AttackDog — device fingerprinting that doesn't ask the customer.
Most fraud tools punish the legitimate buyer. They add a CAPTCHA, an OTP, an extra address-verification step — and watch checkout abandonment rise. AttackDog runs underneath the customer's experience: device fingerprinting, IP intelligence, behavioral signals, and ML scoring evaluated in milliseconds, with no extra fields and no extra clicks.
Stop fraud before authorization
Each transaction gets a score before it ever leaves the gateway. Block, review, or approve — your call, configurable per merchant or per vertical.
Profile and block, in three moves
1. Decide your strategy Define the rule template for the merchant's industry and risk profile. Different ruleset for ecommerce vs. recurring billing vs. high-ticket B2B.
2. Profile the customer Every transaction is evaluated against the ruleset, plus device, IP, and behavioral signals. The score lands on the transaction record — no extra integration to surface it.
3. Block the fraudster Transactions above your threshold are blocked or held for review automatically. The legitimate customer sees the same checkout they always saw; the fraudster sees a stop sign.
For ISOs and ISVs that own the portfolio
Roll AttackDog out across every merchant. Tune templates by vertical. Surface the score in your reporting and let your support team triage from one screen.
Features
- Machine learning fraud scoring
- Device ID fingerprinting
- IP intelligence and behavioral signals
- Chargeback prevention
- Authenticate, profile, and block fraudulent transactions
- No customer-facing friction
