| What it does | Open-source AI security verification
| Detect whether images are AI-generated or created by humans
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Open source
| Freemium
|
|---|
| Pricing | Not given
| Free plan with monthly credits; paid plans available starting from $0 to $300
|
|---|
| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - AI image detection
- Deepfake detection
- URL image analysis
- API access for bulk detection
- Confidence score reporting
- Mobile device support
|
|---|
| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - No installation required, works directly in web browser
- Detects images from multiple AI generators including Midjourney, DALL·E, and Stable Diffusion
- Privacy-focused with no image storage after analysis
- Browser extension for seamless in-page detection
- API integration for businesses and platforms
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 43 ● no change since last check |
| Trust Flow (Majestic) | 2 | 13 |
| Citation Flow (Majestic) | 21 | 34 |
| Referring domains (Majestic) | 22 | 388 |