Gift Card Network
60%+
Decrease in human-driven fraud.
Read the Case Study →Human fraud farms use real people on real devices to create fake accounts, take over accounts and abuse promotions, slipping past defenses built only to catch bots. Arkose Titan raises the cost of every fraud farm session until the operation's ROI goes negative, while real customers move through without friction.
A single fraud farm can put hundreds of workers to work at once, running thousands of fraudulent sessions a day.
Fraud farm workers type, click and solve challenges like real customers, because they are real people. Attackers now run hybrid operations where each layer covers the others' gaps: AI agents handle coordination and scale, generative AI manufactures synthetic identities, and human workers complete the steps that require genuine interaction. The fake accounts they create fuel promo abuse, payment fraud and loyalty point liquidation, and they drain acquisition budgets meant for real customers.
When a major cloud computing provider stopped the bots abusing its free trials, fraud farms in three countries took over, attacking nearly 24 hours a day. Arkose Titan served them escalating challenges until they abandoned the effort, and fake account fraud fell more than 95%.
Arkose Titan connects sessions across registration, sign-in and payment and puts compounding costs on every fraud farm worker, so the operation stops paying.
Adaptive, multimodal challenges escalate in difficulty for flagged sessions to collapse fraud farm labor economics, and human solver workers quit on Arkose challenges, attacker-sourced proof the economics work.
Persistent cross-session device identification that tracks worker devices across proxy rotations and browser resets, making each retry more expensive.
40+ signal email risk assessment at registration that flags disposable, bulk-generated and breach-associated addresses — forcing operators to invest in higher-cost identity assets.
Fraud farm signals detected anywhere on the Arkose Labs network protect your platform before operators pivot to it.
We needed a more robust solution; we weren't getting any insights into the data with our old solution. Arkose Labs provided us with custom data and insights that we can share across teams internally.
A human fraud farm is an organized network of real people who manually create fake accounts, pass verification checks and commit fraud at scale, generating authentic-looking behavior that bot detection alone can't catch.
Bot-driven fraud relies on automation and leaves detectable technical signatures, while human fraud farms use real people performing actions manually, producing genuine behavioral signals that can pass right through defenses built only to catch bots.
Arkose Titan targets the economics of fraud farm labor directly, using escalating, resource-draining defenses that raise the cost per attempt until operators move to undefended targets.
The strongest solutions link seemingly unrelated accounts back to the same operator using device correlation, email risk signals and behavioral pattern detection, rather than judging each account in isolation. Arkose Titan does this across sign-up, sign-in and in-platform flows.
Hybrid operations pair human workers with mobile device farms and AI: AI agents handle coordination and scale, generative AI manufactures synthetic identities, and people complete the steps that require genuine interaction. Arkose Titan links these sessions through device, email and behavioral signals, so the hybrid approach doesn't hide them.
The fake accounts they create become infrastructure for promo abuse, payment fraud and loyalty point liquidation. They also drain acquisition budgets and inflate user counts and engagement metrics, leading to decisions built on fraudulent data.
Arkose Titan puts compounding costs on every fraud farm session until targeting your platform no longer pays.
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