July 2020 Webinar #2: Cybersecurity risk assessment with R | Corey Neskey

When
2020-07-31
14:00

Speaker: Corey Neskey

Risk assessment is challenging when data is unavailable, hard to obtain, or costly to process. Organizations often request estimates from experts instead. I present my package unsuR for turning expert estimates into insights for stakeholders. unsuR facilitates estimate collection using GoogleSheets, simulates data using estimates as parameters, and derives probabilistic statements summarizing resulting distributions like “There is a 60% chance of your company losing over $50,000 due to a data breach.” It also produces and automates risk assessment reports. unsuR can inform decisions like whether a $3 million per year next-generation firewall is “worth it” considering preventable annual losses minus tangible costs like pricetag, along with intangibles like how the firewall inconveniences our data scientists whom the firewall unexpectedly blocked from reaching CRAN. Perhaps firewall options range $50-$6 million annually, or maybe finding engineers familiar with an obscure firewall technology adds another $50k in recruiting expenses, leaving us in a bad situation when they quit. Such considerations can and should be part of decision making processes; unsuR makes this possible

To access the demo dashboard, visit https://cneskey.github.io/unsuR/output/unsuR_Report.html.

https://github.com/cneskey/unsuR

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July 2020 Webinar #2: Cybersecurity risk assessment with R | Corey Neskey

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