Connected risk.
Built into your flow.
Give your risk stack relationship context at the decision point. Design an integration around your events, policies, and operational requirements.
Book a meetingYour events already tell a story. Connect them.
Account services, authentication systems, and payment pipelines each see a different part of the customer journey. A common entity model makes that fragmented context useful for fraud decisions.
Model the right entities
Map account, device, identity, and payment identifiers into a relationship model that reflects your business.
Separate signals from policy
Use structured risk context alongside your own decision rules. Keep failure handling, fallbacks, and human review explicit.
Keep decisions inspectable
Carry event references, contributing signals, and policy versions into the downstream investigation workflow.
What context
makes possible.
A payout service sends account, device, and beneficiary references. A risk response highlights a shared device cluster. Your policy routes the payout to review while preserving the event context for an analyst.
Fictional scenario. Workflows and availability are scoped during evaluation.A clearer path for engineering.
Map
Identify events and stable identifiers at login, payment, transfer, and payout.
Evaluate
Test graph signals against labeled historical examples and operational constraints.
Integrate
Agree on response contracts, authentication, retries, and monitoring before production rollout.
Find the connections
your fraud stack is missing.
Bring your risk challenge. Let’s map a path forward.