Fraud

Procurement fraud: 5 common schemes and how to investigate them

Procurement fraud is the manipulation of a procurement process. How can new technology help better detect these schemes?

Digital forensics investigations: Analyzing the data behind complex criminal schemes

How investigators can better leverage data analytics for faster, more efficient forensic investigations

The threat within: New approaches to internal fraud detection & investigation

Internal fraud, also called insider fraud, poses a threat to organizations of all sizes. Leveraging graph technology can be a game changer.

Confronting the risky side of AI: Applying graph technology to generative AI fraud detection

Generative AI tools have proven to be an asset for bad actors. Track down these schemes with graph technology.

Transforming social benefits fraud detection & investigation: how a French agency leverages advanced technology

New technology like graph and artificial intelligence fostered more efficient benefits fraud investigations.

Dynamic duo: Fraud detection with machine learning and graph technology

By layering in graph technology, you can effectively improve your machine learning algorithms to enhance your fraud detection capabilities.

Detecting synthetic identity fraud using graph technology

Why have criminals been getting away with synthetic identity fraud and how can new technologies help fight back?

Detecting account takeover fraud: the graph technology advantage

Account takeover fraud is especially difficult to detect. What are the most common ATO schemes and how can graph analytics help fight back?

Linkurious joins forces with Nuix to unleash the power of integrated link analysis for unstructured data

Linkurious and Nuix team up to deliver an integrated network link analysis solution for unstructured data combining AI, NLP and graph.

Building an end-to-end decision intelligence solution: expert insights on how to tackle financial crime head-on

A modular decision intelligence solution with entity resolution and graph technology can empower you to better mitigate financial crime risk.

Linkurious and Aptitude Global partner to deliver a cost effective financial crime solution

Linkurious & Aptitude Global join forces to deliver a cutting edge and cost effective financial crime solution to uncover complex networks

How to build a scalable entity resolution solution for financial crime

A powerful entity resolution solution will deliver a more accurate understanding of context and help in spotting potential risks.

How to choose a detection and investigation solution for financial crime

The right financial crime detection and investigation solution can help manage key challenges and improve efficiency. How should you choose?

Forensic data analytics: new technology for financial crime investigation and risk management

Forensic data analytics emerges as a game-changer in the fight against financial crime. Discover its role in risk management and more.

Buy now, pay later fraud: Improving detection & investigation

BNPL is growing rapidly - and attracting fraudsters. Here's how to better detect & investigate synthetic identity fraud, ATO attacks, and more

Digital banking fraud: detection and investigation best practices for online banks

Online banks face particular fraud challenges. Here are best practices for digital banks to detect and investigate suspicious activity.

3 types of new account fraud and how technology can help you beat them

Sometimes a fraudster opens a new account with criminal intentions. Here's how to beat new account fraud with the help of technology.

Enhancing insurance fraud investigation with graph analytics

Insurance fraud investigation is high-stakes work. What solutions can graph technology offer to improve the process?

InsurDay 2021: reinforcing your arsenal to combat organized insurance fraud

In a context where organized insurance fraud is constantly evolving, what solutions are there for better detection and investigation?

Fraud use cases for graph analytics

Keeping track of constantly evolving fraud threats is a major problem for business leaders. But graph analytics can be a game-changer.

Financial institutions face increased challenges as COVID-19 fraud cases continue to rise

As the world adjusts to a new reality of COVID-19, the financial behavior of consumers around the world is shifting.

VAT fraud: the mysterious case of the missing trader

VAT fraud, or carousel fraud, can be very hard to detect. Here's how new technology makes the job easier.

Fraud detection with graph analytics: 3 use cases

How can graph analytics help you connect the dots to quickly detect credit card fraud, insurance fraud, or VAT fraud?

Stolen credit cards and fraud detection with Neo4j

Use case credit card and fraud detection and how to use Neo4j and graph visualization to uncover a stolen credit card scheme.