Automate low-risk decisions so analysts focus on real threats.
Approve genuine first-time and international customers, even without purchase history.
Remove unnecessary verification steps that stall checkout.
One call. One score. The reasoning behind it.
No new forms or data collection required.
1,000+ signals across 5B+ identities reveal connections and inconsistencies.
Machine Learning Model
Adaptive AI + 1,000 signals
Get a Trust Score, reason codes, and signals that show why.
Low Latency 200ms High Availability 99.99%
One real-time risk score from 0 to 1,000, mapped to approve, review, or decline at the thresholds you set.
Plain-language codes for what raised or lowered trust, like a disposable email, so analysts review faster.
Separate scores for email, phone, address, and IP show which detail carries the risk.
The evidence behind the score, like email age, breach exposure, disposable domains, and velocity.
How strongly each pair of details links to the same person, so a real customer isn't flagged for a mismatch.
Grow real signups and keep synthetic identities out of your books.
Spot account takeover without adding friction for loyal customers.
Approve more first-time and cross-border orders while managing chargeback risk.
Elephant, our large risk model, checks whether the details in front of you belong to one real person, then shows its reasoning. We don't replace your risk engine; we give it the context to say yes more often.
Certified for global privacy and security standards
