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								README.md
								
								
								
								
							
							
						
						
									
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			@ -5,7 +5,17 @@ Skeleton Monarc Project
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Introduction
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------------
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Skeleton Monarc Project.
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CASES promotes information security through the use of behavioural, organizational and technical measures. Depending on its size and its security needs, organisations must react in the most appropriate manner.
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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.
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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.
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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 (Method for an Optimised aNAlysis of Risks by CASES), allowing precise and repeatable risk management.
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The advantage of MONARC lies in the capitalisation of risk analyses already performed in similar business contexts: the same vulnerabilities
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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.
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More information: [Optimised risk analysis Method] (https://www.cases.lu/index-quick.php?dims_op=doc_file_download&docfile_md5id=56ee6ff569a40a5b52bed0e526a6a77f) (pdf)
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Installation
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------------
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			@ -24,7 +24,7 @@
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    "repositories": [
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        {
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            "type": "vcs",
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            "url": "git+ssh://gogs@rhea.netlor.fr:2222/monarc/zm_core"
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            "url": "https://github.com/CASES-LU/zm-core"
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        },
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        {
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            "type": "vcs",
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