Sheh, R.
and Harriss, D.
(2024),
Cybersecurity and AI Risk Managment for Uncrewed Systems - Challenges and Opportunities Using the NIST Frameworks, Cybersecurity and AI Risk Management for Uncrewed Systems - Challenges and Opportunities Using the NIST Frameworks, San Diego, CA, US, [online], https://doi.org/10.52202/075106-0003, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957813
(Accessed December 30, 2024)
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Cybersecurity and AI Risk Managment for Uncrewed Systems - Challenges and Opportunities Using the NIST Frameworks
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Abstract
Uncrewed Systems are becoming both increasingly connected and increasingly automated. With these increases come significant changes in the Cybersecurity and AI risks associated with such systems. This is particularly important in safety-critical applications, such as public safety, security, infrastructure inspection, hazardous materials handling, transportation and delivery, and entertainment. This paper provides an overview of Uncrewed Systems and the ways in which increasing connectivity and automation pose new and increased Cybersecurity and AI risks. We provide some examples of these risks and suggest examples of controls that may be employed to manage these risks, with reference to the NIST Cybersecurity Risk Management Framework (CSF) 2.0 and the NIST AI Risk Management Framework (AI RMF). We also outline our new working group's efforts to produce detailed, actionable guidance and other resources to help stakeholders better manage these risks, particularly for the Uncrewed Aircraft Systems (UAS) for Public Safety application.Proceedings Title
Cybersecurity and AI Risk Management for Uncrewed Systems - Challenges and Opportunities Using the NIST Frameworks
Conference Dates
April 22-25, 2024
Conference Location
San Diego, CA, US
Conference Title
Exponential 2024
Pub Type
Conferences
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Keywords
#UncrewedSystems #Cybersecurity #AIrisks #PublicSafety #InfrastructureSecurity #UAS #RiskManagement #FirstResponders #AIriskManagement #AIcontrols
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Created September 26, 2024