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Considering Ekata? See why top fraud teams choose Elephant

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. 

Ready to unlock the power of trust for your team? Let’s get started.

See how Elephant compares to Ekata

Global Coverage
Signal Correlation
Data Transparency
Model Adaptiveness
Real-time Speed & Reliability

Elephant

Global Coverage
Global identity depth across 5 billion profiles, refreshed daily for accuracy and no regional blind spots
Signal Correlation
Links signals across identity layers to detect synthetic fraud and risky combinations, especially when signals look clean in isolation
Data Transparency
Clear, explainable scoring with traceable signal logic and visual connection graphs for analyst review
Model Adaptiveness
Continuously retrained AI models to reflect evolving fraud patterns with no rules to rewrite or retrains to schedule
Real-time Speed & Reliability
Responds in under 200ms with full decision processing, not just signal lookups, so you can move fast

Ekata

Global Coverage
Reported gaps in LATAM, APAC, and Canada means missing data when it matters most
Signal Correlation
Scores signals independently with no behavioral or cross-signal context, so risk patterns go undetected
Data Transparency
Limited source visibility; scores lack context or explanation so it's hard to interpret and harder to defend
Model Adaptiveness
Static scoring model that doesn't evolve unless manually updated or tuned
Real-time Speed & Reliability
Fast API response, but limited to basic checks (e.g. "email seen before") with minimal decision depth

What is Elephant's Trust API?

Trust API is our real-time scoring solution built for product, engineering, and fraud operations teams. It connects identity data across public, private, and behavioral sources to deliver a single trust score that scales globally and adapts locally, so you can automate confidently without sacrificing accuracy.

Approve new users and purchases faster

An ecommerce platform used Elephant’s trust scoring to boost fraud precision by 23%, sharpening detection while reducing the drag of manual reviews.

Reduce false declines, especially in emerging markets

Avoid overblocking good users or legitimate payments in low-visibility regions with broader identity context and clearer risk signals.

Assess high-risk activity at scale

Surface fraud risk early by identifying risky combinations of identity signals to support confident decisioning at onboarding, checkout, or anywhere risk matters.

Streamline global decisioning logic

Replace patchwork logic and localized tools with a unified identity trust layer that works everywhere.

The proof is in the power of our results

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.