Kylie McClanahan
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
CTO
Also affiliated: Walmart (United States) (2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Kylie McClanahan's research focuses on the application of artificial intelligence and computational methods to cybersecurity and operational technology environments. Her work includes developing systems for tracking software vulnerabilities and optimizing remediation actions in operational technology settings. McClanahan has investigated AI-based open-source intelligence (OSINT) using social media data, specifically Twitter, for cyber event analytics. She has also explored methods for protecting control commands in smart grid systems through low-cost electromagnetic sensors. Her publications include work on recommender systems for vulnerability management and matching security advisories to Common Platform Enumerations (CPEs) using string similarity. McClanahan has collaborated with Qinghua Li, Dakota S. Dale, Marie Louise Uwibambe, and Philip Huff on various projects.
Metrics
- h-index: 6
- Publications: 11
- Citations: 276
Selected Publications
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Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments (2025)
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Twitter-Based OSINT for Cyber Event Analytics (2025)
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Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching (2024)
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When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly (2024)
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Protecting Control Commands Using Low-Cost EM Sensors in the Smart Grid (2023)
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AI-based Cyber Event OSINT via Twitter Data (2023)
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3 Infant-directed Vocal Communication in Sheep (2021)
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Automatically Locating Mitigation Information for Security Vulnerabilities (2020)
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A Machine Learning-based Approach for Automated Vulnerability Remediation Analysis (2020)
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Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality (2015)
Collaboration Network
Top Collaborators
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Twitter-Based OSINT for Cyber Event Analytics
- AI-based Cyber Event OSINT via Twitter Data
- Twitter-Based OSINT for Cyber Event Analytics
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- 3 Infant-directed Vocal Communication in Sheep
- 3 Infant-directed Vocal Communication in Sheep
- 3 Infant-directed Vocal Communication in Sheep
- 3 Infant-directed Vocal Communication in Sheep
- AI-based Cyber Event OSINT via Twitter Data
- Protecting Control Commands Using Low-Cost EM Sensors in the Smart Grid
- Protecting Control Commands Using Low-Cost EM Sensors in the Smart Grid
- Protecting Control Commands Using Low-Cost EM Sensors in the Smart Grid
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching
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