The Fraud Explorer

A technology based on Natural Language Processing (NLP) developed to identify opportunity, pressure, and rationalization situations in the corporate environment

Fraud Triangle Analytics

With The Fraud Explorer, organizations are equipped with the ability to increase their revenues

Early Detection
With the client-server architecture, similar to an anti-virus, our technology allows alerts to be generated in real time
Artificial Intelligence
Our system emulates the deductions of a Certified Human Expert in corporate Fraud Examinations
Data in High Speed and Volume
We process thousands of data per second and store millions per day with our clustered infrastructure
Fraud Triangle Theory
All our technology is based on a theory, Donald Cressey’s Fraud Triangle

CHALLENGE SOLUTION ACTION

CHALLENGE

According to ACFE, the average fraud case goes undetected for a period of twelve months. With the introduction of Artificial Intelligence, it is now possible to gain insights into fraud trends, and focus on departments which pose a risk to the organization

Corruption: conflicts of interest, bribery, illegal gratuities
Misappropriation of assets: theft of cash, fraudulent disbursements
Financial fraud: intentional manipulation of financial statements
Corporate abuse: waste, defamation, toxicity

SOLUTION

Proactively identifying financial needs, perceived opportunities, and rationalization of endpoint in the workplace to prevent and early detect fraudulent activities in the organizations

Pressure: the potential gains and events that push an individual to commit fraud
Opportunity: the ability to commit fraud quickly and safely
Rationalization: the internal verbalization to see themselves as honest people
Arrogance: the attitude of superiority and the perception of being above the law

ACTION

Our AI technology allows you to proactively action risks mitigators where internal controls were overridden or missing

Control end points by department or business units
User friendly report with data aggregations
Real threats vs minimum red-flag false positives
Full time monitoring with real time analytics

CHALLENGE SOLUTION ACTION

CHALLENGE

According to ACFE, the average fraud case goes undetected for a period of twelve months. With the introduction of Artificial Intelligence, it is now possible to gain insights into fraud trends, and focus on departments which pose a risk to the organization

Corruption: conflicts of interest, bribery, illegal gratuities
Misappropriation of assets: theft of cash, fraudulent disbursements
Financial fraud: intentional manipulation of financial statements
Corporate abuse: waste, defamation, toxicity

SOLUTION

Proactively identifying financial needs, perceived opportunities, and rationalization of endpoint in the workplace to prevent and early detect fraudulent activities in the organizations

Pressure: the potential gains and events that push an individual to commit fraud
Opportunity: the ability to commit fraud quickly and safely
Rationalization: the internal verbalization to see themselves as honest people
Arrogance: the attitude of superiority and the perception of being above the law

ACTION

Our AI technology allows you to proactively action risks mitigators where internal controls were overridden or missing

Control end points by department or business units
User friendly report with data aggregations
Real threats vs minimum red-flag false positives
Full time monitoring with real time analytics

Innovation

From the start, we work in tandem to proactively anticipate, prevent, and detect fraudulent activity

Methodology

The 3 miracles that make us different and more effective

Human Behavior Database
The largest dataset of fraud cases

A huge database with fraud use cases from different countries.

How was the database built?

Different anthropologists from Germany, the United States, Spain and Latin America, as well as Expert Fraud Examiners, have met and built the largest semantic fraud database in the world. They collected human expressions used by perpetrators when they intend to commit a dishonest act.

Artificial Intelligence
The machine understands humans

Artificial intelligence is based on natural language processing

How does the machine understand what humans speak?

The machine receives the semantic data from the corporate communications and through a Bayesian algorithm, an expert system based on B-trees and a generative neural network tries to decipher the meaning of the conversation, relying on the knowledge database previously provided by anthropologists and Fraud examiners experts.

Early Fraud Alerts
Based on the Fraud Triangle

The Fraud Explorer uses unique technology to generate inferences that allows for a faster and more accurate analysis of red flags

How is real time possible?

Through the software agents that we have designed for Windows, Linux, Mac, Android and Asterisk, our methodology is capable of monitoring human interaction with more than 100 applications in real time. If one of these interactions is suspected of fraud, the system sends the alert immediately.