Transform Payment Fraud Prevention into a Growth Lever

Sift analyzes every transaction in milliseconds using global data, real fraud patterns, and expert insight. Stop unauthorized transactions, card testing, and payment abuse with explainable decisions that approve more legitimate customers, protect margins, and drive growth.

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Payment Fraud is a Growth Problem, Not Just a Risk Problem

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Payment fraud spans stolen cards, card testing, alternative payment abuse, and costly disputes. As attacks evolve, broad, one-size-fits-all solutions may cut fraud losses, but often at the cost of lower approval rates, added friction, and lost legitimate revenue. Businesses end up paying twice: once for the fraud that gets through, and again for the real customers they turn away.

$107B

in projected global e-commerce fraud losses annually by 2029

Source: Juniper Research

68%

of consumers say they'd stop using a site after experiencing payment fraud on it

Source: Sift

Built to Catch Fraud Without Slowing Down Growth

Highly-accurate risk scoring.
Real-time scoring in under 150 milliseconds, backed by a Global Data Network of 1 trillion+ annual events and 16,000+ risk signals. Global, cohort, and custom models retrain automatically, so accuracy keeps pace as fraud tactics evolve.

Automation that doesn’t wait on engineering.
A no-code decision engine, workflow simulation, and block and accept lists let teams test policy changes on historical traffic and launch them without a developer. Turnkey integrations with IDV, 3DS, KYC, and AML providers extend coverage without added complexity.

Case management built for investigators.
An intuitive, configurable console gives analysts risk summaries, network visualization, and bulk decisioning in one place. Native integrations connect the tools investigators already use, so cases move from flagged to resolved faster.

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Real Impact for Real Teams

99.4%

acceptance rate

80%

fewer chargebacks

70%

fewer manual reviews

Approve More, Question Less

False declines can cost businesses as much as fraud itself. Highly accurate risk scoring gives teams the confidence to approve more legitimate transactions instead of defaulting to caution.

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Turn Investigations Into Insight

Manual review shouldn’t mean starting from scratch. Risk summaries, top signals, and network visualization help analysts close cases faster and spot patterns they’d otherwise miss.

Scale Without Scaling Your Team

Sift helps fraud programs grow without adding headcount at the same pace. Routine decisions run automatically, so teams spend less time in queues and more time on strategy.

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Keep Learning About Payment Fraud

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See How Sift Stops Payment Fraud

Get a personalized demo showing how Sift detects and blocks payment fraud for your specific business, your transaction flows, and your risk tolerance.

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