Multi-account fraud
Connect dozens or hundreds of accounts back to the device operating them. Account Intelligence exposes coordinated fraud rings using separate emails, sessions, and identities to look like unrelated customers.
NEW RELEASE
Account Intelligence
Stop repeat abuse and account-based fraud by connecting a high-fidelity DeviceID with identity.
Use cases
See who’s really behind the accounts
Account Intelligence links devices, accounts, emails, and behavior to reveal one operator hiding behind many identities. Make risk decisions at account creation, login, and checkout—before the abuse reaches your payment layer.
Guest checkout fraud
Assess risk even when there is no account history to rely on. Device, email, and session signals reveal stolen cards, disposable identities, and repeat offenders before the order reaches payment authorization.
Promo and bonus abuse
Stop one person from claiming the same offer again and again. Link accounts to uncover discount-code abuse, referral farming, abandoned-cart offer abuse, and repeated signup or betting bonuses.
Reseller operations
Expose resellers using networks of accounts to acquire limited inventory, exploit free shipping, and evade purchase limits. Apply different rules to high-risk accounts without adding friction for genuine buyers.
Account takeover and sharing
Spot when an account suddenly appears on a new device, changes location, or is accessed across too many devices. Surface compromised, resold, or shared accounts before their value is drained.
High-value program abuse
Protect employee discounts, pro and trade programs, loyalty tiers, and other restricted benefits. Detect one device accessing multiple member accounts or credentials being resold outside the audience the program was built for.
Map devices to accounts
High fidelity DeviceID
Built on the same telemetry that powers Kasada’s Bot Defense across web, mobile, and API. It’s hard enough to reverse-engineer that you get a clear signal that identifies when multiple devices are connected to a single account and vise versa.
Dynamic risk scores
Real-time behavioral signals
Every login, password reset, and cart add updates the risk score in real time. Catches sleeper accounts when they activate and compromised accounts when behavior changes.
What's inside
Bad signals break everything downstream.
Fraud API Response
{
"summary": {
"score": 12,
"level": "low"
},
"results": {
"domain": {
"contribution": "low",
"sslCertificateRecentlyIssued": true
},
"...": "2 more categories"
}
}