Operators: Persistent IDs for Bonus Abuse Detection in 24–72 Hours
Capture deposit to withdraw events, prioritise persistent visitor IDs and cohort signals, and score bonus claims in real time to stop abuse.
Blog / Account abuse
Account abuse
Detect Free Trial Abuse with 100+ Signals for SaaS Teams
Detect free trial abuse without blocking real users. Use auditable signals, progressive friction, and metrics to protect conversion.
Device ban: how to block a repeat offender so the ban survives a new account
A device ban makes a ban stick to the device, not the account, so a banned user cannot walk back in under a fresh email. How it works and how to build it.
How to prevent ticket scalping
What ticket scalping is, how scalpers beat per-person limits with fake accounts, and how the device behind those accounts links them back to one buyer.
How to prevent referral fraud
What referral fraud is, the main types from self-referral to account farming, why it is hard to catch, and how the device behind fake referrals stops it.
How to prevent loyalty fraud
What loyalty fraud is, the main types from points theft to fake-account farming, why rewards programs are targets, and how device signals help stop it.
The 8 best bonus and promo abuse prevention tools in 2026
The 8 best bonus and promo abuse prevention tools in 2026, how prevention works by linking many bonus claims back to one person, and how to choose.
How to prevent bonus abuse in iGaming without an ID gate
How to prevent bonus abuse in iGaming: the signals that reveal one person behind many accounts, how casinos spot multiple accounts, and how to stop it.
Seat sharing in SaaS: how to detect it and turn sharers into seats
How to detect seat sharing in a SaaS product: spotting one paid seat used by a whole team, the per-seat revenue it leaks, and how to convert sharers.
How to prevent gaming fraud: theft, RMT, and multi-accounts
How to prevent gaming fraud: account theft and resale, real money trading farms, cheating and smurfing, and the device signals that link the accounts.
How to prevent marketplace fraud: types, signals, and the actor behind them
The main types of marketplace fraud, from triangulation fraud to seller and buyer scams, and how reading the device behind each account links the ring.
The 8 best free-trial abuse prevention tools in 2026
The 8 best free-trial abuse prevention tools in 2026, how prevention works by linking many trial signups back to one device, and how to choose.
How to prevent refund and return abuse
How to prevent refund and return abuse: the multi-account refund-ring slice you can detect, how it differs from wardrobing and chargebacks, and how to read it.
How to prevent coupon abuse (and tell it from coupon fraud)
How to prevent coupon abuse: what separates it from coupon fraud and everyday couponing, and how merchants catch one shopper using many accounts.
The 8 best new-account fraud detection tools in 2026
The best new-account fraud detection tools for 2026, how signup-fraud detection links many fake accounts back to one device, and how to choose the right layer.
How to prevent Sybil attacks: catching one actor behind many identities
How to prevent Sybil attacks: the defenses at the protocol and application layers, and how to catch one actor running many wallets at the frontend.
How to prevent bonus, promo, and coupon abuse: a detection playbook for developers
How to prevent bonus, promo, and coupon abuse: the mechanic behind it, the signals that flag an abused offer, and how to score a claim before you credit it.
Trial farming and credit farming on AI products: how one operator drains your free credits
What trial farming and credit farming mean on an AI product, not the gaming kind: how one operator drains free compute credits, and where it is caught.
How to detect fake reviews
What review fraud is, the main types of fake reviews, why the text alone won't catch them, and how the device behind a review ring gives it away.
Free-trial abuse vs API-key abuse vs rate limiting: which layer stops what
Free-trial abuse, API-key abuse, and rate limiting get blamed for each other. Which layer stops what for an AI API, who owns each fix, and where the gap is.
How to prevent promo abuse in ecommerce
How to prevent promo abuse in ecommerce: the tactics behind discount farming, the signals that flag it, and how to score a redemption before you grant it.
How to prevent free-trial abuse in AI companies: a developer's guide
How AI companies prevent free-trial abuse: the credit-farming economics, the signals that expose a farmed signup, and how to score it at the API.
How to stop new-account fraud at signup
How to stop new-account fraud at signup: the abuse-and-evasion kind, why email checks and CAPTCHA miss it, and how to score a registration before it exists.
How to prevent free-trial abuse without losing real customers
How to prevent free-trial abuse: what it costs you, the signals that flag a recycled trial, and a playbook to stop it at signup without blocking real users.
How to prevent affiliate fraud
What affiliate fraud is, its main types from cookie stuffing to fake leads and self-purchases, and how the device behind a fake conversion gives the ring away.
How ban evasion detection works: re-identifying returning banned users
How ban evasion detection works: why account-only bans fail, and the signals that re-identify a returning banned user behind a brand-new signup.
Account and offer abuse in ecommerce: a merchant's playbook
The account and offer abuse an ecommerce store faces, why it is not payment fraud, and how to read the device behind each signup without blocking shoppers.
The 10 best multi-accounting detection tools in 2026
The 10 best multi-accounting detection tools in 2026, how detection works by linking accounts to a shared device and network, and how to choose.
How to prevent multi-accounting and stop fraud
How to prevent multi-accounting: detect one person operating many accounts, why IP-based detection fails, and how ready detection stops it.
How to detect account sharing?
How account sharing detection works: counting the distinct devices behind one login, the signals that reveal it, and how to act without false positives.