How Device Intelligence Prevents Fraud in Real Time
Explore how device intelligence improves fraud detection, credit scoring, and onboarding – with real-time analysis and privacy-first design.
Bank Account Fraud: 5 Techniques Fraudsters Commonly Use
Explore five common types of bank account fraud – from synthetic identities to mule networks – and how behavioral and device-based insights enable earlier, privacy-safe detection.
What Is Synthetic Identity Fraud and Why It’s Growing
Synthetic identity fraud is on the rise. Discover how behavioral and device-based signals help fintechs detect synthetic fraud without using personal data.
What Is Alternative Credit Scoring and Why It Matters
Alternative credit scoring gives fintechs and lenders a smarter, privacy-safe way to assess risk and reach thin-file customers. Here's how it works – and why it’s gaining traction.
Top 6 Fraud Trends that Affected Online Businesses in 2024
Fraud continues to pose a serious challenge for businesses worldwide. In 2024, nearly 60% of financial institutions, including banks, fintechs, and credit unions, reported losing over $500,000 each in direct fraud losses.
Telecom Fraud in 2025 and Beyond: Emerging Trends and Tips for Protection
Telecom fraud explained: definition, types and prevention strategies.
Introduction to Device Fingerprinting
What is device fingerprinting and why is it crucial in fraud prevention?
Risk Monitoring: How to Stay Ahead of Threats to Your Business
Risk monitoring represents a set of techniques as a part of businesses’ risk-assessment.
Detecting Payment Fraud with Machine Learning
Learn how ML-based solutions help to detect and prevent payment fraud.
Social Engineering Fraud Types: Phishing, Vishing, and Other Scams Explained
Social engineering fraud types, impact on business, and ways to prevent.
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