The Uncertainty Engine©

A unique and proven system, the Uncertainty Engine© (UE) ‘learns’ on data to create an understanding of what is normal, interesting, suspicious or unusual behaviour. Unlike conventional systems:

  1. It holds data in an uncertain state until it weighs the negative and positive attributes, in the same way as we humans form decisions.
  2. It creates its own totally adaptive rules to track dynamic data, reviewing past decisions in the light of any new information or actions - we have seen that rigid/ predetermined rules are all too simple for inventive/ adaptive people to circumnavigate.
  3. Operating on the binary level, it can cope with very large data sets ensuring that potentially important detail is not excluded to merely facilitate processing.
  4. It takes into account complex inter-relationships between apparently separate transactions – a function that creates difficulty for traditional mathematical modelling procedures.
  5. Unlike most tools in the market, patterns of activity sought do not have to be identical, only similar.
  6. Works across multiple data sources seamlessly incorporating all data irrespective of format or language.

The very efficient way the UE multidimensional data model is stored allows it to process up to 4,000 binary elements in each of up to 4,000 dimensions much faster than conventional systems. This ‘4k x 4k’ capability gives the UE its unique capability to discover patterns without predefined rules. It is worth noting that conventional systems typically claim 2 dimensions in each of 4 elements.

Security is always a concern for any data owners and so the UE can operate on a sealed black box within the corporate firewall on a secure FTP server or at Sinus Iridum’s secure data centre.

Summary:

A unique and proven system, the Sinus Iridum Uncertainty Engine© absorbs ‘experience’ from data to develop ‘intuition’ for what might be suspicious, normal or of interest to you.

"Information is not knowledge" – Albert Einstein
A White Paper
by D Goldsworth
The Limitations of Computers Computers are excellent at handling large data spaces where the rules are well known, but are unable to handle large data spaces where the rules are either not fully understood or are constantly changing, as is the case in virtually all the more complex business data systems.
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