Graph

Catch more fraud with less effort. Quickly spot links between risky accounts to better identify fraudsters and repeat offenders.
Identify hidden clusters of risky users

Analyze verification data alongside a robust library of risk signals to surface connections between user accounts — even those multiple hops away.

Explore your data your way

Quickly search for patterns or anomalies within clusters of accounts.

Block fraudsters

Ban fraudsters or entire fraud rings through automated decisions or a single click-and-drag. Plus, trigger other followup actions.

Trusted by startups & the world’s largest companies

Key features

Surface connected risky accounts fast with link analysis

Configure queries based on degrees of connection, node limits, and matching logic.

Import data and automatically create link analysis models for the properties that matter to your business (e.g., crypto wallet addresses and credit card numbers).

Choose how you get insights — export cluster views, export lists of accounts with fraud tags, or connect Graph data to other internal systems.

Save and compare historical query results to understand how fraud clusters grow over time.

Incorporate Graph into workflows to run real-time checks and proactively block fraud rings.

Empower your team to conduct real-time fraud investigations using a visual explorer — no engineering required.

How teams can use Graph

“It's not enough to retroactively examine fraud patterns after the damage has already been done. The biggest advantage of Graph is that we can proactively block fraud incidents before they happen with automated decisioning. So we're going from reactive to proactive.”

David Kim
Compliance manager at nWay
nWay decreases chargebacks by 80% and proactively blocks linked accounts with Persona Graph & KYC solutions