Where Ekata gives you signals, Elephant gives you certainty. Most identity tools stop at whether a signal exists. Elephant goes further, linking signals across 5 billion identities to uncover who's real, even in regions where data is thin.
Signals you’ve never seen, context you’ve never had
Correlate email, IP, and address--even when individual signals return blank--to reveal who's real with confidence.
Coverage that performs, even in thin-data regions
Built on an industry-leading 5 billion identities, out signals deliver context, not just presence.
Scoring that evolves as fast as fraud
Power decisions with real-time Trust Scores that adapt to every signal change, no batch updates or retrains required.
Decisions your team can trust in milliseconds
Deliver sub-200ms responses with clear, explainable signals analysts understand on day one, no black boxes or guesswork.
An ecommerce platform used Elephant’s trust scoring to boost fraud precision by 23%, sharpening detection while reducing the drag of manual reviews.
Avoid overblocking good users or legitimate payments in low-visibility regions with broader identity context and clearer risk signals.
Surface fraud risk early by identifying risky combinations of identity signals to support confident decisioning at onboarding, checkout, or anywhere risk matters.
Replace patchwork logic and localized tools with a unified identity trust layer that works everywhere.
By optimizing trust-based decision thresholds with Elephant, a global marketplace increased approval rates by 20 points, unlocking $27.2 million in new revenue through smarter trust.
An ecommerce platform used Elephant’s trust scoring to boost fraud precision by 23%, sharpening detection while reducing the drag of manual reviews.
A global social platform doubled its identity validation accuracy with Elephant, making it significantly harder for fake accounts to slip through at signup.
A global brand improved decision accuracy by 35% using Elephant's calibrated trust scores, cutting reliance on outdated risk signals and modernizing its fraud stack.
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