Risk Based Authentication

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• Risk Based Authentication
• Published By
• https//accelerite.com/products/neuro/

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• Identity fraud is the major security concern
  for most of the organizations doing Internet
  businesses today. It has an influence on the cost
  of doing business, increasing customer anxiety
  and thereby inviting government regulation. The
  best way to prevent identity fraud would be to
  adopt a layered approach to security. Fraud
  detection would be a critical security layer,
  which would include Risk-based Authentication as
  a mechanism for fraud detection.Checkout
  Accelerite Neuro for more info.

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• Risk-based authentication is a technique
  that uses both contextual and historical user
  information, along with data supplied during
  Internet transaction, to assess the probability
  of whether a user interaction is authentic or
  not. Let us see what contextual and historical
  user information mean. The contextual information
  typically includes the traditional username and
  password in addition to the following information
  like who the user is, from where they are logging
  in (IP addresses, location information - city the
  user is actually in at the time of
  communication), what kind of device they are
  using. Historical user data includes specific
  attributes provided from the session as well as
  user behavior and transaction patterns. This
  information represents an additional
  authentication factor that supplements the
  username and password, making this an enticing
  multifactor authentication technique.

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• The risk-based authentication model is
  built on a rule engine that takes into account
  multiple combination of parameters such as IP
  address, location etc. as described above. This
  data can be used to create a pattern to compare
  with those in future authorization attempts. The
  rule engine checks each transaction to see if it
  matches any pre-determined pattern for fraudulent
  transactions. Since online fraud patterns evolve
  rapidly, the rule engine must deploy automatic
  pattern recognition and self-learning
  capabilities, in order to quickly find new
  patterns to prevent fraud. A machine learning,
  anomaly-detection system can also be used to
  address the shortcomings of rule-based systems.
  https//accelerite.com/products/neuro/

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• In risk-based authentication, much of the
  contextual data is susceptible to fraud. Although
  it is difficult to replicate the contextual data,
  a fraudster could try and spoof with the
  intention of fooling the authentication system in
  which case the fraudster would have to know all
  the specific attributes that the authentication
  algorithms and then painstakingly replicate the
  attributes. Fortunately, the difficulties in
  exploiting this, along with the availability of
  historical data that cannot be spoofed, make
  risk-based authentication more effective. Click
  here.

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• Risk-based authentication enables
  Internet businesses to assess security risks and
  use out-of-band challenge and response mechanism
  as a second factor authentication only when
  necessary. Risk-based authentication works
  behind-the-scenes and has a minimal impact on
  users. Risk-based authentication can occur at
  initial log in and may also be performed at
  subsequent interactions during secure sessions as
  well as during high-risk transactions.

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• Summary
• Accelerite Neuro are a
  software provider that has set out to "Simplify
  and Secure the Enterprise Infrastructure". Neuro
  works with your existing SSO and MFA solutions,
  treating them as authentication options.
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• Visit this site to learn more
• https//accelerite.com/products/neuro/
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