Expert knowledge on device fingerprinting, bot detection, and protecting your business from online threats.
A comprehensive technical deep-dive into modern device fingerprinting techniques, covering browser APIs, hardware signals, and privacy-preserving approaches that prioritize precision.
Fraudsters are now using generative AI and machine learning to create more sophisticated attacks. Learn about deepfakes, synthetic identities, and how to defend against AI-augmented fraud.
False positives cost businesses more than fraud itself. Learn our proven methodology for dramatically reducing false declines while maintaining strong fraud prevention.
Navigating GDPR while maintaining effective fraud prevention is challenging. This guide provides practical implementation strategies that satisfy regulators and protect your business.
How typing patterns, mouse movements, and touch dynamics can identify users with high confidence—without any passwords. The science and implementation guide.
Engineering deep-dive into VerifyStack's edge architecture for large-scale traffic and low-latency decisions. Includes system design patterns and code examples.
Account takeovers cost businesses $11.4B annually. Learn our multi-layered approach combining device trust, behavioral analysis, and real-time threat intelligence.
Real-world implementation story of a SaaS company that reduced chargebacks from 2.3% to 0.14% in 90 days using VerifyStack's fraud detection platform.
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