When a fraudster can buy a $20 identity to claim a $100 sign-up bonus, every fake account is profit. Arkose Titan flags high-risk sign-ups in real time so you can pull the bonus before it pays out, while real new customers and trusted AI agents claim offers without friction.
If the bonus pays more than the identity costs, fraudsters will keep coming back.
Bonus abuse, also called promo abuse or multi-accounting, happens when fraudsters create fake or synthetic accounts to claim sign-up bonuses, welcome offers, free trials, referral rewards and loyalty perks meant for new customers. The math is simple: if a $20 identity unlocks a $100 bonus, every account clears $80 in profit, so operators scale up with bots, AI agents and purchased identities.
Every fraudulent claim inflates acquisition costs, distorts growth metrics and takes value from real customers. Stopping it means recognizing the operator behind the accounts, not judging each sign-up on its own.
Arkose Titan shares real-time risk signals at sign-up so you can withhold bonuses from high-risk accounts. Once the payout disappears, so does the incentive.
Genuine first-time customers claim offers without friction, and you set the rules for which AI agents can sign up on their behalf.
Nearly 1,000 detection signals, including device and behavioral data, tie seemingly new sign-ups back to the same person before a bonus is paid out.
Proof-of-Work and AI-resistant challenges escalate with risk, so farming one-time bonuses costs more than the reward is worth.
Network-wide fraud signals keep your defenses up to date as bonus abuse tactics move across industries.
Bonus abuse happens when the same person creates multiple fake accounts to repeatedly claim a sign-up bonus, welcome offer or other one-time promotion meant for new customers.
Promo abuse is the broader category of exploiting any promotional offer, while bonus abuse specifically refers to using multiple fake identities to claim the same one-time bonus over and over.
Arkose Titan analyzes signals such as device and behavioral data to link seemingly new accounts back to the same operator, then applies escalating, resource-draining defenses before a bonus is ever paid out.
The strongest solutions link scattered "new" accounts back to a single operator rather than judging each account in isolation. Arkose Titan does this with nearly 1,000 detection signals and escalating defenses that make repeat bonus claims too costly to run at scale.
Yes. Attackers can use AI agents to automate sign-ups and claim bonuses at scale, while other agents sign up on behalf of real customers. Arkose Titan identifies AI agents at sign-up so you can decide which to allow and which to block.
Defend sign-up bonuses, referral programs and loyalty rewards against multi-accounting, fake identities and promo code abuse.
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