Stay Ahead of Identity-Centric Attacks with Biometric Fraud Prevention

Fraud today doesn’t just exploit systems, it exploits identities. With synthetic users, facial spoofing, and deepfake-assisted impersonation on the rise, traditional fraud models can’t keep up. Facia delivers the biometric fraud intelligence modern organizations need to detect, decode, and prevent advanced identity abuse.

Dive Deeper

$485 Billion Lost to Fraud Globally

With identity fraud among the top contributors

Over 50% of Enterprises

Report challenges catching new types of digital impersonation attacks

Data Breaches

Start with account takeovers or identity spoofing at entry points

How Modern Fraud Works?

How Modern Fraud Works?

Today’s fraud isn’t always transactional; it’s identity-first. Attackers are using generative AI, social engineering, and biometric manipulation to penetrate systems designed for scale.

Fraud Types Gaining Traction:

  • Account Takeovers (ATO) – Credential stuffing and session hijacking bypass weak verifications
  • Duplicate Account Abuse – Same fraudster using slightly altered details to exploit promos, loans, or services
  • KYC Circumvention – Forged documents and facial morphing used to pass onboarding checks

Facia provides visibility into how these fraud types evolve, and how identity tech is responding.

Biometric Intelligence That Powers Prevention

Facia supports fraud prevention teams with data, insights, and best-practice models tailored to AI-era risks.

Explore Industry-backed Face-Based Fraud Detection Trends

Explore how facial recognition systems are being attacked, including morphing, swapping, and adversarial inputs.

Gain Access to Facia’s Spoofing Technique Library

Stay updated on passive vs active presentation attacks and which liveness models are proving resilient.

Implement Behavioral plus Biometric Signal Fusion

Understand how organizations are combining facial identity with session behavior, typing cadence, and device intelligence to flag anomalies.

Set up Fraud Pattern Benchmarking

Compare attack vectors across industries and geographies to anticipate emerging threats.

Explore Reports

Where Biometric Intelligence Fits in Fraud Strategy

Onboarding Gateways

Prevent entry of bots and synthetic identities before they access the system

Authentication Flows

Add biometric checkpoints for session re-authentication or high-value actions

Loan, Payment & Credit Products

Reduce fraud risk by verifying real-user presence

Regulatory Reporting Readiness

Equip teams with clear biometric logs and explainable identity risk scoring

Behavioral Risk Augmentation

Use biometric metadata to strengthen fraud models without disrupting UX

Use Cases

Building a Resilient Anti-Fraud Architecture

Facia helps you rethink fraud prevention beyond passwords and rules-based models. Our data-driven insights cover:

  • Liveness detection models (passive, active, hybrid)
  • Real-world bypass scenarios for ID + face match systems
  • Privacy-first biometric deployment strategies
  • KYC/AML screening workflows that reduce false positives

Fraudsters evolve. With Facia, so does your prevention model.

Building a Resilient Anti-Fraud Architecture
Fraud Moves Fast. Intelligence Moves Faster.

Fraud Moves Fast. Intelligence Moves Faster.

Fraud prevention in the AI era requires more than detection; it demands understanding. Facia equips fraud teams, risk leaders, and platform builders with the biometric identity intelligence needed to stop abuse before it scales.

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