By combining all of these technologies, Brighterion brings to the market the first fraud prevention solution that makes effective changes during run-time and adapts to new and previously unknown fraud behaviors.
iPrevent, iProtect and iComply are all based on Brighterion's underlying core technology, MINDsuite. MINDsuite is a suite of ten artificial intelligence technologies. Over 500 man-years went into its development and many more years have been invested in developing real world applications in world class organizations, bringing accolades from professionals around the globe. Organizations using MINDsuite benefit greatly from reduced development costs and exponential returns on their investment.
Each MINDsuite technology has its own set of characteristics that can be used in specific applications. However, industrial applications often need the alliance of several complementary technologies. iPrevent, iProtect and iComply do not require any artificial intelligence or programming skills. The ten technologies are the following:
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Smart Agents Technology |
Smart-Agents are systems consisting of independent
entities that interact and negotiate with each other in order to reach their
individual and collective goals. Distinct from algorithmic systems, in which
the programmer defines how the system will solve problems, Smart-Agents
system determines how to find the solution. Each agent is provided with
goals that describe situations that are desirable or undesirable. Problems
are solved without extensive programming or defining a set of specific
rules.
iPrevent is the only product that
uses the power of Smart-Agents technology for Fraud Prevention. Every
transaction is accepted by either the bad (fraud) agent(s) or the good
(genuine) agent(s). The agents interact to determine which category each
transaction belongs.
Brighterion's Smart Agents, contrary to Neural Networks, Data Mining, Object-Oriented Programming, or Business Rules, can make effective changes at run-time if needed.
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Neural Networks |
A neural network is an interconnected assembly of simple processing elements, units or nodes whose functionality is loosely based on the animal neuron. The processing ability of the network is stored in the interunit connection strengths, or weights, obtained by a process of adaption to, or learning from a set of training patterns.
Neural Networks are often used for statistical analysis, classification and data modeling.
iPrevent's proprietary Neural Network technology can translate any database to neurons without user intervention and has significantly accelerated the speed of convergence as compared to typical Neural Network algorithms such as Back Propagation. iPrevent's Neural Network is incremental and adaptive, allowing the size of the output classes to change dynamically. Additionally, in its expert mode, iPrevent provides a library of twelve different Neural Network models for use in customization. |
Case-Based Reasoning |
Case-Based Reasoning is the use of past experiences or cases to solve new problems. A case is translated to a list of features that leads to a certain outcome.
The inductive indexing capabilities in iPrevent's CBR provide major advantages over Neural Networks, Business Rules, and Data Mining by learning from a wider range of past experiences. iPrevent's CBR technology translates a database to cases without user intervention. The cases created are then used to classify the normal/abnormal behavior in real-time.
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Fuzzy Logic |
Fuzzy Logic handles uncertainty in data.
iPrevent's Fuzzy Logic technology is integrated with Brighterion's Smart Agents, Neural Networks, Genetic Algorithms, Business Rules, Constraint programming and Case-Based Reasoning. iPrevent is the only Business Rules Management System in the market that allows fraud experts to write powerful rules with the following syntax: When the number of cross border transactions is high and when the transaction is done late in the night then the transaction is suspicious.
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Genetic Algorithms |
Genetic Algorithms are able to address complicated problems with many variables and a large number of possible outcomes, by simulating the evolutionary process of “survival of the fittest” to reach a defined goal.
iPrevent’s Genetic Algorithm has specific fraud evaluation functions for finance, healthcare, insurance, money laundering, e-commerce, telecommunications and defense and homeland security.
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Business Rules |
Business Rules are the most widely used commercial applications developed using Artificial Intelligence (AI). Rules are composed of if and then statements. An inference engine automatically matches facts against conditions of the rules and determines which are applicable.
The most widely known algorithms for compiling rules are RETE and TREAT. iPrevent's Business Rules, go beyond these two algorithms by automatically creating an engine for each rule and drastically improve the scalability.
iPrevent Business Rules is an object-oriented software that allows
flexibility, personalization capabilities, rapid application
configuration, modification and deployment. iPrevent rule builder
provides a text editor and an intuitive web-based browser interface
for writing, editing and testing the business rules or meta rules without
any programming skills.
With iPrevent,
there is no limit to the number or kinds of rules that you can dynamically
implement and deploy without stopping the system.
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Optimization Suite |
Constraint programming is a programming paradigm wherein relations between variables are stated in the form of constraints. Constraints differ from the common primitives of imperative programming languages in that they do not specify a step or sequence of steps to execute, but rather the properties of a solution to be found. This makes constraint programming a form of declarative programming.
Brighterion's constraint programming technology relieves programmers of the burden of learning a new language. Most programmers can generate their first optimization program in less than one hour
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Data Mining |
Data Mining, or knowledge discovery is the nontrivial extraction of implicit, previously unknown and potentially useful information from data. It is the search for the hidden relationships and global patterns that exist in large databases.
iPrevent’s data mining algorithms (over a dozen different algorithms) include also different tools to address: data cleaning, data preparation & enrichment, sampling, learning association and classification, clustering and simulation.
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Text Mining |
Text mining is the discovery of
previously unknown information by automatically extracting information
from unstructured or structured text files.
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Velocity Analyzer |
iPrevent Velocity Analyzer enables financial institutions to monitor a wide assortment of customer and merchants data, such as production purchasing patterns, suspicious change in activities, number of transactions over a window of time, etc.
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