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	<title>Comments on: Debating estimates of loss is a dead end</title>
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	<link>http://www.software.co.il/2008/08/debating-estimates-of-loss-is-a-dead-end/</link>
	<description>Security and compliance specialists for medical device and healthcare companies</description>
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		<title>By: Chris Hayes</title>
		<link>http://www.software.co.il/2008/08/debating-estimates-of-loss-is-a-dead-end/#comment-57</link>
		<dc:creator>Chris Hayes</dc:creator>
		<pubDate>Tue, 05 Aug 2008 11:21:06 +0000</pubDate>
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		<description>Great post! Looks like we have some common views on assessing and quantifying information security risk.</description>
		<content:encoded><![CDATA[<p>Great post! Looks like we have some common views on assessing and quantifying information security risk.</p>
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		<title>By: Eric Priezkalns</title>
		<link>http://www.software.co.il/2008/08/debating-estimates-of-loss-is-a-dead-end/#comment-56</link>
		<dc:creator>Eric Priezkalns</dc:creator>
		<pubDate>Sun, 03 Aug 2008 21:39:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.software.co.il/wordpress/?p=442#comment-56</guid>
		<description>Danny,

I do not profess to be an expert about information security, but I certainly agree with the analogies you draw.  There are many obstacles to overcome when seeking to create a measure of the extent to which systems are flawed, or prone to risk, failure or exploitation.  We know intuitively that life is not perfect.  However, measuring the degree of imperfection is another matter, even when dealing with systems whose other aspects can be perfectly quantified.  The problem stems from our lack of a perfect, and generic, model to use as a basis for comparison.  Attempts to create such a model often succumb to the temptation to substitute pseudo-science for an approach founded on real empirical results.  Of course, obtaining empirical data from many sources is problematic because the subject matter is imperfection.</description>
		<content:encoded><![CDATA[<p>Danny,</p>
<p>I do not profess to be an expert about information security, but I certainly agree with the analogies you draw.  There are many obstacles to overcome when seeking to create a measure of the extent to which systems are flawed, or prone to risk, failure or exploitation.  We know intuitively that life is not perfect.  However, measuring the degree of imperfection is another matter, even when dealing with systems whose other aspects can be perfectly quantified.  The problem stems from our lack of a perfect, and generic, model to use as a basis for comparison.  Attempts to create such a model often succumb to the temptation to substitute pseudo-science for an approach founded on real empirical results.  Of course, obtaining empirical data from many sources is problematic because the subject matter is imperfection.</p>
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