
Mapping and source
Not separately specified in the available source.
Implementation guidance
Translate the requirement into system-specific procedures, responsible roles, technical configurations and review conditions. Retain evidence showing both design and operating performance. Where the source provides no separate implementation instruction, do not infer that a single technical mechanism is sufficient.
Assessment considerations
- Confirm scope and applicability.
- Inspect control design and responsible ownership.
- Test representative operation and adverse conditions where appropriate.
- Evaluate evidence provenance, completeness and contradictory evidence.
- Record limitations and notably absent outcomes.