VPN usage is exploding. Whether it’s for privacy, remote work, or region-unlocking — users have more reasons than ever to mask their IPs. But for companies trying to detect fraud and abuse, this creates a huge challenge: How do you detect risk without blocking legitimate users?
Most systems rely on crude IP intelligence databases that flag “VPN detected” and immediately label the user as suspicious. This results in:
Not all VPN traffic is risky. In fact, it’s often used by:
CandycornDB’s goal is not to block VPNs — it’s to understand their risk in context.
Our platform doesn't just ask “Is this a VPN?” — it asks:
By combining real-time behavior tracking with network intelligence, we can score VPN traffic by actual threat level — not assumption.
Two users may use VPNs — but CandycornDB sees the difference:
This helps your system allow the good, block the bad — and stay confident in your decisions.
Every time you block a real user, you lose money. Whether it’s a failed signup, abandoned cart, or lost trust — the cost adds up. And it’s 100% preventable with better IP intelligence.
CandycornDB gives you granular, flexible data to let you:
You don’t need to block all VPNs. You need to be smarter about which ones matter. CandycornDB lets you:
View our API docs or start scoring smarter now with CandycornDB.