How Our KYC Detection
Works for Customer Onboarding

Our KYC engine leverages AI, document intelligence and cross-source verification to authenticate customers swiftly and securely, reducing onboarding friction while blocking fraudulent identities.

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Document Authenticity Checks

Uses AI to detect tampering, font mismatches, hologram integrity, and template compliance in government-issued IDs.

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Address & Geolocation Matching

Validates address proof and compares declared location with device/IP geolocation in real time.

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Device Fingerprinting

Captures device metadata (OS, browser, screen size, time zone) to identify known or suspicious devices during onboarding.

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IP Address Intelligence

Analyzes IP reputation, location, ISP type, and risk indicators (VPN, Tor, data center usage) to flag anomalies.

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Risk Scoring & Adaptive Checks

Assigns a dynamic risk score to each onboarding attempt, triggering additional KYC steps or automated rejection when thresholds are exceeded.

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Synthetic Identity Detection

Identify and block fake identities through behavioral and digital footprint analysis.

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Geo & Network Risk Intelligence

Assess IP reputation, proxy/VPN usage, TOR traffic, and geo-velocity for smarter fraud controls at onboarding.

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Behavioral Biometrics

Analyze typing rhythm, mouse movement, and interaction dynamics to silently verify identity.

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Real-Time Trust Scoring Engine

Score every onboarding session for fraud likelihood, enabling instant allow/block/step-up decisions.

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Benefits for Business

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Increase conversion rates through low-friction journeys

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Reduce onboarding abandonment and operational overhead

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Prevent fraud at account origination stage

The Atna advantage

Atna empowers onboard customers faster, smarter, and safer. By integrating real-time fraud intelligence and building lasting customer trust from the very first interaction.

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