AI-Generated Content Detection
Deepfake detection
Synthetic media analysis
Policy enforcement
Overview
SafetyKit detects AI-generated content including deepfakes and synthetic media. As generative AI tools become more sophisticated, platforms need robust detection capabilities to identify manipulated content that could be used for fraud, misinformation, or harassment.
Key Capabilities
- Deepfake detection: Identify manipulated faces and synthetic video content using specialized detection models
- AI image detection: Detect images generated by diffusion models and other generative tools
- Manipulated media detection: Flag edited or doctored images and videos that combine real and synthetic elements
Detection Capabilities
Visual deepfakes
AI-generated images
Manipulated media
Authenticity signals
How It Works
Content Analysis
- Artifact detection: Identify telltale signs of AI generation invisible to humans
- Model fingerprinting: Recognize signatures of specific generation models
- Metadata analysis: Check provenance signals and generation patterns
Consistency Checks
- Lighting analysis: Detect inconsistent shadows and reflections
- Physics validation: Check for impossible geometries or movements
- Temporal coherence: Analyze frame-to-frame consistency in video
Enforcement Decisions
Results feed directly into your enforcement pipeline—auto-remove, flag for review, or allow with reduced distribution. Define custom rules based on confidence thresholds, policy categories, and user context.
Use Cases
Social media
Dating apps
News organizations
Marketplaces
Performance at Scale
Performance
Real-time
Detection decisions
90%
Accuracy on known generators
75%
Accuracy on novel generators
Coverage
50+
Generation models recognized
100%
Major deepfake techniques covered
Agility
<1 week
New generator model coverage
Zero engineering for new generators
Continuous model updates
Related Capabilities
