Trust API delivers Elephant's risk assessment at the moment of decision. Identity, behavioral, and device signals are evaluated as one connected picture, calibrated to the environment's fraud patterns rather than a generic baseline.
Every score ships with 50+ customer-facing signals and reason codes, so every decision is explainable. Millisecond, stateless delivery lets Trust API deploy into live workflows without adding operational complexity.
Trust Device captures device fingerprint, behavioral signals, and session context the moment a session begins, then answers what device tools alone can't: does this device belong to the person claiming to use it, verified against an identity graph of 5 billion profiles.
That context reaches Elephant alongside the transaction, unmasking emulators, bot farms, and spoofed environments while recognizing trusted customers, even on a first visit. The result is a score that catches fraud, and trust, that transaction data alone would miss.
On escalation, Trust Insights surfaces the reasoning behind every Trust output: the resolved identity and its connections, the signals behind each risk score, and the patterns surfaced by Trust Monitoring.
Analysts work from context already in front of them rather than reconstructing cases. Work that used to mean digging now closes in seconds.
Trust Monitoring runs continuously across your account base, tracking behavioral and device signals across accounts and sessions.
Velocity spikes, cross-account activity, and AI-orchestrated patterns surface at the account level before they appear in individual transactions. Findings flow into Trust Insights, so teams act before coordinated fraud compounds.
