MEET FINGERLYA clearer picture of every session.Explore the signals
Playbooks

A place to start. For every team.

Five short playbooks for the journeys abuse targets most. Each says where to put the check, what to read in the result, and how to keep the decision fair to the customers who did nothing wrong.

  • Account securityTakeovers at login.
  • PromotionsOffers claimed once.
  • PaymentsSafer checkout.
  • MarketplacesConnected abuse.
  • GamingFair play.

Five journeys. One approach.

Observe first, combine signals, act in proportion to the evidence, and give legitimate customers a way through.

  1. 01Account security playbook
  2. 02Promotion abuse playbook
  3. 03Payment session playbook
  4. 04Marketplace trust playbook
  5. 05Gaming session playbook
01

Account security playbook

Welcome the customer. Not the impersonator.

Start by establishing what a normal session looks like for your own product. At login, verify the request on your server and compare the returned device context with the account’s recent history. A new device is not inherently suspicious; combine it with automation indicators, inconsistent environments, and account behavior before adding friction. Use step-up verification for uncertain sessions, keep an auditable reason for the decision, and give legitimate customers a recovery path. Monitor outcomes before turning a new rule into a hard block.

Steps
Recognize returning device contextSurface unusual access patternsAdd verification only when needed
Account security use case
02

Promotion abuse playbook

Reward new customers. Not the same device.

Add a session check at signup and again when an incentive is claimed. Look for repeated device context and bursts of linked account activity, rather than relying on an email address or IP alone. Shared households, offices, and public networks need particular care. Send uncertain clusters to review or request additional verification. Keep the incentive policy visible to users and measure how often legitimate claims are affected before tightening your rules.

Steps
Connect related signup sessionsSpot repeated incentive claimsReview coordinated device activity
Promotion abuse use case
03

Payment session playbook

Make checkout safer. Not harder.

Evaluate the session at a payment-sensitive action, then combine the result with the evidence already available in your payments stack. Device intelligence is an additional input; it does not replace authorization, payment authentication, or your fraud operations. Define explicit actions for low-confidence signals, temporary errors, and unavailable results. Measure approval outcomes and review feedback before changing a production decision policy.

Steps
Add context at sensitive actionsConnect checkout with account historyEscalate only the sessions that need it
Payment fraud use case
04

Marketplace trust playbook

Connect real people. Catch connected abuse.

Choose meaningful checkpoints such as seller onboarding, listing creation, or a high-value account change. Related sessions can give an investigator a useful lead, but a shared device or network alone does not establish wrongdoing. Keep review actions proportional, document the signals behind them, and offer a way to appeal a mistaken restriction. Protect the marketplace without discouraging legitimate shared-device use.

Steps
Connect repeat account activityAdd context to seller reviewsInvestigate coordinated sessions
Marketplace trust use case
05

Gaming session playbook

Fair play starts with clearer signals.

Collect device context at onboarding, reward redemption, and other abuse-sensitive moments. Device farms and scripted activity are useful review categories, while legitimate emulation, accessibility tooling, and shared devices require a more nuanced policy. Combine session context with your own gameplay evidence. Start in monitoring mode, audit uncertain flags, and keep enforcement proportional to the evidence. This sample is not an anti-cheat implementation.

Steps
Review bot-like session activitySpot coordinated account patternsProtect rewards and player trust
Gaming use case

What every playbook has in common.

The same four habits keep a fraud policy effective without turning it against real customers.

  1. 01 Check at the moment

    Identify at the action that can be abused, such as signup, login, a claim or a payment, not on every page view.

  2. 02 Verify on the server

    Read the result by request ID with a secret key before acting on it.

  3. 03 Combine the evidence

    One signal is a clue. Several together, on the device and the network, are a reason.

  4. 04 Watch before enforcing

    Record what a rule would have done, measure who it affects, then turn it on with a recovery path.

[ 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.