Understand how risk connects across your business
Banking

Understand how risk connects across your business

Bring data sources together to understand customers, reveal hidden connections, investigate complex cases, and support confident decisions across risk, compliance, security, and operations.

Challenges

You're accountable for risks that your tools can't see.

AML, fraud, and compliance teams depend on connected information to manage risk. When customers, accounts, transactions, and third parties are analyzed in isolation, critical signals go undetected and decisions take too long.

Risk is hidden in relationships

Risk is hidden in relationships

Money laundering, fraud, and sanctions evasion rarely involve a single actor.They often emerge across networks of connected entities, making it difficult to detect when analyzing data and events in isolation.

Legacy systems weren't built for connected risk

Legacy systems weren't built for connected risk

Banking data sits across dozens of disconnected systems—and traditional tools can't bridge them. Designed for structured queries and individual records, they break down when risk spans thousands of interconnected entities, accounts, and transactions.

Alerts create volume, not insight

Alerts create volume, not insight

Rule-based systems generate large numbers of alerts but provide little context, forcing teams to investigate noise instead of understanding broader patterns and cases.

Manage risk without slowing business

Manage risk without slowing business

Banks must manage risk without disrupting operations, while providing auditors and regulators with clear evidence that effective controls are in place.

Use cases

Linkurious adapts to your needs

Financial Crime

Financial Crime

AML Compliance

AML Compliance

Counter-fraud

Counter-fraud

Cybersecurity

Cybersecurity

Network & IT operations

Network & IT operations

Knowledge graphs

Knowledge graphs

Benefits

Detect more risk. Investigate faster. Stay in control.

Get the full picture, investigate complex networks faster than ever before and make confident decisions without waiting days for answers.

One connected view of your entire risk landscape

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Unify internal and third-party banking data into a single, connected view. Reveal the hidden relationships and key connections that siloed systems keep out of reach.

Say goodbye to alert fatigue

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Graph-based contextual analytics reduce false positives and surface meaningful patterns across AML, fraud, and cybersecurity cases. Spend less time on triage and more time mitigating real risk.

Get answers 10× faster

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Use natural language and graph analytics to build custom queries and cut through complexity, surface key insights, and expose even the most sophisticated schemes in minutes, not days.

Investigate networks without friction

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Explore millions of data points through intuitive, interactive visualizations built for complexity. Unlike traditional tools, Linkurious stays fast and intuitive as cases scale—so analysts and investigators can follow every connection, however deep the network goes.

Fits your environment. Scales with your needs.

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Add Linkurious to your existing tools without disruption. Connect to your systems via API, choose on-premise or cloud deployment, and protect sensitive data with enterprise-grade authentication and access controls. Built to grow with you — more users, more data, more complexity — without compromising performance.

Discover Linkurious Decision Intelligence Platform. Powered by Graph Technology.

A modular platform for smarter, context-driven decisions.

Looking to embed graph visualization capabilities in your banking platform?

Looking to embed graph visualization capabilities in your banking platform?

Ogma is a high performance JavaScript library designed for large scale graph visualizations. It gives developers control over performance and user experience without starting from zero.

We're making a difference

BforBank detects and investigates fraud faster with Linkurious

Learn how BforBank's compliance unit is dismantling check fraud rings with a bank fraud solution relying on graph technology.

Threat modeling at Lloyds Bank: Mitigating cybersecurity risks with graph analytics

Learn how Lloyds Bank uses graph analytics to uncover hidden threats and strengthen cybersecurity defenses.

Ria Money Transfer reduces investigation time for complex cases by 80%

Discover how Ria Money Transfer has strengthened their anti-money laundering investigation capabilities resulting in faster investigations and the ability to better meet regulatory expectations.

They made the leap forward

"We are able to identify patterns and ramifications of unusual transactions that were impossible to achieve with a traditional approach. Furthermore, when we repeat an analysis executed before having graph technology, we find additional connections that we missed on the first analysis.”
Miguel AguadoCompliance Director Asia Pacific, Ria
“After a couple of months of use, the risk and compliance unit was able to detect several dozens of fraud cases and unveil complex fraud rings involving several fraudsters. Today, we use Linkurious technology to carry out daily investigations as part of the fight against bank fraud, first-party fraud and money laundering.”
Alexandre DressayreCompliance Officer, BforBank
“Linkurious can really help organizations to refocus their resources on high-value operations and spend more time on actual investigations.”
Christophe da SilvaDirector of Data Analytics and eDiscovery, Deloitte Switzerland

Ready to investigate smarter and act faster?

Join leading banks using Linkurious to stay ahead of threats, close complex cases faster and increase operational efficiency.

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