The effectiveness of our model

In Production

  • Reduce false positives by leaving and flagging those alerts that are most relevant to our customers and discarding those that do not add value

  • Accurately differentiates a real unethical act from one that appears to be unethical but is not, as its training contains true positives and false positives

  • Explain why came to a conclusion when it deduce that an alert is relevant, thus adding transparency and explainability to the selection process

  • It works in conjunction with the fraud triangle algorithm where the application of both reduces the risk of bias and subjectivity by being strongly aligned

In Training

  • Trained on real data from suspicious, risky, unethical or dishonest internal corporate communications that have been used in the past to detect fraud

  • Trained with more than 10 thousand case studies of real dishonest cases to understand how unethical acts are committed in companies

  • Developed with the best training framework for finetuning LLM models called MLX, created by Apple’s Machine Learning team

  • High-quality training dataset hand-crafted by ACFE and ICPF certified fraud examiners with documented cases and explanations

How FraudGPT works

  • The Fraud Explorer captures corporate behaviors in real time through its agents

  • The fraud triangle algorithm filters out behaviors aligned with Donald Cressey’s theory

  • FraudGPT analyzes the alerts delivered by the algorithm and decides which ones are relevant and which ones are not

Sectors where
has been tested

  • Energy
  • Insurer
  • Health
  • Services
  • Technology
  • Financial
  • Production
  • Retail
  • Food
  • Construction
  • Cement
  • Air
  • Cattle raising
  • Oil & Gas
  • Manufacture
  • Mining
  • Business Holdings

Sectors where has been tested

 • Energy • Insurer • Health • Services • Technology • Financial • Production • Retail • Food • Construction • Cement • Air • Cattle raising • Oil & Gas • Manufacture • Mining • Business Holdings

  • Compliance
  • Cybersecurity
  • Commercial
  • Financial
  • Accountant
  • Catering
  • Personal Data
  • Legal
  • Inventory
  • Operational
  • Psychosocial
  • Technological
  • Data Leak
  • Bribery
  • Corruption
  • Fraud

Trained to
detect risks

Trained to detect risks

 • Compliance • Cybersecurity • Commercial • Financial • Accountant • Catering • Personal Data • Legal • Inventory • Operational • Psychosocial • Technological • Data Leak • Bribery • Corruption • Fraud

How the model is trained

A fraud event is shown to FraudGPT

It is taught to classify it by risks

It indicates the real probability

Explains why it is relevant

I am very worried about the issue of the Superfinanciera, I think that they can open a complicated Pandora’s box for us, there is not much to do because the Super is already on top of it, all that remains is to pray and hope that it is not caught.

Compliance • 81%

The message portrays very suspicious behavior as the person is scared of what the regulatory body might find and prays that they don’t notice anything wrong. According to Donald Cressey’s fraud triangle theory, this person would be under a lot of pressure and could be tempted to hide a dishonest act to avoid being fired.

We almost got caught in the audit because we are not maintaining the supplier risk assessment. We told them we were doing it but we all know our fault, we have to do it as soon as possible.

Providers • 72%

The message presents unethical and dishonest behavior because they are telling lies to the auditor when he asks them about the supplier risk matrix. According to Donald Cressey’s fraud triangle theory, this person would be justifying his lies to protect his job and not be fired, putting the organization at great risk.

I find it incredible that we have not had any problems with the regulator in the past because of this. I find it very serious that we are manipulating these figures. If they find out, our entire business will collapse.

Manipulation • 89%

The message presents a very risky, dishonest and fraudulent behavior because the person is acknowledging that there is manipulation of financial information in his company and he is very afraid that the regulatory body will realize this. According to Donald Cressey’s fraud triangle theory, this person is under a lot of pressure and will most likely continue to hide the crime.

Case 4 event fraud lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed vitae urna suscipit, efficitur mi at, pulvinar tortor.
In dapibus orci varius risus auctor luctus, phasellus eget sem neque. Praesent at justo. Aliquam et efficitur mi, eget feugiat erat.

Ninguno – 50%

Explanation of relevance case 4 ac mi sed lorem iaculis scelerisque cursus ac nulla. Duis ex leo, lacinia nec imperdiet non, rhoncus ut leo. Etiam at hendrerit sapien. Suspendisse at augue porta, molestie sem in, condimentum ligula. Integer egestas eu diam vitae tempus. Donec convallis feugiat tortor id hendrerit. In at felis et metus.

... I am very worried about the issue of the superfinanciera, I think that they can open a complicated Pandora's box for us, there is not much to do because the super is already on top of it, all that remains is to pray and hope that it is not caught ...

robot-fraud    Relevant81

The message portrays very suspicious
behavior as the person is scared of what
the regulatory body might find and prays
that they don't notice anything wrong.
According to Donald Cressey's fraud
triangle theory, this person would be under
a lot of pressure and could be tempted
to hide a dishonest act
to avoid being fired

Compliance

... we almost got caught in the audit because we are not maintaining the supplier risk assessment. We told them we were doing it but we all know our fault, we have to do it as soon as possible ...

robot-fraud   Relevant72

The message presents unethical
and dishonest behavior because
they are telling lies to the auditor when
he asks them about the supplier risk matrix.
According to Donald Cressey's fraud triangle
theory, this person would be justifying
his lies to protect his job and not be fired,
putting the organization at great risk

Providers

... I find it incredible that we have not had any problems with the regulator in the past because of this. I find it very serious that we are manipulating these figures. If they find out, our entire business will collapse ...

robot-fraud    Relevant89

The message presents a very risky,
dishonest and fraudulent behavior
because the person is acknowledging
that there is manipulation of financial
information in his company and he is
very afraid that the regulatory body
will realize this. According to Donald
Cressey's fraud triangle theory,
this person is under a lot of pressure
and will most likely continue
to hide the crime

Manipulation

... we have that vault full of money, too much has come in and we have already exceeded the limit allowed by audit. We are exposed to a fine and even theft, this area is very dangerous and they could rob us ...

robot-fraudGood77

The message depicts risky behavior
because the person is very scared of
having breached the bank vault limits
and being in a dangerous area could
expose them to robbery.
According to Donald Cressey's fraud
triangle theory, this person is under
a lot of pressure because they feel
they could be robbed for having
violated an audit control

Robbery
Link to: Contacto
Link to: Contacto

FraudGPT is capable of reasoning about the presence of unethical acts in corporate communications.

Link to: Contacto

NOFRAUD.la

We detect and prevent corporate fraud
with innovative solutions

In Our Site

Where we are

  • services@nofraud.la
  • Chicago, United States
    Main Office
  • México, Guatemala, Costa Rica, Panamá, Colombia, Perú, Ecuador, Chile, Argentina, Uruguay, Bolivia, Dominican Republic

Certifications

We are audited annually and
our solutions have a current
SOC 2 report

© NOFRAUD Latam LLC.