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Prioritizing Threats: Why Most Companies Get It Wrong
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Dr.T
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Dr.T,
User Rank: Ninja
3/28/2017 | 8:50:05 PM
good point
"... What can you do to get a more accurate prioritization list? Focus on multiple-threat attack chains rather than threats alone ..."

This is a good point and this should follow a layered security measures being put in place.
Dr.T
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50%
Dr.T,
User Rank: Ninja
3/28/2017 | 8:48:10 PM
Good example
"... For example, if the medium-risk threat on the file server included access to the corporate intellectual property, and you have no ability to detect who accesses which files, this isn't easy to detect (10) and the severity is high (9 or maybe a 10). "

Makes sense and good example to explain and make the point. We actually use this steps.
Dr.T
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50%
Dr.T,
User Rank: Ninja
3/28/2017 | 8:45:47 PM
Re: Holistic data stewardship
"... The holistic viewpoint is much needed among cybersecurity analysts ..."

Good point and hard to achieve, security personnel are mainly working as fire extinguishers, so not time for them to come up with a holistic viewpoint.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
3/28/2017 | 8:43:42 PM
Re: Holistic data stewardship
"... by attackers going after singular threats at completely two completely different organizations (Amazon and Apple). ..."

That makes sense, it might be easier for attackers to focus on one thing then trying to achieve many things at once.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
3/28/2017 | 8:41:51 PM
Risk prioritization
Risk prioritization is difficulty and when it comes to security it is more difficult. Partially it is because we do not really know what the treats are.
Joe Stanganelli
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50%
Joe Stanganelli,
User Rank: Ninja
3/28/2017 | 7:39:19 PM
Holistic data stewardship
Indeed, this is how Wired reporter Mat Honan had his entire digital life compromised and taken away from him a few years back -- by attackers going after singular threats at completely two completely different organizations (Amazon and Apple).  The holistic viewpoint is much needed among cybersecurity analysts -- and, for that matter, anyone who works on any aspect of data stewardship.  Alas, few see it that way.


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