Using IP Intelligence for Fraud Prevention
Combining geolocation, threat scores, and anomaly detection to block fraudulent signups and transactions before they happen.
Account fraud, payment fraud, and fake signups cost SaaS companies millions annually. IP intelligence is one of the most effective — and lowest-friction — tools to fight back.
Signup fraud
Attackers create fake accounts to abuse free trials, collect referral bonuses, or build inventory for resale. Common patterns:
- Multiple signups from the same IP or IP range
- Datacenter IPs (bots don't live in homes)
- Tor or VPN IPs (hiding identity)
- Geographic mismatch with payment method
Blocking datacenter IPs at signup alone can eliminate 60–80% of bot signups in many applications.
Payment fraud
For e-commerce and SaaS billing, check the distance between the IP's geolocation and the billing address country. A card from Germany used from a datacenter in Singapore is a red flag.
Our fraud endpoint returns a risk_level (low/medium/high/critical) and a recommendation (allow/review/challenge/block) to make integration easy.
Velocity checks
Even legitimate IPs become suspicious under high volume. Track how many accounts or transactions originate from each IP or /24 subnet per hour. Residential proxies rotate IPs but often stay within the same subnet.
Challenge rather than block
For medium-risk IPs, prefer a CAPTCHA or email verification challenge over an outright block. You avoid false positives while still filtering automated abuse.