and software design ltd
have since 1998 been involved in the highly specialized
field of fraud detection and fraud detection systems. Increasingly,
financial institutions and businesses do not include fraud
detection as a part of their core business and look outside
the company for the level of expertise required. There is
a growing need for experts in this area; we are therefore
offering our services internationally.
Ours main services can be categorized
All fraud detection
systems will at some point in time need to be refreshed
if they are used correctly. This is self evident, the system
is build on historical data, and as new fraud patterns emerge,
the system will increasingly be unable to cope. But when
does this occur ?
We have over the years developed a method to measure the
performance of fraud detection systems. The methodology
used to detect fraud is not relevant here, it may use artificial
neural networks, fuzzy-logic, rules or it may even be manual.
We help establish the guidelines and standards for the client
that determines at what level the fraud detection system
needs refreshing based on the number of frauds experienced.
The guidelines can then be compared to the values we calculate
in the performance analysis, which include:
· Card Detection Rate
· Transaction Detection Rate
· Volume Detection Rate
· Detection Delay
A typical performance
on your frauds is essential when determining how, if necessary
to attack the problem. You need to know how much and how
many, when, where and if there are obvious patterns. We
deliver a detailed report and suggestions on steps to take.
For systems running artificial neural networks, we can find
the features most likely to be affective. Each feature will
be given in mathematical notation with a detailed description
and its correlation coefficients with fraud specified. There
may be anywhare from 50 to hundrads of feature in a given
system A typical feature can be expressed mathematically
For systems running on rules, we can find the ones most
likely to be affective. Each rule will be given in mathematical
notation with a detailed description and its correlation
coefficients with fraud specified. A typical rule can be
expressed mathematically e.g.
Fraud pattern research, fraud analyzes and rule or feature
finding are fundamental in all fraud detection methods,
we are also experienced in designing, developing and implementing
fraud detection systems and/or assisting in choosing the
right product for your organization.
Please do not hesitate to contact
us if you think our services will benefit your company.
Email us at firstname.lastname@example.org