There are a multitude of different data points and tools most teams have at their fingertips for effective vulnerability prioritization. However, many teams are only taking advantage of one or two of these, limiting their ability to truly know what needs to be fixed first. In this blog, we'll look at the 5 stages of vulnerability prioritization ranging from basic to advanced: ➡ Vulnerability severity ➡ Threat intelligence and exploitability ➡ Asset context and exposure ➡ Business context, and ➡ Effort to fix Read here: https://lnkd.in/gbXiPVYw. #VulnerabilityManagement
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A valuable area to spend some time at the start of 2024 - download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6046iWXQr
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Do you want help talking to the Board? Remember to address Risk, Value and Cost Keep it high level, concise but meaningful Use numbers - we all understand those - a good one is how many malicious scans were blocked at the perimeter - a huge number gets attention :o)
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Interesting paper. It touches a problem that is very dear to me. I think that it includes part of the answer. The second part is in https://aka.ms/tm-openfair.
🔍 Two passionate threat modelers met at #ThreatModCon23 and embarked on a collaborative journey toward understanding the value of Threat Modeling. The outcome? An experimental framework for defining Threat Modeling's value – a challenge faced by all in the field. Michael Bernhardt and Nick Kirtley are thrilled to share their insights on measuring this value and propose three key data points: ✔ Leveraging Bug Bounty Programs: Correlating Threat Modeling insights with Bug Bounty data to gauge effectiveness. ✔ Relating to Breach Data: Establishing connections between Threat Modeling outcomes and publicly available breach information. ✔ Mapping to Reputational and Regulatory Implications: Identifying how identified flaws impact reputation and compliance. Find out more about this framework in their latest article. Link in the comment. 🗣️Join the conversation and help shape this framework with your feedback! Leave your comments in the article or below. #ThreatModeling #ROI #RiskManagement
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Download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6042iqb3e
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Download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6044igylp
To view or add a comment, sign in
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Download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6048icCgg
To view or add a comment, sign in
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Download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6045i5Olc
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I need to pick your brains on a topic. Irrespective of the RMF, when you setup the risk matrix for the Org, you need to set some thresholds for the two axis : 1) between what values you consider the impact to be low, medium, high , severe, etc . Obviously you need to start defining the risk appetite and be aware of the organizational context, business goals and all that, but ultimately, are there any templates for choosing a value (ex: anything below 1% of margin is low)? same goes for likelihood : factors would be history of events/breaches, attack landscape in the industry, geography, trends (everything CTI), but is there a formula? Ex , we've had 0.2 breaches per year, we are seeing more attacks of type X targeting similar companies, add geopolitical instability in the region, do you add 0.1, 0.5 ? and do you consider extremely likely to be value ~1?
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Download the FREE Kroll MITRE #Cybermaturity Review Template, which outlines a lightweight programmatic approach to performing a maturity assessment to understand your organization’s coverage against the framework and to identify and prioritize areas for improvement: http://ms.spr.ly/6041ig373
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