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Applications
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Banking and Financial Applications
- Account access authorization.
- Login verification
- Email location control (inbound and outbound) |
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eCommerce
- Merchant
processing to compare the users actual
location with the credit card AVS records. This
substantially reduces the risk to merchant from
on-line transaction fraud. For example, if a
person's transaction history have been in the Chicago
area, online transactions in remote areas such as
Boston and Orlando can be identified and denied.
- Account access authorization.
- Login verification
- Email location control (inbound and outbound) |
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Law enforcement & government |
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Medical & Insurance |
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Marketing |
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Gaming |
Geocate uses a deterministic, adaptive
Artificial Intelligence engine that track, learn
and predict future networking activity, behavior and
events. Adaptive Stores™ provided, adapt to network
changes in real-time and can collaborate with other
Geocate servers to provide higher degrees of granularity and
knowledge sharing between different applications.
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Any organization that wants to know where an
Internet user's physical geographic location is in
real time can benefit from Geocate.
Either as a stand alone authentication tool, or when
used with other fraud control tools, Geocate can
have a significant positive impact on online fraud
rates.
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Financial
Services Applications
On-line account accesses are all too often inadequately
"protected" by a simple user Id (often the account
number) and a simple password (sometimes the last few digits
of a social security or credit card number). Knowing where
the account is being accessed is an
essential part of profiling the users login behavior that
in turn can be used to identify potential login violation.
By determining where an account is being used, Credit Card
transactors can deny potentially fraudulent charges by
denying transactions that fall outside of the users usage
patterns. Geocate can identify that a card is being used
on-line from Boston, Dallas, Seattle and then Orlando within
a short period of time and this information can be used by
the card transactor to identify fraudulent card activity.
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