Legacy identity systems rely on static scores, stale signals, and brittle rules, and it shows. They flag legitimate users, over-escalate edge cases, and fall behind as fraud patterns shift. Elephant is different. We operate a real-time graph of 5 billion identity profiles, scoring every interaction with adaptive models tuned to your risk posture, and updating 2 billion signals a day to keep decisions current.
So you can move faster, approve more trusted users, and reduce the drag on review operations.
We track how identity signals behave together, over time, across devices and networks, and in unfamiliar contexts, to surface patterns that rule-based or point solutions miss.
With 5 billion identity profiles across every region you serve, no one sees more. Recognize real users instantly, even when data is sparse or you’ve never seen them before.
Our trust scores aren’t static; they calibrate to your industry, regions, and risk posture. That means you approve more trusted users without increasing exposure.
Fraud evolves fast, but our signal layer moves even faster, refreshing daily to reflect the latest behavioral patterns and attack surfaces globally.
Elephant is built for privacy from the ground up. Our platform meets the highest international standards for data protection, including SOC-2, GDPR, and CCPA.
We connect 5 billion identities, real-time signals, and adaptive trust scoring to deliver visibility where other providers see blanks, noise, or false flags.
No more stitching together local vendors or mapping inconsistent formats. Get normalized identity signals through a single API, so you can write logic once and trust it globally.
Elephant is privacy-native by design, enabling global expansion with less compliance friction and reduced long-term data exposure.
Legacy systems deploy static models, but we retrain daily, processing 2 billion signals to keep scoring aligned with region-level shifts, behavioral patterns, and your evolving risk posture.
