Every fraud vector, one API
Explore how Veille helps you detect and prevent fraud across every touchpoint in your application.
Account Sharing
Cross-reference device fingerprints, IP geolocation, and session tokens to flag when multiple users operate behind a single account.
Account Takeovers
Score every login attempt by combining IP reputation, email risk, device trust, and behavioral velocity in a single API call.
API Abuse
Detect scraping, enumeration, and automated abuse on server-side endpoints where browser fingerprinting isn't available.
Bonus Abuse
Detect users gaming referral bonuses, loyalty points, and reward systems through multi-accounting, device manipulation, or automated claims.
Chargeback Fraud
Identify customers likely to dispute legitimate transactions by correlating purchase behavior, device fingerprints, and historical chargeback patterns.
Content Abuse
Validate the identity behind every form submission by scoring the email, IP, and device before content reaches your platform.
Credential Stuffing
Detect and stop large-scale login attempts using stolen credential lists by analyzing IP patterns, request velocity, and device anomalies.
Fake Accounts
Score every signup by checking email deliverability, IP reputation, and device fingerprint before the account is created.
Free Trial Abuse
Prevent users from repeatedly signing up for free trials using disposable emails, new devices, or VPN rotation to bypass limits.
Identity Spoofing
Detect impersonation attempts by cross-referencing email ownership, device trust, IP geolocation, and behavioral signals in real time.
Inventory Hoarding
Detect bots and bad actors reserving high-demand inventory without intent to purchase, using device, IP, and velocity analysis.
Multi-Accounting
Correlate device fingerprints, email patterns, and IP addresses across registrations to enforce single-account policies.
Payment Fraud
Score every transaction by combining card risk signals, IP intelligence, device fingerprints, and email validation before processing payment.
Phishing Detection
Detect domains and emails associated with phishing campaigns by analyzing domain age, DNS configuration, and abuse reputation signals.
Promo Abuse
Detect users exploiting coupon codes, discount campaigns, and promotional offers through multi-accounting, automation, or policy violations.
Referral Abuse
Detect self-referrals, fake invitees, and coordinated referral rings by correlating devices, emails, and IPs across referrer-invitee pairs.
Review Manipulation
Detect fake reviews, rating manipulation, and coordinated campaigns by analyzing reviewer identity signals, posting patterns, and device data.
SMS Pumping
Detect toll fraud and OTP abuse by scoring phone number requests against IP, device, and volume signals before sending.
Transaction Abuse
Evaluate transaction risk before it reaches your payment processor by scoring the payer's email, IP, and device in real time.
Web Scraping
Detect and block automated scraping bots that extract pricing, content, or user data from your application at scale.
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