See how Fingerprint’s Proximity Detection turns noisy GPS signals into actionable fraud insights, helping you detect device farms, multi-accounting, and coordinated abuse.
Learn how to use IP geolocation to detect fraud, spot suspicious login patterns, and strengthen risk scoring.
Embedded browsers like webviews and Chrome Custom Tabs make mobile flows fast to launch, but create session and fraud challenges. Learn how Fingerprint’s device intelligence can help you recognize users and maintain secure, seamless experiences.
Fingerprint marks 10+ years of device intelligence with record ARR growth and new breakthroughs in bot, proxy, and AI agent detection.
Compare two leading tools for account fraud prevention. Learn why persistent device ID and pre-login signals give Fingerprint the edge.
Learn VPN detection methods including database validation, timezone mismatch, OS mismatch & more. Detecting VPNs better identify users and prevents fraud.
Discover effective strategies to strengthen ID verification during registration. Learn how device intelligence enhances user verification and assesses fraud risk.
Velocity Signals counts important data points per visitor. Integrate this data into your risk-decisioning process when visitors engage with your site.
Discover new Fingerprint features to gain deeper insights, optimize billing, and enhance fraud detection.
Discover how to use Fingerprint’s most popular Smart Signals to prevent fraud and enhance user experiences by turning data into actionable insights.
Learn how Fingerprint's Android Device Reputation Network enables developers to get crucial historical insights into any Android device.
Fingerprint’s product updates simplify fraud detection and prevention through unified analytics, advanced data visualization, and customizable threat scoring.