The Fraud Lab
Fraud is evolving and becoming more sophisticated. The Entrust Fraud Lab is an in-house research team that stays ahead of evolving identity fraud, by training and testing identity verification solutions against real-world attack patterns.
The Fraud Lab creates deepfakes, 3D masks, synthetic identities, forged documents, and other fraud samples to strengthen AI-powered fraud detection, improve fraud analytics, and help organizations detect emerging threats before they impact customers or revenue.
Test against real-world fraud
Train AI with fraud intelligence
Stay ahead of emerging attacks
Fraud Lab Highlights:
Think Like Fraudsters to Stay Ahead
Entrust Fraud Lab studies real-world attack techniques and tests identity verification defenses against advanced fraud scenarios, helping organizations identify emerging risks before they affect customers, operations, or revenue.
Strengthen Fraud Detection with Real-World Intelligence
The Fraud Lab generates thousands of fraud samples, including deepfakes, 3D masks, synthetic identities, forged documents, and other attack examples, to strengthen AI-powered fraud detection models against evolving threats.
Validate Defenses Against Real-World Attacks
By replicating emerging fraud techniques and testing against conditions that reflect real-world threats, Entrust helps organizations strengthen fraud analytics, address vulnerabilities faster, and keep identity verification defenses effective.
Join Them to Beat Them
Fraud Lab stays at the cutting edge of identity fraud — creating deep fakes and 3D masks to replicate the most advanced attacks and strengthen our fraud analytics capabilities. It also generates thousands of fraud samples and synthetic identities to train our award-winning AI faster than possible using production data alone.
Accurate Benchmarking
Fraud Lab allows us to continually test our solution with data that mirrors real-world conditions using rigorous fraud analysis to benchmark performance against live attack patterns.
Emerging Attack Patterns
We can replicate emerging attack patterns as soon as we encounter something new to close vulnerabilities fast and feed new intelligence into our fraud analytics models.
Imagining the Future
Our experts think like fraudsters, imagining what patterns and tools we’re likely to encounter next — keeping our products ahead of new technologies, like deep fakes.
글로벌 사기 정보 분야의 최신 동향 살펴보기
2025년에는 사회공학적 수법과 강압을 통한 신원 확인 위협이 증가했습니다. 딥페이크, 문서 위조, 기기 에뮬레이션이 횡행하게 되면서 조직은 신원 정보가 위험에 노출될 수 있는 모든 곳에서 보안을 강화해야 합니다. 디지털 채널 전반에서 신원 보호 및 실시간 사기 방지를 위한 전략을 알아보십시오.
How Does the Fraud Lab Keep Us Ahead?
Analysis and Proactive Benchmarking
Our experts analyze every fraud case to close the gaps in our solutions, and more effectively improve our performance. The Fraud Lab helps us set our roadmap and stay one step ahead of the latest fraud.
Data Generation
You can’t train AI without data — and in the world of fraud, data can be hard to come by. Our proprietary tools are able to create the thousands of fraud samples needed to replicate attacks, and create effective datasets that strengthen our machine learning models designed for fraud detection.
Solutions Powered by Fraud Lab
문서 확인
Our award-winning document verification supports over 2500 documents worldwide. Every ID, from every country, in it’s many multiple iterations has unique vulnerabilities. The Fraud Lab enables us to test individual document types, and reverse engineer new attack vectors we’re seeing in the real world, so we can react quickly and retrain our AI's 10,000+ micro-models to catch emerging techniques.
Welcome “Inside the Fraud Lab”
For those who protect a business from fraud, staying ahead of attacks can seem impossible. Come “Inside the Fraud Lab” to hear what the world’s top fraud experts are seeing in the field — so you can be proactive in your fight against fraud using insights grounded in real-world fraud analytics. We’ll talk to business, regulatory, and criminology experts — looking at how attack patterns are changing, what’s keeping them up at night, and best practices for an effective prevention strategy.
