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updated README.

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Cédric Bonhomme 2017-10-18 11:02:13 +02:00
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@ -9,41 +9,36 @@ MONARC - Method for an Optimised aNAlysis of Risks by CASES
Introduction
------------
[CASES](https://www.cases.lu) promotes information security through the use of
behavioral, organizational and technical measures. Depending on its size and its
security needs, organizations must react in the most appropriate manner.
Adopting good practices, taking the necessary measures and adjusting them
proportionally: all this is part of the process to ensure information security.
Most of all, it depends on performing a risk analysis on a regular basis.
Depending on its size and its security needs, organisations must react in the
most appropriate manner. Adopting good practices, taking the necessary measures
and adjusting them proportionally: all this is part of the process to ensure
information security. Most of all, it depends on performing a risk analysis on
a regular basis.
Although the profitability of the risk analysis approach is guaranteed, the
investment represented by this approach in terms of the required cost and
expertise is a barrier for many companies, especially SMEs.
To remedy this situation and allow all organizations, both large and small, to
To remedy this situation and allow all organisations, both large and small, to
benefit from the advantages that a risk analysis offers, CASES has developed an
optimised risk analysis method:
[MONARC](https://github.com/monarc-project/MonarcAppFO)
(Method for an Optimised aNAlysis of Risks by CASES), allowing precise and
repeatable risk management.
optimised risk analysis method: [MONARC](https://github.com/monarc-project)
(**Optimised Risk Analysis Method**), allowing precise and repeatable risk
management.
The advantage of MONARC lies in the capitalization of risk analyses already
performed in similar business contexts: the same vulnerabilities
regularly appear in many businesses, as they face the same threats and generate
similar risks. Most companies have servers, printers, a fleet of smartphones,
Wi-Fi antennas, etc. therefore the vulnerabilities and threats are the same.
It is therefore sufficient to generalize risk scenarios for these assets (also
called objects) by context and/or business.
More information:
[Optimised risk analysis Method](https://www.cases.lu/index-quick.php?dims_op=doc_file_download&docfile_md5id=56ee6ff569a40a5b52bed0e526a6a77f) (pdf)
The advantage of MONARC lies in the capitalisation of risk analyses already
performed in similar business contexts: the same vulnerabilities regularly
appear in many businesses, as they face the same threats and generate similar
risks. Most companies have servers, printers, a fleet of smartphones, Wi-Fi
antennas, etc. therefore the vulnerabilities and threats
are the same. It is therefore sufficient to generalise risk scenarios for these
assets (also called objects) by context and/or business.
Documentation
-------------
For a general user documentation see
[here](https://github.com/monarc-project/MonarcAppFO/tree/master/docs).
You will find a user guide and a technical guide on the
[MONARC website](http://monarc.lu/).
For installation instructions see
[INSTALL](https://github.com/monarc-project/MonarcAppFO/tree/master/INSTALL).
@ -52,6 +47,7 @@ If you want to test MONARC you can use the
[latest release](https://github.com/monarc-project/MonarcAppFO/releases/latest)
available as a VirtualBox machine.
Contributing
------------