Integrate one and protect every interaction. Analyze risks across pre-browsing behaviors, through to account creations, logins, details changes, checkout and payments.

Protect against account takeovers, payment fraud, shipping and returns fraud. Identify behavior indicative of scams and social engineering across payment journeys.

Prevent bonus abuse, business logic abuse and API abuse. Detect fraudulent or abusive content before it is uploaded. Protect end user trust and safety.

Identify malicious automated bots and human click farms developing fake accounts. Streamline integration of third-party authentication / KYC checks for a slick onboarding experience.

Accurately identify returning users, even if device, browser or behavioral elements change. Separate trusted and high-risk behavior as it happens to prevent intrusion of trusted accounts.

Add upstream context to downstream checkout and payment workflows. Consolidate digital interactions with instore activity, such as rewards redemptions, via the Darwinium API.

Detect subtle signs of social engineering or coercion indicative of a potential scam, via journey-level behavioral analytics and behavioral biometrics. Identify remote access behaviors, live call detection and unusual payment patterns.

Uncover unwanted bonus-abuse behaviors, such as use of automated bots that can bypass captchas, cookie wiping and use of private browsing to bypass device recognition, and use of proxies and emulators to generate multiple new player bonuses.