MEET FINGERLYA clearer picture of every session.Explore the signals
Device intelligence, applied

One integration. Every moment that matters.

The same visitor ID and the same signals, put to work wherever abuse gets in and wherever friction gets in the way: from signup to checkout, in every industry.

Stop abuse where it starts.

Check the session at the moment that can be abused, and let everyone else straight through.

  1. 01Payment fraud
  2. 02Account takeover
  3. 03New account fraud
  4. 04Promotion abuse
  5. 05SMS fraud
  6. 06Bot attacks
  7. 07Marketplace trust
01

Payment fraud

Reduce fraud. Approve more real payments.

Bring device and network context to checkout, so a known customer on a familiar device moves through and a stolen card on an emulator does not. An input to your payment decision, never a replacement for it.

Check at
CheckoutAdding a cardHigh-value orders
Signals
Visitor IDVPN & proxyEmulatorsSuspect score
02

Account takeover

Stop attacks without slowing real logins.

Recognise the devices an account normally signs in from, and step up verification only when a login arrives from somewhere new, automated or anonymised.

Check at
LoginPassword resetChanging email or phone
Signals
Visitor IDBot detectionTor & VPNBrowser tampering
03

New account fraud

Stop repeat signups and trial abuse.

A visitor ID that survives cleared cookies and private windows connects the fifth "new" account to the device that made the first four, before the trial or the credit is granted.

Check at
SignupFree trial startVerification
Signals
Visitor IDIncognitoDevice farmsEmulators
04

Promotion abuse

Reward new customers, not the same device.

Coupons, referral bonuses and first-order discounts are claimed once per person. Connect claims back to the devices behind them and review the clusters, not every customer.

Check at
Coupon redemptionReferral rewardsWelcome offers
Signals
Visitor IDDevice farmsHigh activityVPN & proxy
05

SMS fraud

Stop SMS pumping before it costs you.

Scripts that trigger one-time passcodes to premium numbers run up a bill on every request. Check the session before you send, and refuse the ones that are automated or cycling through devices.

Check at
Sending a one-time codePhone verification
Signals
Bot detectionHigh activityDatacenter networksVisitor ID
06

Bot attacks

Separate scripts from the people you serve.

Credential stuffing, scraping and inventory hoarding come from automation dressed as a browser. Detect driven and modified browsers and virtual machines, and let real visitors through untouched.

Check at
LoginSearch and listingsLimited drops
Signals
Bot detectionBrowser tamperingVirtual machinesDatacenter networks
07

Marketplace trust

Connect real people. Catch connected abuse.

Link sellers, buyers and listings that share devices, so a trust team starts an investigation with the connections already drawn, while households and shops that share a device are not punished for it.

Check at
Seller onboardingNew listingsPayout changes
Signals
Visitor IDDevice farmsLocation mismatchSuspect score

Remove friction for the people you know.

Recognition is not only a defence. It is how a returning customer skips the hoops.

  1. 01Returning user experience
  2. 02Account sharing prevention
  3. 03Paywall enforcement
01

Returning user experience

Recognise customers. Remove friction.

Know a returning visitor without asking them to sign in again or accept another cookie. Skip the extra verification for familiar devices and save it for the sessions that need it.

Check at
LoginCheckoutPersonalisation
Signals
Visitor IDConfidence score
02

Account sharing prevention

Turn shared logins into paying customers.

Count how many distinct devices use one subscription. Past your limit, offer a plan for the household rather than a hard block.

Check at
LoginStarting playback or a session
Signals
Visitor IDLocation mismatchVPN & proxy
03

Paywall enforcement

Keep metered limits meaningful.

Private windows and cleared cookies reset a cookie-based meter. A visitor ID does not, so the free-article count follows the reader rather than their storage.

Check at
Article viewsMetered features
Signals
Visitor IDIncognitoPrivacy settings

Built for how your industry is attacked.

Different products, different weak points. Start with the use cases that matter most in yours.

Don’t see yours?

The signals are the same everywhere. Tell us where abuse gets into your product.

Talk to the team
[ IDENTIFY ][ UNDERSTAND ][ DECIDE ][ FINGERLY ]
Less guessing. More knowing.

Make the next connection a trusted one.

Start with the signals, keep your own decisions, and pay only for what you identify. No credit card needed.