+INPUT
Ingest the signals
Start with account events, transactions, authentication records, device signals, and known outcomes.
+account.created · login.attempted · payout.requested
+02 / HOW IT WORKSGS / INTELLIGENCE LAYER
From fragmented signals
to connected intelligence.
One continuous workflow: connect data, understand relationships, surface risk, and put the evidence in the hands of your team.
Book a meetingGRAPHSHIELD
GRAPH + AI + RULES
YOUR DECISIONSGRAPH + AI + RULES
+CONTEXT
Resolve the entities
Connect identifiers across systems while retaining source evidence and the uncertainty of inferred matches.
+Account ↔ Identity ↔ Device
+RELATIONSHIPS
Build the graph
Represent entities and their relationships as an evolving network with event and time context.
+shares_device · paid_with · transferred_to
+SIGNALS
Generate intelligence
Evaluate network structure, behavioral changes, anomalies, and policy conditions together.
+Shared infrastructure · Cluster growth · Payment reuse
+OUTPUT
Recommend a decision
Return interpretable risk context for your policy to route into allow, review, challenge, hold, or block workflows.
+Risk level + Recommendation + Contributing signals
+FEEDBACK
Investigate and learn
Review connected evidence, document analyst decisions, and use confirmed outcomes to inform evaluation.
+Evidence → Review → Outcome → Evaluation
+07 / BUILT TO FIT
Explore integration patternsKeep your infrastructure. Add context.
An integration can be scoped as an investigation layer, an event-scoring workflow, or a source of graph intelligence for your existing fraud stack. Architecture and performance requirements are agreed during evaluation.
+MAKE THE CONNECTIONFind the connections
Book a meetingFind the connections
your fraud stack is missing.
Bring your risk challenge. Let’s map a path forward.