Fraud attacks differently
by industry

Card fraud at a bank looks nothing like synthetic identity fraud at a marketplace. Detectiv adapts its detection models and thresholds to the specific attack patterns your industry faces.

First-party fraud is now
the bigger problem

Card-present fraud has dropped as EMV chip adoption matured. The growth is in first-party fraud - customers disputing legitimate transactions, or using account opening bonuses before closing the account. Detectiv's models distinguish genuine theft from manufactured disputes.

62%
reduction in card fraud losses
3.1x
improvement in dispute win rate
41ms
median scoring latency
Banking fraud detection dashboard

Promo abuse costs more
than chargeback fraud

Card fraud gets all the attention, but for most e-commerce merchants the larger loss is coupon stacking, refund abuse, and account bonus farming. Detectiv tracks promo consumption alongside payment behavior to flag these patterns before they scale.

$2.1M
avg annual savings per merchant
0.8%
false positive rate vs 2.4% industry avg
E-commerce fraud prevention dashboard

The faster payments move,
the faster fraud follows

Real-time payment rails give fraudsters a narrower window but a clean escape: once funds move, recovery is rare. Detectiv's sub-50ms scoring fits within the authorization window on every major real-time payment scheme.

Fintech identity verification dashboard

Synthetic identities start
with a clean application

Insurance fraud often begins at onboarding - a fabricated identity that builds a claims history over time. Detectiv's identity graph analysis flags the construction of synthetic profiles at the application stage, before the first premium is even collected.

Insurance claims fraud dashboard

Detectiv adapts to your industry's threat model

Tell us what you're fighting. We'll show you how our models approach it.

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