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INSURANCE

Expose fraudulent insurance claims in just minutes

Your challenge

01.

The total cost of insurance fraud is estimated at over $80 billion per year. A study of global claims fraud found that 3-4% of all claims filed are fraudulent.

02.

There is pressure on insurance companies to react to insurance claims in a timely manner to preserve their customer satisfaction.

03.

Fraudsters are also constantly innovating and exploiting loopholes and vulnerabilities, especially with newer digital channels.

04.

Fraud is not only multifaceted but also overlapping: fraudsters are diversifying and reusing assets for different schemes.

30% faster claims triage

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Easily integrate our solution with your existing fraud detection systems to strengthen your anti-fraud arsenal, accelerate the review of alerts and wipe out false positives

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In a single intuitive interface, get a 360° view of all information linked to a claim including internal data from different lines of business, public data, national databases of known fraudsters, etc.

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Quickly observe the context around the claims, identify anomalies and suspicious activity at a glance and take your investigation to the next level in just a few clicks

Investigate suspicious cases 10X faster

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Visualize the bigger picture around your customers’ insurance claims. Develop more efficient investigation strategies to take relevant, data-driven actions and say “case closed” in no time

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Easily and quickly explore the full context around suspicious claims, identify hidden relationships, and quickly uncover patterns indicative of fraudulent activities to stop fraudsters in their tracks - no matter how they hide

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Empower investigators to work smarter, foster collaboration and get the most out of your anti-fraud teams to streamline insurance fraud investigations

Expose up to 20% more fraudulent activity

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Precisely identify even the most sophisticated insurance fraud schemes involving complex fraud techniques and organized fraud networks

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Fake car accident fraud, catastrophe-related property fraud, health insurance fraud: leverage the flexibility and versatility of Linkurious' technology to investigate a variety of insurance fraud patterns across your different lines of business

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Customize the platform based on the specifics of your insurance business and easily adapt to evolving threats to keep up with sophisticated fraudsters

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Our Solutions

Anti-fraud

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Financial Crime

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Anti-money laundering

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We're making a difference

BforBank stops 20% more fraud cases

BforBank switched to Linkurious Enterprise to build a 360° view of its customer data. In the process, BforBank increased the number of identified fraud cases by 20% and increased the speed of investigations by 10X.

Zurich Insurance reduces fraud case triage time an average of 30%

Learn how Zurich Insurance uses the power of graph visualization and analytics for insurance claims fraud prevention.

How it works

On-premise or in the cloud, real time or batch, scale to billions of nodes and edges - Linkurious Enterprise has you covered.

Discover Linkurious Enterprise
Identify relevant data sources

Leverage existing internal (KYC, transactions, scoring) and external data (PEP, watchlists, company registries), no matter where it’s coming from.

1
Turn your data into a graph

Direct compatibility with Neo4j and Azure Cosmos DB. Use graph analytics and machine learning to fuse multiple data sources into a single unified source of truth.

2
Identify anomalies

Leverage pre-built alerts or build your own graph queries and ML models to identify suspicious activities.

3
Give access to your team

Compatible with LDAP/Active Directory, SSO (Azure AD, SAML2). Ability to manage fine grained access rights.

4
Set up your investigations

Customize the user interface based on the specifics of your data and use case. Embed new capabilities into existing tools via a REST API.

5

The Insurance Fraud Handbook: Connecting the dots to detect fraud

Rethinking how we approach anti-fraud is crucial to counter evolving fraud schemes without being drowned in data. This handbook details how leading insurers are reinforcing anti-fraud programs with the help of graph technology.

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