2019
DOI: 10.1177/1071181319631079
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Opportunities and Challenges for Human-Machine Teaming in Cybersecurity Operations

Abstract: Many of the challenges associated with cybersecurity operations are also ripe opportunities for the application of human-machine teaming. Advances in cognitive science, artificial intelligence, and machine learning promise the technology to achieve the level of intelligence and sophistication necessary to create a true intelligent teammate. This panel gathers experts from across the community to discuss the challenges and opportunities for human-machine teaming in cybersecurity operations.

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Cited by 13 publications
(2 citation statements)
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“…Issues of computer security and privacy are fundamentally related to peoples' needs, goals, beliefs, and interactions. This group has previously examined sponsor perspectives (Gutzwiller, Cosley, Ferguson-Walter, Fraze, & Rahmer, 2019) and human-machine teaming (Paul, Blaha, Fallon, Gonzalez, & Gutzwiller, 2019), but the intersection of cybersecurity and human concerns is vast ( Gutzwiller, Fugate, Sawyer, & Hancock, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Issues of computer security and privacy are fundamentally related to peoples' needs, goals, beliefs, and interactions. This group has previously examined sponsor perspectives (Gutzwiller, Cosley, Ferguson-Walter, Fraze, & Rahmer, 2019) and human-machine teaming (Paul, Blaha, Fallon, Gonzalez, & Gutzwiller, 2019), but the intersection of cybersecurity and human concerns is vast ( Gutzwiller, Fugate, Sawyer, & Hancock, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…HATs leverage a state of interdependence to benefit from their complementary relationships (Johnson & Vera, 2019) and combine the diverse capabilities of organic and non-organic team members by distributing the necessary actions to achieve a task among both types of team members (Cooke et al, 2020;Lyons et al, 2021;Roth et al, 2019). Example domains that encompass HATs include healthcare (Endsley et al, 2022), aviation (Rieth et al, 2021) and cybersecurity (Hauptman et al, 2023;Lyn Paul et al, 2019).…”
mentioning
confidence: 99%