Overview

AdvanGuard is an AI-powered identity verification platform that unifies document verification, face authentication (including liveness detection), and fraud-risk signals into a single automated onboarding flow. It’s designed to speed up eKYC, reduce manual reviews, detect forged or tampered IDs, match live selfies to ID photos, and surface hidden fraud signals — enabling faster customer onboarding while helping organisations stay KYC/AML compliant.

Features and Capabilities

• **Document verification: **Forensic-level ID checks with OCR extraction, tamper and forgery detection, multi-country document coverage, and prompts to capture both ID sides to verify authenticity and metadata.
• **Face authentication & liveness: **Live selfie vs ID face matching with similarity scores plus passive and active liveness detection to block photos, videos, 2D/3D masks and deepfakes.
• **Risk & fraud signals: **Cross-signal analysis that combines device signals, behavioural anomalies, historical patterns and anti-replay/injection checks to flag synthetic identities and other hidden attacks.
• **OCR & data capture: **High-accuracy optical character recognition to auto-capture ID fields and eliminate manual typing and form errors, improving onboarding speed and conversion.
• Forensic document authentication: Algorithms to detect screen recapture, printout attacks, image editing and synthetic tampering on IDs to stop forged documents.
• **Unified API & integration: **Single API model designed for quick embedding into existing flows so organisations can integrate verification in days rather than weeks, and scale without heavy configuration.
• **Compliance support: **Built to support AML/KYC requirements and jurisdictional rules across many countries, with logging and audit capabilities to help compliance teams.
• **Operational impact: **Reduces manual review workload (claims of up to ~90% reduction), speeds onboarding (minutes/seconds), and increases verified-customer conversion rates while lowering fraud losses.