How Much of What You’ve Verified Is Actually Real?

Gate 1: The Biometric Detective

This gate examines whether a face follows natural human geometry as it moves. It measures spatial relationships the human eye rarely tracks, looking for inconsistencies that tend to appear when synthetic faces try to mimic real anatomy over time.

Gate 2: The AI Signature Hunter

This layer scans for statistical patterns commonly produced by AI-generated media. Instead of identifying a specific tool, it looks for broader characteristics that distinguish machine-generated content from camera-captured reality.

Gate 3: The Digital Archaeologist

Here, the system analyzes how the media has been processed. Real images tend to degrade evenly, while manipulated ones often show uneven compression or editing traces that suggest parts of the image were altered separately.

Gate 4: The Frequency Analyst

This gate moves beyond visible pixels and analyzes the image in frequency space. It detects noise and spectral patterns that real sensors naturally create but synthetic systems often replicate imperfectly.

Gate 5: The Texture Specialist

This layer focuses on fine surface details such as skin texture and edges. It looks for repetition, smoothing, or loss of micro-variation that can occur when generative models simplify complex natural patterns. ,mn bv

Gate 6: The Degradation Expert

Many attacks rely on poor image quality to hide flaws. This gate is designed to remain effective under compression, blur, low light, and noise, identifying signals that persist even when clarity is reduced.

Gate 7: The Pixel Inspector

At high resolution, this final gate inspects how pixels relate to one another. It looks for subtle discontinuities that can reveal how an image was assembled, especially where synthetic media struggles to maintain consistency at fine detail.