Deepfake Detection
Detect tampered identity documents without needing biometrics or video - Ensures submitted documents or images haven’t been tampered with or synthetically generated. Using advanced integrity checks, Atna flags inconsistencies, helping protect platforms from fraudulent or manipulated uploads.
Protects against synthetic ID fraud in remote onboarding
No dependency on live selfies or biometric signatures
Detects low-quality morphs, reprints, and synthetic overlays
Analyses uploaded document
images for manipulation
or alterations
Built Around Your Risk Signals
Atna adapts to your risk model instead of forcing you to follow fixed scoring templates—whether you’re a lender, fintech, or onboarding platform.
No Heavy Data Dependencies
Unlike legacy systems, Atna doesn’t require biometrics, video calls, or massive data uploads making it lightweight and fast to deploy.
Use Only What You Need
Every module runs independently, so you can deploy just one feature (like KYB or deepfake detection) without committing to a full suite.
Designed for Emerging Markets
Tailored for regional complexities like GST data, PAN formats, UBO structures, and document variations across India and Asia.