Fraud Intelligence

JDG Fraud Intelligence facilitates the planning of risk management strategy. It generates fraud intelligence by monitoring, collecting and analysing the fraudulent behaviours on the network and assists in offering practical and successful solutions of preventing fraud, achieving compliance, and preserving security.

Old school fraud detection

  • Possibility of blocking genuine users The usage of overwhelming rules tends to cause the high rates of incorrect determination of positive result, which may screen genuine applicants.
  • Latency in updating Rules can become invalid when the fraudulent acts changes or updates, which happens often.
  • Heavy maintenance burden The rules-dominated method has a very high requirement of the expansion of the database as the fraud evolves, which demands manual operations, thus resulting in a high cost of time and workforce.

Improving fraud detection with models and rules

A single static rule system is usually limited by fixed thresholds, but a machine-learning system can understand the change of the ideal value for threshold from the data and adapt. Although machine learning has delivered a considerable upgrade to fraud detection systems, it doesn’t mean you should give up using rules completely. An effective anti-fraud strategy should incorporate the benefits of machine learning technology and still include some rules that make sense.

How does JDG Fraud Intelligence work ?

  • ma_Frasec31lid1.png
    Gathering finance-related information

    Show More

  • ma_Frasec31lid2.png
    Analysing applicant's online behaviour

    Show More

  • ma_Frasec31lid3.png
    Calculating the real-time rate of fraud

    Show More

  • ma_Frasec31lid4.png
    Discovering the similarity

    Show More

  • ma_Frasec31lid5.png
    Session tracking

    Show More

  • ma_Frasec31lid6.png
    Entity dynamic analysis

    Show More

  • ma_Frasec31lid7.png
    Creating a derived network

    Show More

  • Gathering finance-related information

    Gather information from transactions, orders and banking status to predict fraud.

  • Analysing applicant's online behaviour

    Analyse applicant's behaviour such as ordering time and browsing time on the website.

  • Calculating the real-time rate of fraud

    Give the real-time rate of fraud via categorical data. It is particularly beneficial for market expansion.

  • Discovering the similarity

    Compare the similarity of a customer's individual information today with the past.

  • Session tracking

    Extract and record genuine customer behaviour when making payments.

  • Entity dynamic analysis

    Analyse entity-related information to alert fraud attack. For example, analyse the orders' quantity of a specific IP-address.

  • Creating a derived network

    Build a derived network to enhance customer data, and enables its users to manage high-risk transactions, share data, and gain intelligence from fraud analysis.

Using JDG Big Data to improve fraud detection
ma_Frasec31lid1-19.png

AI-based data collection

ma_Frasec41lid2.png

Preprocessing

ma_Frasec31lid7-323.png

Modelling

ma_Frasec41lid4.png

Evaluating

ma_Frasec41lid5.png

Deploying

ma_Frasec41lid6.png

Monitoring

Combining AI-powered technologies of text analytics, machine learning, predictive analytics, data mining, statistics and natural language processing, it offers a strong and reliable data-driven solution to prevent fraud.

Use scenarios

function-image

Customer acquisition

Improve profitability while decreasing costs.

function-image

Customer management

Provide a suitable product and service to customers with different business purposes.

function-image

Risk management

Enhance decision-making process and optimise portfolio management and risk decisions.

function-image

Joint Modelling

Prevent fraud attack and monitor fraud trends.

function-image

Debt collection

Reduce debt recovery cost and maximise the returns.

function-image

Telco credit evaluation

Evaluate credit status based on telecom behaviour.

What makes JDG Fraud Intelligence different?

Mass database

JDG.AI's cross-platform database provides risk prediction from multiple dimensions for various business scenarios.

Reliable technology

JDG AI's big data service provides stable data resources and reliable data analysis to assist in risk management.

High coverage

Provide data-driven technical support to various industries and optimise user experiences based on the business requirements of Southeast Asian users.

Professional team support

Professional expertise is offered to customers from our top experts.

Read on

Deployment options

Customize solutions to meet the demands of your workload.

Digital Identity Verification solution

Help solve business problems and prevent fraud.

Digital Identity Verification in our lives

Discover how JDG Digital Identity Verification benefits our daily life.