Expose the
network behind
the fraud.
Connect the signals. Uncover the patterns.
See the risk hiding in plain sight.
A transaction tells part of the story. GraphShield reveals the relationships that connect it to a bigger picture.
SEE_HOW_IT_WORKSON THE FRONT LINE OF FRAUD
One event.
An entirely different picture.
Fraud actors share infrastructure. Your intelligence should connect it. GraphShield brings fragmented signals together to reveal the network behind a suspicious event.
See the whole network.
Connect accounts, devices, identities, and payments. Find relationships that isolated alerts leave out.
Surface coordinated risk.
Bring graph signals, behavior, machine learning, and business rules into one connected view.
Follow the evidence.
Move from a suspicious event to the entities, timelines, and signals that explain the bigger picture.
The signal is in
the connections.
A new account. A shared device. A familiar beneficiary. Explore how seemingly separate events become a connected investigation.
Illustrative investigation. Every entity is fictional.
Explore the productFraud is a network.
Now you can see it.
Complex relationships.
A clear path forward.
A connected intelligence layer, designed to work with your existing risk infrastructure.
Bring your signals.
Connect account, payment, identity, and device events through an integration scoped to your environment.
Build the risk graph.
Resolve entities and map relationships. Combine graph patterns with behavior and configurable rules.
Act with context.
Route recommendations to the right workflow. Give analysts evidence to investigate, decide, and learn.
Risk doesn’t work in silos.
Neither should your team.
Powerful intelligence.
Considered controls.
Designed with access control, auditability, and data protection in mind. Clear evidence. Human oversight. Security conversations grounded in your requirements.
Our security approach01What is GraphShield?+
GraphShield is a graph-powered fraud intelligence platform in development. It is designed to connect accounts, devices, identities, transactions, and payment signals so risk teams can understand coordinated fraud.
02Why use graph technology for fraud?+
Fraud actors often reuse devices, payment instruments, identities, and counterparties. Graph analysis makes those relationships visible, revealing suspicious networks that isolated event scores can miss.
03Does GraphShield replace our existing fraud tools?+
The platform is designed to complement an existing fraud stack or act as a connected intelligence layer. During a meeting, we can discuss the data, decision points, and investigation workflows that fit your environment.
04Can GraphShield support real-time decisions?+
The intended architecture supports event-based risk scoring for account creation, login, payments, transfers, and payouts. Availability, latency requirements, and integration scope are established during technical evaluation.
05How does GraphShield explain a risk recommendation?+
The product is designed to surface contributing signals, related entities, graph paths, behavioral changes, and rule triggers. AI-assisted explanations support analyst judgment and should be verified against source evidence.
06What happens when I book a meeting?+
We discuss your fraud challenges, data sources, and current workflows, then explore a relevant product walkthrough and evaluation scope. There is no account to create and no payment required to request a conversation.
Find the connections
your fraud stack is missing.
Bring your risk challenge. Let’s map a path forward.