Digital Footprinting
Spot risky users early by analyzing device, network, and behavioral patterns - Analyzes user interactions across devices, IPs, networks, and behavioral markers to detect inconsistencies or high-risk traits. It enriches user profiles in real time, helping platforms make informed decisions with context, not just credentials.
Profiles IP, device fingerprint, emulator use, and user journey behavior
Detects shared devices, proxy usage, and location anomalies
Adds passive signals without increasing user friction
Identifies returning users across sessions without login
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.