Project Description

The Challenge

Did you know that fraud is costing organizations $2.1 trillion globally per year?

There’s no question that fraud schemes have become more sophisticated. Fraudsters are constantly finding new ways to manipulate technology. So, to combat fraud, organizations and governments around the world are heavily investing in technologies and resources.

Project Brief

Sampling is no longer good enough. You can’t fully measure the impact of control failures.

Full Data analytics are essential to detect and prevent fraud. It can Automatically search 100% of your transactions for fraud indicators. Quickly identify fraud before it becomes front-page news. Save time by automating repetitive tests.

Data analysis

There are a number of specific analytical techniques that are effective in detecting and preventing fraud.

  • Benford’s Law
  • Trend analysis & time series analysis
  • Ratio analysis
  • Duplicate transactions
  • Even amounts

Conceptual Design Samples

Why choose Defraudit?

100% Data Test

Examine 100% of your transactions so no incident is missed and find fraud before it causes serious damage.

80% Fast Scan

Where Manual process take 200 Min to scan false positives Automation takes less then 3 Min. So that you can spend more time stopping fraud.

100% Anti-Corruption

Streamline your anti-corruption compliance by directly connecting policies and auto monitoring programs.

Artificial Intelligence

Apply advanced analytics and machine learning techniques to identify trends and high-risk activities.

Common Analytics Tests We Perform