<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>The Best Practice Network Guidelines &#124; The Best Practice Network &#187; Calculating Risk Assessment Values</title>
	<atom:link href="http://www.best-practice.com/risk-management-best-practices/risk-assessment/calculating-risk-assessment-values/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.best-practice.com</link>
	<description>Definition of a best practice. &#039;Best Practices&#039; are rules, standards, regulation relating to compliance, audit, risk management.</description>
	<lastBuildDate>Sat, 14 Sep 2013 10:48:44 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.6</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Calculating Risk Assessment Values</title>
		<link>http://www.best-practice.com/risk-management-best-practices/risk-assessment/calculating-risk-assessment-values/calculating-risk-assessment-values-28122011/</link>
		<comments>http://www.best-practice.com/risk-management-best-practices/risk-assessment/calculating-risk-assessment-values/calculating-risk-assessment-values-28122011/#comments</comments>
		<pubDate>Wed, 28 Dec 2011 07:36:27 +0000</pubDate>
		<dc:creator>Matthew S.</dc:creator>
				<category><![CDATA[Calculating Risk Assessment Values]]></category>
		<category><![CDATA[Best Practices]]></category>
		<category><![CDATA[Risk Management]]></category>

		<guid isPermaLink="false">http://www.best-practice.com/?p=1123</guid>
		<description><![CDATA[CEOs and project managers need to evaluate the risks associated with their decisions for best practices. There are three variables of best practices needed for calculating the Risk Assessment Value (RAV). These three variables are:
1.The Operational Security (OpSec): This is used to identify important information in order to determine whether a friendly approach can be [...]]]></description>
			<content:encoded><![CDATA[<p>CEOs and project managers need to evaluate the risks associated with their decisions for best practices. There are three variables of best practices needed for calculating the Risk Assessment Value (RAV). These three variables are:<strong></strong></p>
<p><strong>1.The Operational Security (OpSec): </strong>This is used to identify important information in order to determine whether a friendly approach can be used for preventing adverse effects. This best practice involves observation using an intelligence system to interpret the information to make it useful. Once the information is interpreted as useful, measures are taken to eliminate or minimize exploitation of the important information. This is an important risk management best practice. Operational Security has three variables:</p>
<p>i.      Visibility<br />
ii.      Trust, and<br />
iii.      Access</p>
<p><strong>2.The Actual Security (ActSec):</strong> This best practice is simply described as the process of evaluating the actual risk associated with sensitive information. It can be existing risks of exploitation of the information. Calculating the ActSec is also an essential risk management best practice. There are five variables of Actual Security:</p>
<p>i.      Vulnerabilities<br />
ii.      Weaknesses<br />
iii.      Concerns<br />
iv.      Exposures, and<br />
v.      Anomalies<strong></strong></p>
<p><strong>3.The Number of Loss Controls (LC): </strong>Risk management is all about implementing best practices using controls. There can be a number of controls managers implement in order to mitigate risks. Therefore, the number of loss controls is important in evaluating the Risk Assessment Values. There are ten variables of best practices associated with loss controls. These include:</p>
<p>i.            Authentication<br />
ii.            Alarm<br />
iii.            Confidentiality<br />
iv.            Continuity<br />
v.            Indemnification<br />
vi.            Integrity<br />
vii.            Privacy<br />
viii.            Repudiation<br />
ix.            Safety<br />
x.            Usability</p>
<h2>The Equation for RAV</h2>
<p>The equation for calculating RAV requires a base number to be assigned to each category of best practices. The base number may represent the protected scope (LC<sub>Base</sub> and OpSec<sub>Base</sub>), or it may represent the extent of risk caused (ActSec<sub>Base</sub>). Based on these evaluations, the following equation can be used to calculate the base numbers with best practices.</p>
<p>OpSec<sub>Base </sub>=             <span style="text-decoration: underline;">100 – OpSec<sub>Sum</sub></span></p>
<p>(Scope + OpSec<sub>Sum</sub>)</p>
<p>LC<sub>Base</sub> =             <span style="text-decoration: underline;">Scope x LC<sub>Sum</sub> x 0.1</span></p>
<p>Scope + OpSec<sub>Sum</sub></p>
<p>The LC<sub>Sum</sub> must be multiplied by 0.1 in order to normalize the 10 categories into one single input. This is a very sensitive best practice for this calculation and must not be overlooked.</p>
<h2>Calculating ActSec</h2>
<p>Calculating ActSec is done based on those values that distinguish between a verified problem and an identified problem for best practices. An identified problem is one that has been confirmed through an interview, an assumption or vulnerability detection. Verified problems are those that have been confirmed through manual processes by auditors. To calculate ActSec<sub>Sum</sub> best practice variables the following values are to be used for the Actual Security base input in the RAV equation.</p>
<p>Calculating the ActSec<sub>Sum</sub> is done by calculating it as the average value of each input and then multiplying it by the corresponding value. This is not a very difficult best practice. The equation is as follows:</p>
<p>ActSec<sub>Base </sub>=             <span style="text-decoration: underline;">ActSec<sub>Sum</sub></span></p>
<p>Scope</p>
<p>The <a href="http://www.k8science.org/resources/files/7_BLCh_CalculatingRisk.pdf">RAV calculation</a> corresponding to the above equation will then be:</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>Distinguishing between the base number and the sum number is a very important best practice. Therefore, during calculations taking special note of these values a very crucial best practice for effective risk management.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.best-practice.com/risk-management-best-practices/risk-assessment/calculating-risk-assessment-values/calculating-risk-assessment-values-28122011/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
